Conference Papers

  • 1. T. P. Hong and S. S. Tseng, "A parallel concept learning algorithm based upon version space strategy," The IEEE International Phoenix Conference on Computers and Communication, 1990, pp.734-740.
  • 2. T. P. Hong and S. S. Tseng, "A generalized learning problem," The International Computer Symposium, Taiwan, R.O.C., 1990, pp.517-522.
  • 3. T. P. Hong and S. S. Tseng, "A parallel perceptron learning algorithm," The International Conference on Parallel Processing, 1991, pp.288-289.
  • 4. T. P. Hong and S. S. Tseng, "Trade-off between time complexity and accuracy of perceptron learning," The IEEE Region 10 International Conference on Energy, Computer, Communication and Control Systems, 1991, pp. 157-161.
  • 5. T. P. Hong and S. S. Tseng, "Models of parallel learning systems," The IEEE International Conference on Distributed Computing Systems, 1991, pp.125-132.
  • 6. T. P. Hong and S. S. Tseng, "Generalized ID3," Proceeding of 4th International Conference on Computing and Information, 1992, pp.215-218.
  • 7. T. P. Hong and S. S. Tseng, "Comparison of ID3 and its generalized version," The Fourth IEEE International Conference on Computing and Information, 1992, pp.241-244.
  • 8. T. P. Hong and S. S. Tseng, "Splitting and merging: an approach to disjunctive concept acquisition," The IEEE/SICE International Workshop on Emerging Technologies for Factory Automation, 1992, pp.201-205.
  • 9. K. C. Chang, S. S. Tseng and T. P. Hong, "Embedding the characteristics of human learning in machine learning," The international Computer Symposium, Taiwan, R.O.C., 1992, pp. 861-867.
  • 10. T. P. Hong and S. S. Tseng, "A nearly optimal parallel perceptron learning algorithm on a fixed number of processors," The Neural Network Conference, Taiwan, R.O.C., 1992, pp. 83-92.
  • 11. T. P. Hong and S. S. Tseng, "Analysis of the boundary sets in version space," The National Computer Symposium, Taiwan, R.O.C., 1993, pp.169-177.
  • 12. T. P. Hong, J. J. Lee and S. S. Tseng, "Feasibility of the broadcast communication model on neural learning," The 1993 International Symposium on Artificial Neural Networks, 1993, pp. A48-A56.
  • 13. Y. T. Hsu, S. S. Tseng and T. P. Hong, "Arranging appropriate training order in noisy domains," The Second World Congress on Expert Systems, 1994.
  • 14. T. P. Hong, J. J. Lee and S. S. Tseng, "A probabilistic back-propagation learning algorithm for classification problems" The 1994 International Symposium on Artificial Neural Networks, 1994, pp. 1-6.
  • 15. T. P. Hong and C. Y. Lee, "Learning fuzzy rules and membership functions from training examples," The 1994 International Computer Symposium, 1994, pp. 351-356.
  • 16. K. M. Yu, M. M. Kuo and T. P. Hong, "A heuristic for imprecise problem using simulated annealing," The 1994 International Computer Symposium, 1994, pp. 132-137.
  • 17. 洪宗貝和曾憲雄, "機器學習中緩慢學習速度之解決方法," 第一屆三軍官校基礎學術研討會(邀稿), 1994, pp. NS01-NS09.
  • 18. T. P. Hong, "HELP - A handy environment for learning Pascal," The 4th International Conference on Computer Assisted Instruction, 1995, pp.50-54.
  • 19. T. Y. Juang, T. P. Hong and H. Y. Hsu, "Implementation and performance evaluation of parallel ID3 on the nCube2 multiprocessor system," The 8th Annual Florida AI Research Symposium, 1995, pp.152-156.
  • 20. C. H. Wang, S. S. Tseng and T. P. Hong, "Learning nonlinear boundaries by the classification tree net classifier," The 8th Annual Florida AI Research Symposium, 1995, pp.324-328.
  • 21. T. P. Hong, C. M. Huang, and K. M. Yu, "A fuzzy LPT algorithm for scheduling," 1995 IEEE International Conference on Systems, Man, and Cybernetics, 1995, pp.2588-2592.
  • 22. T. P. Hong, H. S. Wang and T. Y. Juang, "A dynamic crossover genetic algorithm," National Computer Symposium, Taiwan, R.O.C., 1995, 596-602.
  • 23. C. H. Wang, T. P. Hong and S. S. Tseng, "Generating fuzzy rules from numerical data by inductive learning strategy," National Computer Symposium, Taiwan, R.O.C., 1995, pp.633-640.
  • 24. C. H. Wang, T. P. Hong and S. S. Tseng, "Entropy-tree net learning model for non-linear boundaries," National Computer Symposium, Taiwan, R.O.C., 1995, pp.646-653.
  • 25. T. P. Hong and T. N. Chuang, "Fuzzy Johnson's algorithm for two-machine flow shop," The Ninth International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems, Japan, 1996, pp. 201-206.
  • 26. T. P. Hong and J. J. Lee, "Speed up the back-propagation learning algorithm by the broadcast communication model," IEEE International Conference on Neural Networks, Vol. 2, 1996, pp. 1340-1344.
  • 27. 陳智彬和洪宗貝, "模糊資料分析和規則歸納之研究," 八十五年度全國管理碩士論文獎暨研討會, Vol. 5, 1996, pp. 328一4.
  • 28. 莊宗南和洪宗貝, "模糊理論於工業排程之應用," 八十五年度全國管理碩士論文獎暨研討會, Vol. 5, 1996, pp. 313生2.
  • 29. 洪宗貝和陳智彬, "隸屬函數自動擷取之研究," 邁向二十一世紀的品質管理技術與應用研討會, 1996, pp.535-544.
  • 30. 洪宗貝和莊宗南, "A fuzzy Palmer scheduling algorithm," 邁向二十一世紀的品質管理技術與應用研討會, 1996, pp.421-430.
  • 31. T. P. Hong and H. S. Wang, "A dynamic mutation genetic algorithm," IEEE International Conference on Systems, Man, and Cybernetics, Vol. 3, 1996, pp. 2000 - 2005.
  • 32. T. P. Hong and S. S. Tseng, "Primal-dual version spaces," IEEE International Conference on Systems, Man, and Cybernetics, Vol. 3, 1996, pp.2145-2148.
  • 33. C. H. Wang, T. P. Hong and S. S. Tseng, "Inductive learning from fuzzy examples," The Fifth IEEE International Conference on Fuzzy Systems, 1996, pp. 13-18.
  • 34. T. P. Hong and T. N. Chuang, "A fuzzy CDS scheduling algorithm," The Fifth International Conference on Emerging Technologies and Factory Automation, 1996.
  • 35. T. P. Hong and J. B. Chen, "Automatic acquisition of membership functions by data analysis," The Fourth International Workshop on Rough Sets, Fuzzy Sets and Machine Discovery, 1996, pp.315-319.
  • 36. T. P. Hong and T. N. Chuang, "A fuzzy Gupta scheduling algorithm," The Fourth International Workshop on Rough Sets, Fuzzy Sets and Machine Discovery, 1996, pp.320-324.
  • 37. C. J. Tsai, C. H. Wang, T. P. Hong and S. S. Tseng, "An inductive learning strategy with fuzzy sets," The International Conference on Artificial Intelligence, 1996, pp.63-69.
  • 38. K. M. Yu, J. W. Wu and T. P. Hong, "A load balancing algorithm using prediction," The AIZU International Symposium on Parallel Algorithms/ Architecture Synthesis, 1997, pp.159-165.
  • 39. 洪宗貝,薛健爵,李俊傑和陳美秀, "世全鋼鐵企業之全面電腦化," 第二屆台灣本土企業個案發表暨研討會論文集, 下冊, 1997, pp.435-448.
  • 40. K. M. Yu, J. W. Wu and T. P. Hong, "An adaptive load balancing algorithm in homogeneous systems," 1997 Workshop on Distributed System Technologies & Applications, 1997, pp.496-503.
  • 41. T. P. Hong and T. N. Chuang, "A fuzzy CDS scheduling algorithm for continuous fuzzy domain," The Second European Workshop on Fuzzy Decision Analysis and Neural Networks for Management, Planning and Optimization, 1997, pp.41-48 (Invited Paper).
  • 42. T. P. Hong and T. N. Chuang, "A new fuzzy Johnson algorithm for continuous fuzzy domain," The Seventh International Fuzzy Systems Association World Congress, 1997, Vol. 3, pp. 183-188.
  • 43. C. H. Wang, T. P. Hong and S. S. Tseng, "Knowledge integration by genetic algorithms," The Seventh International Fuzzy Systems Association World Congress, 1997, Vol. 2, pp. 404-408.
  • 44. C. H. Wang, J. F. Liu, T. P. Hong and S. S. Tseng, "FILSMR: A fuzzy inductive learning strategy for modular rules," The Sixth IEEE International Conference on Fuzzy Systems, 1997, pp.1289-1294.
  • 45. T. P. Hong and C. Y. Lee, "Data structure for a fuzzy machine learning algorithm," The Sixth IEEE International Conference on Fuzzy Systems, 1997, pp. 1315-1320 (Invited Paper).
  • 46. T. P. Hong and S. S. Tseng, "Two-phase PRISM learning algorithms," IEEE International Conference on Systems, Man, and Cybernetics, 1997, pp. 3895-3899.
  • 47. T. P. Hong, R. Jeng and W. C. Chen, "Internet computing on decision support systems," IEEE International Conference on Systems, Man, and Cybernetics, 1997, pp. 106-110 (Invited Paper).
  • 48. T. P. Hong and T. N. Chuang, "Fuzzy flow-shop problems on more than two machines," The Australasia-Pacific Forum on Intelligent Processing and Manufacturing of Materials, 1997, pp. Vol. 1, 208-213 (Invited Paper).
  • 49. T. P. Hong, "A new max operator on finite universes," The Fifth National Conference on Fuzzy Theory and Applications, 1997, pp. 117-122.
  • 50. T. P. Hong and C. Y. Lee, "Determining appropriate merging order to improve fuzzy induction performance," The 1997 Fifth National Conference on Fuzzy Theory and Applications, 1997, pp. 303-308.
  • 51. T. P. Hong and T. N. Chuang, "Scheduling tasks of fuzzy processing time," National Computer Symposium, 1997, pp. A121-A126.
  • 52. C. H. Wang, T. P. Hong and S. S. Tseng, "Genetic knowledge-integration strategies," National Computer Symposium, 1997, A143-A147.
  • 53. K. Y. Huang, T. P. Hong and W. Y. Lin, "A study on applying genetic algorithms to game search trees," National Computer Symposium, 1997, A160-A165.
  • 54. T. P. Hong, K. M. Yu and C. M. Huang, "LPT scheduling on fuzzy tasks with triangular membership functions," The Second International Conference on Knowledge-based Intelligent Electronic Systems, 1998, pp. 109-115 (Invited Paper).
  • 55. C. H. Wang, T. P. Hong and S. S. Tseng, "A hybrid genetic knowledge integration strategy," 1998 IEEE International Conference on Evolutionary Computation, 1998, pp. 587-591.
  • 56. T. P. Hong, K. Y. Huang and W. Y. Lin, "A genetic minimax game-playing strategy," 1998 IEEE International Conference on Evolutionary Computation, 1998, pp. 690-694.
  • 57. C. H. Wang, T. P. Hong and S. S. Tseng, "A genetic fuzzy-knowledge integration framework," The Seventh IEEE International Conference on Fuzzy Systems, 1998, pp. 1194-1199.
  • 58. T. P. Hong and J. B. Chen, "Building a concise decision table for fuzzy rule induction," The Seventh IEEE International Conference on Fuzzy Systems, 1998, pp. 997-1002.
  • 59. 洪宗貝,李詠騏和沈如玟, "至淯報關股份有限公司之電腦化," 第三屆台灣本土企業個案發表暨研討會, 下冊, pp. 784-793, 1998, Taiwan.
  • 60. W. C. Chen, W. Y. Lin and T. P. Hong, "Object-oriented data warehouse and its incremental maintenance", The Ninth Workshop on Object-Oriented Technologies and Applications, 1998, pp.139-144, Taiwan.
  • 61. C. H. Wang, T. P. Hong and S. S. Tseng, "Integrating multiple rule sets by genetic algorithms," 1998 IEEE International Conference on Systems, Man, and Cybernetics, Vol. 2, 1998, pp. 1524-1529.
  • 62. P. C. Chieng, B. C. Chien and T. P. Hong, "Measurement of spatial similarity by fuzzy matching," The Fifth International Conference on Soft Computing and Information/Intelligent Systems (IIZUKA'98), 1998, pp. 400-403.
  • 63. T. P. Hong and C. Y. Lee, "Learning fuzzy knowledge from training examples," The Seventh International Conference on Information and Knowledge Management, 1998, pp. 161-166.
  • 64. T. P. Hong and J. B. Chen, "Building a hierarchical representation of membership functions," The 10th IEEE International Conference on Tools with Artificial Intelligence, 1998, pp. 236-241.
  • 65. C. H. Wang, T. P. Hong and S. S. Tseng, "Genetic-fuzzy knowledge-integration strategies," The 10th IEEE International Conference on Tools with Artificial Intelligence, 1998, pp. 250-255.
  • 66. W. C. Chen and T. P. Hong, "A framework of world-wide-web expert systems," The Fourth International Conference on Computer Science and Informatics, 1998, Vol. 3, pp. 201-204.
  • 67. W. C. Chen, T. P. Hong and W. Y. Lin, "View Maintenance in an object-oriented data warehouse," The Fourth International Conference on Computer Science and Informatics, 1998, Vol. 3, pp. 353-356, USA.
  • 68. T. P. Hong and J. J. Lee, "Parallel neural learning by iteratively adjusting error thresholds," The 1998 International Conference on Parallel and Distributed Systems, 1998, pp. 107-111.
  • 69. T. P. Hong, K. H. Yang and W. C. Chen, "Applying fuzzy concepts to flexible flow shops with two machine centers," 第六屆模糊理論及其應用會議, 1998.
  • 70. T. P. Hong and T. T. Wang, "Solving fuzzy flexible flow-shop problems based on fuzzy Gupta scheduling," The 25th International Conference on Computers & Industrial Engineering, 1999, pp. 153-156.
  • 71. T. P. Hong and T. T. Wang, "A new fuzzy flexible flow-shop algorithm for continuous fuzzy domain," The Twelfth International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems, 1999.
  • 72. 郭展盛,洪宗貝和紀勝財, "數量化資料模糊挖掘模式之研究," 88年度全國管理碩士論文獎暨研討會, 1999.
  • 73. W. C. Chen, T. P. Hong and W. Y. Lin, "View maintenance of object-oriented data warehousing using the composite model," The Fifth International Conference on Information Systems, Analysis, and Synthesis (ISAS), 1999, Vol. 2, pp. 302-306, USA.
  • 74. T. P. Hong, C. S. Kuo and S. C. Chi, "A data mining algorithm for transaction data with quantitative values," The Eighth International Fuzzy Systems Association World Congress, 1999, pp. 874-878.
  • 75. T. P. Hong, C. Y. Lee and C. Y. Wang, "Learning fuzzy if-then rules and membership functions in noisy environments", The Eighth International Fuzzy Systems Association World Congress, 1999, pp. 792-796.
  • 76. T. P. Hong and T. T. Wang, "Fuzzy flexible flow shops on more than two machine centers," The Eighth International Fuzzy Systems Association World Congress, 1999, pp. 685-689.
  • 77. T. P. Hong, H. S. Wang and W. C. Chen, "Simultaneously applying multiple crossover and mutation operators," The Genetic and Evolutionary Computation Conference (A Joint Meeting of the Eighth International Conference on Genetic Algorithms and the Fourth Annual Genetic Programming Conference), 1999.
  • 78. T. P. Hong and T. T. Wang, "A heuristic Palmer-based fuzzy flexible flow-shop scheduling algorithm," The Eighth International Conference on Fuzzy Systems, 1999, pp. 1493-1497.
  • 79. T. P. Hong, C. S. Kuo and S. C. Chi, "A fuzzy data mining algorithm for quantitative values," The Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, 1999, pp. 480-483.
  • 80. W. C. Chen, T. P. Hong and W. Y. Lin, "A composite data model in object-oriented data warehousing," The 31st International Conference on Technology of Object-Oriented Languages and Systems, 1999, pp. 400-405, China.
  • 81. W. C. Chen, T. P. Hong and W. Y. Lin, "View Maintenance Algorithms for Multi-Source Object-Oriented Data Warehousing," The Tenth Workshop on Object-Oriented Technologies and Applications, 1999, pp. 172-177, Taiwan.
  • 82. T. P. Hong, C. S. Kuo and S. C. Chi, "Mining Fuzzy Sequential Patterns from Quantitative Data," The 1999 IEEE International Conference on Systems, Man, and Cybernetics, Vol. 3, 1999, pp. 962-966.
  • 83. W. C. Chen, T. P. Hong and W. Y. Lin, "Using the compressed data model in object-oriented data warehousing," The 1999 IEEE International Conference on Systems, Man, and Cybernetics, Vol. 5, 1999, pp. 768-772.
  • 84. T. P. Hong and S. L. Wang, "Integrating multiple knowledge sources using decision tables," The 1999 IEEE International Conference on Systems, Man, and Cybernetics, Vol. 2, 1999, pp. 142-147.
  • 85. T. P. Hong, M. W. Tsai and B. C. Chien, "A probabilistic mining method for finding association rules," The Fourth Conference on Artificial Intelligence and Applications, 1999, pp. 141-145.
  • 86. 洪宗貝和蔡毓娟, "訊息平台上公文管理系統之設計,"第五屆資訊管理研究暨實務研討會, 1999, pp. 293-300.
  • 87. T. P. Hong, T. T. Wang and S. L. Wang, "A rough-fuzzy mining method for quantitative data,"第五屆資訊管理研究暨實務研討會, 1999, pp. 233-238.
  • 88. 洪宗貝, 蔡毓娟, 陳威州, 廖德宗, 黃重城, "國立高雄大學地理資訊系統之建置,"中華地理資訊學會年會暨學術研討會, 1999.
  • 89. 陳威州, 洪宗貝, 林文揚 "可自動維護之物件導向地理資訊倉儲架構,"中華地理資訊學會年會暨學術研討會, 1999.
  • 90. 洪宗貝, 溫添成, 游坤明, 王慶堯, "模擬退火於單頻道廣播傳輸架構之平行化," National Computer Symposium, Vol. 2, pp. 68-73, 1999, Taiwan.
  • 91. W. C. Chen, T. P. Hong and W. Y. Lin, "Object-oriented data warehousing from multiple sources," National Computer Symposium (NCS), Vol. 1, pp. 258-262, 1999, Taiwan.
  • 92. W. C. Chen, T. P. Hong and W. Y. Lin, "View update in object-oriented data warehousing using uncompressed data model," The Fourth World Conference on Integrated Design & Process Technology, 1999, Turkey.
  • 93. T. P. Hong, C. S. Kuo, S. C. Chi and S. L. Wang, "Mining fuzzy rules from quantitative data based on the AprioriTid algorithm," The 2000 ACM Symposium on Applied Computing, 2000, pp. 534-536.
  • 94. S. L. Wang, J. S. Tsai and T. P. Hong, "Mining functional dependencies from fuzzy relational databases," The 2000 ACM Symposium on Applied Computing, 2000, pp. 490-493.
  • 95. T. P. Hong, T. T. Wang, S. L. Wang and B. C. Chien, "Learning maximally general fuzzy rules from rough sets," 銘傳大學展望新世紀國際學術研討會, 資訊組論文集, 2000, pp. 1-12 (Invited Paper).
  • 96. T. P. Hong, T. T. Wang and S. L. Wang, "Palmer-based flexible flow-shop scheduling for continuous fuzzy domains," The Ninth IEEE International Conference on Fuzzy Systems, 2000, pp. 363-368.
  • 97. S. L. Wang and T. P. Hong, "Mining approximate dependency to answer null queries on similarity-based fuzzy relational databases," The Ninth IEEE International Conference on Fuzzy Systems, 2000, pp. 615-620 (Invited Paper).
  • 98. 洪宗貝,曾安志,丘文源,張簡煜庭,張宏嘉和葉文貴, "IC卡與校園資訊系統之整合架構,"第四屆資訊管理學術暨警政資訊實務研討會, 2000, pp. 229-236.
  • 99. T. P. Hong, T. T. Wang and S. L. Wang, "Mining from quantitative data based on the variable precision rough set model", The Eleventh International Conference on Information Management, 2000.
  • 100. T. P. Hong, T. T. Wang and B. C. Chien, "Learning maximally general rules from examples", The Eleventh International Conference on Information Management, 2000.
  • 101. 洪宗貝,王姿婷和王慶堯, "擴展CDS排程演算法以解決彈性流程問題,"第二屆亞太管理學術研討會, 2000, pp. VB4.1 - 5.
  • 102. T. P. Hong and T. T. Wang, "Learning maximally general -certain and -possible rules", The Joint Meeting of the 4th World Multiconference on Systemics, Cybernetics and Informatics (SCI2000) and the 6th International Conference on Information Systems Analysis and Synthesis (ISAS2000).
  • 103. T. P. Hong, C. Y. Wang and Y. H. Tao, "Incremental data mining based on two support thresholds," The Fourth International Conference on Knowledge-Based Intelligent Engineering Systems & Allied Technologies, 2000, pp. 436-439 (Invited Paper).
  • 104. T. P. Hong and T. T. Wang, "Solving flexible flow-shop problems by extending the palmer algorithm", The 27th International Conference on Computer & Industrial Engineering, 2000.
  • 105. T. P. Hong, K. Y. Huang and W. Y. Lin, "A genetic search method for multi-player game playing," The 2000 IEEE International Conference on Systems, Man, and Cybernetics, 2000, pp. 3858-3861.
  • 106. S. L. Wang, J. W. Shen and T. P. Hong, "Mining fuzzy functional dependence from quantitative data," The 2000 IEEE International Conference on Systems, Man, and Cybernetics, 2000, pp. 3600-3605.
  • 107. T. P. Hong, C. L. Wang and S. L. Wang, "A heuristic Gupta-based flexible flow-shop scheduling algorithm", The 2000 IEEE International Conference on Systems, Man, and Cybernetics, 2000, pp. 319-322.
  • 108. 趙志宏和洪宗貝,"應用RIP於上下游單位路由交換之問題及解決之道", 2000年台灣區網際網路研討會,2000, pp. 1042-1047.
  • 109. 劉禮斌,呂昭賢,李詠騏和洪宗貝,"一個深具展覽彈性之虛擬博物館架構設計", 2000年台灣區網際網路研討會,2000, pp. 500-504.
  • 110. 洪宗貝,王乾隆和葉佳炫, "應用灰色理論於財務時間序列變動性之分析", 2000年灰色系統理論與應用研討會, 2000, pp. 169-174.
  • 111. 李文淵,林文揚和洪宗貝, "多族群遺傳演算法中初始子族群分佈之研究---以一人遊戲樹為例", The Fifth Conference on Artificial Intelligence and Applications, 2000, pp. 562-569.
  • 112. T. P. Hong and K. Y. Lin, "Fuzzy data mining using taxonomy," The 2000 Eighth National Conference on Fuzzy Theory and Its Applications, 2000.
  • 113. S. L. Wang, J. W. Shen and T. P. Hong, "Discovering functional dependencies incrementally from fuzzy relational databases", The 2000 Eighth National Conference on Fuzzy Theory and Its Applications, 2000.
  • 114. T. P. Hong and C. Y. Wang, "A novel mining algorithm for deletion",第六屆資訊管理研究暨實務研討會, 2000.
  • 115. 劉禮斌,呂昭賢,李詠騏和洪宗貝,"虛擬博物館架構之資料流程設計",第六屆資訊管理研究暨實務研討會, 2000.
  • 116. T. P. Hong and C. Y. Wang, "Maintenance of association rules in data mining," The 2000 International Computer Symposium, 2000, pp. 51-56.
  • 117. T. P. Hong, K. Y. Lin and S. L. Wang, "Mining generalized association rules from quantitative data", The International Workshop on Intelligent Systems Resolutions in The Eighth Bellman Continuum, 2000, pp. 75-78 (Invited Paper).
  • 118. T. P. Hong and T. T. Wang, "Continuous fuzzy CDS-based flexible flow-shops", The Fifth Annual International Conference on Industrial Engineering - Theory, Applications and Practice, 2000.
  • 119. 蘇家輝, 洪宗貝, 杜敏世和李會珍, "獎卿大台北居家護理所資訊管理系統之建置,"第四屆企業經營管理個案研討會, 2001, pp. 895-900.
  • 120. 羅偉碩,王學亮和洪宗貝, "資料採礦在供應鏈管理中的應用",中華決策科學學會2001年年會暨論文研討會,2001, pp. 173-178.
  • 121. T. P. Hong and C. Y. Wang, "Reducing the number of rescanning databases in rule maintenance," The Joint Conference on Intelligent Agents, Web Technologies and Internet Commerce & on Computational Intelligence for Modelling, Control and Automation, 2001, pp. 426-433.
  • 122. B. C. Chien, Z. L. Lin and T. P. Hong, "An efficient clustering algorithm for mining fuzzy quantitative association rules," The Ninth International Fuzzy Systems Association World Congress, 2001, pp. 1306-1311.
  • 123. T. P. Hong, K. Y. Lin and S. L. Wang, "Mining fuzzy sequential patterns from multiple-item transactions," The Ninth International Fuzzy Systems Association World Congress, 2001, pp. 1317-1321.
  • 124. S. L. Wang, J. W. Shen and T. P. Hong, "Incremental discovery of functional dependencies using partitions", The Ninth International Fuzzy Systems Association World Congress (IFSA), 2001, pp. 1322-1326.
  • 125. T. P. Hong, K. Y. Lin and C. Y. Wang, "A mining algorithm for all possible fuzzy multiple-level rules," The Fifth World Multiconference on Systemics, Cybernetics and Informatics, Vol. 11, 2001, pp. 438-442.
  • 126. T. P. Hong, C. Y. Wang and S. S. Tseng, "Incremental data mining for sequential patterns using pre-large sequences," The Fifth World Multiconference on Systemics, Cybernetics and Informatics, Vol. 14, 2001, pp. 543-548.
  • 127. S. L. Wang, C. Y. Kuo and T. P. Hong, "Mining similar association rules from transaction databases", The Fifth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2001, pp. 486-489.
  • 128. T. P. Hong, K. Y. Lin and S. L. Wang, "Web mining for browsing patterns", The Fifth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2001, pp. 495-499.
  • 129. S. L. Wang, Y. C. Chen and T. P. Hong, "Data mining of inclusion dependency from relational database", The Fifth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2001, pp. 505-509.
  • 130. C. Y. Wang, T. P. Hong and S. S. Tseng, "A pattern-maintenance algorithm for record deletion in temporal transaction databases," The Sixth Conference on Artificial Intelligence and Applications, 2001.
  • 131. W. Y. Lin, W. Y. Lee and T. P. Hong, "Adapting crossover and mutation rates in genetic algorithms", The Sixth Conference on Artificial Intelligence and Applications, 2001.
  • 132. T. P. Hong, Y. C. Lee and W. Y. Lin, "Fuzzy rule refinement", The Ninth National Conference on Fuzzy Theory and Its Applications, 2001, pp. 477-481.
  • 133. T. P. Hong, K. Y. Lin and S. L. Wang, "Mining fuzzy generalized association rules from quantitative data under fuzzy taxonomic structures", The Ninth National Conference on Fuzzy Theory and Its Applications, 2001, pp. 618-623.
  • 134. S. L. Wang, C. Y. Kuo and T. P. Hong, "Mining similar sequential patterns from transaction databases", The Ninth National Conference on Fuzzy Theory and Its Applications, 2001, pp. 624-628.
  • 135. S. L. Wang, J. W. Shen, T. P. Hong and C. H. Chang, "Incremental discovery of functional dependencies from similarity-based fuzzy relational databases using partitions", The Ninth National Conference on Fuzzy Theory and Its Applications, 2001, pp. 629-636.
  • 136. T. P. Hong and Y. C. Lee, "Mining coverage-based fuzzy rules by evolutional computation," The 2001 IEEE International Conference on Data Mining (ICDM), 2001, pp. 218-224.
  • 137. C. Y. Wang, T. P. Hong and S. S. Tseng, "Maintenance of sequential patterns for record deletion," The 2001 IEEE International Conference on Data Mining (ICDM), 2001, pp. 536-541.
  • 138. T. P. Hong, C. S. Kuo and S. L. Wang, "A fuzzy AprioriTid mining algorithm with reduced computational time," The Tenth IEEE International Conference on Fuzzy Systems, 2001, pp. 360-363.
  • 139. T. P. Hong, T. T. Wang and B. C. Chien, "Learning approximate fuzzy rules from training examples", The Tenth IEEE International Conference on Fuzzy Systems, 2001, pp. 256-259.
  • 140. 李俊傑, 許成之和洪宗貝, "整合角色和工作為基礎的動態存取控制架構研究", 2002電子商務與數位生活研討會, 2002.
  • 141. 洪宗貝, 吳有龍, 姚政佑, 鄭國宏, 王榮志, 侯坤志, 王建清, 顏良安和楊宗龍, "XML架構下的線上多媒體電子病歷建構", 2002電子商務與數位生活研討會, 2002.
  • 142. T. P. Hong, K. Y. Lin and S. L. Wang, "Mining a complete set of interesting generalized fuzzy association rules", The Workshop: Toward the Foundation of Data Mining, in The Sixth Pacific Asia Conference on Knowledge Discovery and Data Mining, 2002 (Invited Paper).
  • 143. J. Y. Lin, B. C. Chien and T. P. Hong, "A function-based classifier learning scheme using genetic programming", The Sixth Pacific Asia Conference on Knowledge Discovery and Data Mining, pp. 92-103, 2002.
  • 144. T. P. Hong, L. H. Tseng and B. C. Chien, "Learning fuzzy rules from incomplete quantitative data by rough sets", The Eleventh IEEE International Conference on Fuzzy Systems, pp. 1438-1441, 2002.
  • 145. T. P. Hong, M. J. Chiang and S. L. Wang, "Mining from quantitative data with linguistic minimum supports and confidences", The Eleventh IEEE International Conference on Fuzzy Systems, pp. 494-499, 2002.
  • 146. S. L. Wang, Y. C. Chen and T. P. Hong, “Searching of inclusion dependencies in relational databases”, The Thirteenth International Conference on Information Management, Vol. 1, 2002, 693-700.
  • 147. T. P. Hong, L. H. Tseng and S. L. Wang, "Mining classification knowledge from incomplete data", The Thirteenth International Conference on Information Management, Vol. 2, 2002, 481-488.
  • 148. 洪宗貝和李詠騏, "模糊理論於機器學習和資料挖掘之應用", 陸軍軍官學校七十八週年校慶綜合學術研討會, 2002 (Invited Paper).
  • 149. S. L. Wang, T. P. Hong and M. J. Chiang, "Mining weighted linguistic association rules", The Ninth International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2002.
  • 150. Y. H. Tao, S. I. Sun and T. P. Hong, "XML implementation process model in enterprise applications - an MES example", The Seventh Asia-Pacific Decision Sciences Institute Conference, 2002.
  • 151. S. L. Wang, C. Y. Kuo and T. P. Hong, "Mining fuzzy similar association rules from quantitative data", The Twenty-first North American Fuzzy Information Processing Society International Conference (NAFIPS), 2002.
  • 152. Y. H. Tao, Y. M. Su and T. P. Hong, "Web transaction mining with intentional behaviour", The Sixth International Conference on Knowledge-Based Intelligent Information & Engineering Systems, 2002, pp. 668-672.
  • 153. S. L. Wang, W. S. Lo and T. P. Hong, "Discovery of cross-level sequential patterns from transaction databases", The Sixth International Conference on Knowledge-Based Intelligent Information & Engineering Systems, 2002, 683-687.
  • 154. T. P. Hong, M. J. Chiang and S. L. Wang, "Mining weighted browsing patterns with linguistic minimum supports", The 2002 IEEE International Conference on Systems, Man, and Cybernetics, 2002 (Invited Paper).
  • 155. W. Y. Lin, W. Y. Lee and T. P. Hong, "On self-adaptive multi-population genetic algorithms," The 2002 IEEE International Conference on Systems, Man, and Cybernetics, 2002.
  • 156. S. L. Wang, C. Y. Kuo and T. P. Hong, "Mining fuzzy similar sequential patterns from quantitative data", The 2002 IEEE International Conference on Systems, Man, and Cybernetics, 2002.
  • 157. T. P. Hong, C. Y. Horng and S. L. Wang, "Improving data mining efficiency by predictive itemsets," The Seventh Conference on Artificial Intelligence and Applications, 2002, pp. 273-278.
  • 158. T. P. Hong, K. Y. Lin and S. L. Wang, "Mining a complete set of linguistic browsing patterns", 第八屆國際資訊管理研究暨實務研討會, 2002, pp. 547-552.
  • 159. S. L. Wang, W. S. Lo and T. P. Hong, "Discovery of fuzzy multiple-level web browsing patterns", The 2002 International Conference on Fuzzy Systems and Knowledge Discovery, 2002, pp. 636-640.
  • 160. T. P. Hong, M. J. Chiang and S. L. Wang, "Mining fuzzy weighted browsing patterns from time durations", The Tenth National Conference on Fuzzy Theory and Its Applications, 2002, pp. C1_06-11.
  • 161. W. S. Lo, S. L. Wang and T. P. Hong, "Discovery of fuzzy multiple-level sequential patterns from transaction databases", The Tenth National Conference on Fuzzy Theory and Its Applications, 2002, pp. C1_01-05.
  • 162. C. Y. Wang, T. P. Hong and S. S. Tseng, "Maintenance of sequential patterns for record modification using pre-large sequences," The 2002 IEEE International Conference on Data Mining (ICDM), 2002, pp. 693-696.
  • 163. Y. C. Lee, T. P. Hong and W. Y. Lin, "Mining association rules with multiple minimum supports using maximum constraints," The Workshop on the Foundation of Data Mining and Discovery in The 2002 IEEE International Conference on Data Mining, 2002, pp. 171-175. Also in The National Computer Symposium, 2003, pp. 1999-2004.
  • 164. T. P. Hong, K. Y. Lin and B. C. Chien, "A mining algorithm under fuzzy taxonomic structures", The Second International Conference on Electronic Business, 2002, pp. 403-405.
  • 165. B. C. Chien, J. H. Yang and T. P. Hong, "A classifier learning scheme based on rough membership and genetic programming", The Workshop on Artificial Intelligence in the 2002 International Computer Symposium, 2002.
  • 166. C. Y. Wang, T. P. Hong and S. S. Tseng, "Maintenance of discovered sequential patterns for record modification," The Workshop on Artificial Intelligence in the 2002 International Computer Symposium, 2002.
  • 167. T. P. Hong, C. E. Lin, J. H. Lin and S. L. Wang, "A hybrid learning algorithm based on rough sets and rule specialization," The 2003 Symposium on Application and Development of Information Technologies (2003資訊技術應用與發展研討會), 2003, pp. 68-74.
  • 168. S. L. Wang, W. S. Lo and T. P. Hong, "Top-down discovery of generalized web browsing patterns," The Fourteenth International Conference on Information Management, 2003, pp. 1161-1167.
  • 169. W. S. Lo, T. P. Hong, S. L. Wang and Y. H. Tao, "Semantic web and multiple- agents in supply chain management," International Conference on Electronic Business Management, 2003.
  • 170. Y. H. Tao, T. P. Hong and Y. M. Su, "Effective web usage mining with intentional browsing data," The Seventh International Conference of the Decision Sciences Institute, 2003.
  • 171. S. L. Wang, W. S. Lo and T. P. Hong, "Mining of generalized web browsing patterns," The Seventh World Multiconference on Systemics, Cybernetics and Informatics, Vol. 2, 2003, pp. 267-271.
  • 172. T. P. Hong, S. P. Wang, T. C. Wang and B. C. Chien, "Two-layer linguistic spatial query processing," The Seventh World Multiconference on Systemics, Cybernetics and Informatics, Vol. 5, 2003, pp. 117-121.
  • 173. T. P. Hong, C. E. Lin, J. H. Lin and S. L. Wang, "Learning from hierarchical attribute values by rough sets," The Third International Conference on Intelligent Systems Design and Applications, 2003, pp. 559-568.
  • 174. S. L. Wang, W. C. Tsou, J. H. Lin and T. P. Hong, "Maintenance of discovered functional dependencies: incremental deletion," The Third International Conference on Intelligent Systems Design and Applications, 2003, pp. 579-588.
  • 175. T. P. Hong, S. P. Wang, T. C. Wang and B. C. Chien, "A fuzzy image matching algorithm with linguistic spatial queries," The Third WSEAS International Conference on Information Science and Applications, 2003.
  • 176. S. L. Wang, M. H. Wang, W. Y. Lin and T. P. Hong, "Efficient generation of adaptive-support association rules," The 2003 IEEE International Conference on Systems, Man, and Cybernetics, 2003, pp. 894-899.
  • 177. S. L. Wang, K. W. Huang, T. C. Wang and T. P. Hong, "Maintenance of discovered informative rule sets: incremental insertion," The 2003 IEEE International Conference on Systems, Man, and Cybernetics, 2003, pp. 2394-2399.
  • 178. T. P. Hong, C. E. Lin, J. H. Lin and S. L. Wang, "Learning a coverage set of multiple-level certain and possible rules by rough sets," The 2003 IEEE International Conference on Systems, Man, and Cybernetics, 2003, pp. 2605-2610.
  • 179. W. S. Lo, T. P. Hong and S. L. Wang, "A top-down fuzzy cross-level web-mining approach," The 2003 IEEE International Conference on Systems, Man, and Cybernetics, 2003, pp. 2684-2689.
  • 180. C. Y. Wang, T. P. Hong and S. S. Tseng, "Multidimensional on-line mining," The Workshop on Foundation and New Directions in Data Mining in The Third IEEE International Conference on Data Mining, 2003, pp. 196-202.
  • 181. T. P. Hong, T. J. Huang and C. S. Chang, "Maintenance of multiple-level association rules based on pre-large concepts", 2003 The Joint Conference on AI, Fuzzy System, and Grey System, 2003.
  • 182. T. P. Hong, C. H. Chen, Y. L. Wu and Y. C. Lee, "Mining membership functions and fuzzy association rules", 2003 The Joint Conference on AI, Fuzzy System, and Grey System, 2003.
  • 183. 洪宗貝, 張文昌, 李詠騏和林建宏, "擴充PCP模式於關聯式規則之知識整合", 2003 The Joint Conference on AI, Fuzzy System, and Grey System, 2003.
  • 184. 王乾隆, 洪國寶, 洪宗貝, 林宸堂和邱簡謙, "利用灰預測GM(1,1)平移模組預測分散式阻斷服務攻擊", 2003 The Joint Conference on AI, Fuzzy System, and Grey System, 2003.
  • 185. 洪國寶, 王乾隆, 洪宗貝和黃珮瑩, "擴展PT排程演算法以解決彈性流程問題”, 2003 The Joint Conference on AI, Fuzzy System, and Grey System, 2003.
  • 186. T. P. Hong, S. P. Wang, T. C. Wang and B. C. Chien, "Mining spatial association rules from image databases," The 2003 International Conference on Informatics, Cybernetics and Systems (ICICS), 2003, pp. 1012-1017.
  • 187. T. P. Hong, T. J. Huang and C. S. Chang, "Maintenance of multiple-level association rules for deletion of records", The 2003 International Conference on Informatics, Cybernetics and Systems (ICICS), 2003, pp. 1806-1811, Taiwan.
  • 188. W. Y. Lin, W. Y. Lee and T. P. Hong, "A self-adaptive multi-population genetic algorithm", The 2003 International Conference on Informatics, Cybernetics and Systems (ICICS), 2003, pp. 1830-1835, Taiwan.
  • 189. T. P. Hong, G. Horng, P. Y. Huang and C. L. Wang, "Solving flexible flow-shop problems by LPT and LN scheduling algorithms", The 2003 International Conference on Informatics, Cybernetics and Systems (ICICS), 2003, pp. 1848-1853, Taiwan.
  • 190. Y. H. Tao, T. P. Hong and Y. M. Su, "Improving browsing time estimation with intentional behavior data," The 2003 International Conference on Informatics, Cybernetics and Systems (ICICS), 2003, pp. 1854-1858, Taiwan.
  • 191. W. Y. Lin, W. Y. Lee and T. P. Hong, "Evolution of appropriate crossover and mutation operators for multi-population genetic algorithms," The Second International Conference on Computational Intelligence, Robotics and Autonomous Systems, 2003.
  • 192. T. P. Hong, P. Y. Huang and G. Horng, "Two group flexible flow-shop scheduling algorithms for two machine centers", The Thirty-Third International Conference on Computers and Industrial Engineering, 2004.
  • 193. T. P. Hong, T. J. Huang and C. S. Chang, "Maintenance of generalized association rules based on pre-large concepts", The Sixth WSEAS International Conference on Algorithms, Scientific Computing, Modelling and Simulation, 2004.
  • 194. T. P. Hong, P. Y. Huang and G. Horng, "Combining the LPT and the Gupta approaches to solve group flexible flow-shop problems", The Fifteenth International Conference on Information Management, 2004.
  • 195. W. Y. Chiu, Y. H. Tao, T. P. Hong and W. Y. Lin, A unified web transaction mining with fuzzy intentional browsing data, The Fifteenth International Conference on Information Management, 2004.
  • 196. W. Y. Chiu, Y. H. Tao, T. P. Hong and W. Y. Lin, "A unified intentional-based web transaction mining," The Eighth World Multiconference on Systemics, Cybernetics and Informatics, 2004.
  • 197. T. P. Hong, C. H. Chen, Y. L. Wu and Y. C. Lee, "Using divide-and-conquer GA strategy in fuzzy data mining", The Ninth IEEE Symposium on Computers and Communications, Vol. 1, pp. 116-121, 2004.
  • 198. T. P. Hong, W. C. Chang and J. H. Lin, "A two-phased ontology selection approach for semantic web", The First Workshop on Intelligent Web Technologies, 2004, pp. 1-6. Also in The Ninth International Conference on Knowledge-Based Intelligent Information and Engineering Systems, 2005.
  • 199. Y. C. Lee, T. P. Hong and W. Y. Lin, "Mining fuzzy association rules with multiple minimum supports using maximum constraints", The Eighth International Conference on Knowledge-Based Intelligent Information and Engineering Systems, 2004, Part 2, pp. 1283-1290.
  • 200. T. P. Hong, P. Y. Huang and G. Horng, "A heuristic scheduling algorithm for group flexible flow-shops", The Fourteenth International Conference on Flexible Automation & Intelligent Manufacturing, 2004, pp. 711-718.
  • 201. W. S. Lo, S. L. Wang and T. P. Hong, "A bottom up discovery of generalized web browsing patterns", The Eighth WSEAS International Conference on Computers, 2004.
  • 202. T. P. Hong, T. J. Huang and C. S. Chang, "Maintenance of multiple-level association rules for record modification", The 2004 IEEE International Conference on Systems, Man, and Cybernetics, 2004, pp. 3140-3145 (Invited Paper).
  • 203. T. P. Hong, L. H. Tseng and B. C. Chien, "Learning coverage rules from incomplete data based on rough sets," The 2004 IEEE International Conference on Systems, Man, and Cybernetics, 2004, pp. 3226-3231 (Invited Paper).
  • 204. S. L. Wang, M. H. Wang, W. Y. Lin and T. P. Hong, "Adjustable discovery of adaptive-support association rules for collaborative recommendation systems," The 2004 IEEE International Conference on Systems, Man, and Cybernetics, 2004, pp. 3250-3254.
  • 205. W. Y. Lin, T. P. Hong and S. M. Liu, "On adapting migration parameters for multi-population genetic algorithms", The 2004 IEEE International Conference on Systems, Man, and Cybernetics, 2004, pp. 5731-5735 (Invited Paper).
  • 206. W. Y. Chiu, Y. H. Tao, T. P. Hong and W. Y. Lin, "Web transaction mining: toward a unified view on intentional browsing data," The 35th Annual Meeting of the Decision Sciences Institute, 2004.
  • 207. P. Y. Huang, T. P. Hong, G. Horng and C. Y. Kao, "Extending the Palmer algorithm to solve group flexible flow-shop problems", The Thirtieth Annual Conference of the IEEE Industrial Electronics Society, 2004.
  • 208. T. P. Hong, C. H. Chen, Y. L. Wu and S. M. Tseng, "Finding active membership functions in fuzzy data mining", The Workshop on Foundations of Data Mining in The Fourth IEEE International Conference on Data Mining, 2004.
  • 209. 郭展盛,洪宗貝和陳春龍, "以遺傳規劃為基礎的知識整合架構", The Ninth Conference on Artificial Intelligence and Applications, 2004.
  • 210. T. P. Hong, P. Y. Huang, G. Horng and C. L. Wang, "Two flexible flow-shop scheduling algorithms based on dynamic-programming technique", The Ninth Conference on Artificial Intelligence and Applications, 2004.
  • 211. W. S. Lo, T. P. Hong, S. L. Wang and M. H. Wei, "Fuzzy project scheduling in RCPS problems", The Twelfth National Conference on Fuzzy Theory and Its Applications, 2004.
  • 212. T. P. Hong, C. H. Chen, Y. L. Wu and Y. C. Lee, "Mining membership functions and fuzzy association rules using genetic algorithms", The Twelfth National Conference on Fuzzy Theory and Its Applications, 2004.
  • 213. C. Y. Wang, S. S. Tseng, T. P. Hong and Y. S. Chu, "Using extended multidimensional pattern relation for multidimensional on-line mining", The 2004 International Computer Symposium, 2004.
  • 214. C. Y. Wang, S. S. Tseng, T. P. Hong and Y. S. Chu, "A three-phased online association rule mining approach for diverse mining requests", The Fourth International Conference on Electronic Business, 2004.
  • 215. W. Y. Lin, T. P. Hong and S. M. Liu, "Evolution of appropriate migration rate and migration interval in multi-population genetic algorithms", The Seventeenth IMACS World Congress on Scientific Computation, Applied Mathematics and Simulation, 2005.
  • 216. C. H. Chen, T. P. Hong and V. S. M. Tseng, “Analyzing time-series data by fuzzy data-mining technique", The 2005 IEEE International Conference on Granular Computing, Vol. 1, pp. 112-117, 2005.
  • 217. T. P. Hong, C. M. Huang and S. J. Horng, “Mining linguistic mobility patterns for wireless networks", The Ninth International Conference on Knowledge-Based Intelligent Information and Engineering Systems, 2005.
  • 218. T. P. Hong, Y. C. Lee and M. T. Wu, "Using master-slave parallel architecture for GA-fuzzy data mining,” The 2005 IEEE International Conference on Systems, Man, and Cybernetics, pp. 3232-3237, 2005.
  • 219. S. L. Wang, K. W. Huang, T. C. Wang and T. P. Hong, "Maintenance of discovered informative rule sets: incremental deletion," The 2005 IEEE International Conference on Systems, Man, and Cybernetics, pp. 170-175, 2005.
  • 220. C. M. Huang, T. P. Hong and S. J. Horng, “Discovering fuzzy personal moving profiles in wireless networks", The Thirteenth National Conference on Fuzzy Theory and Its Applications, 2005.
  • 221. C. H. Chen, T. P. Hong and V. S. M. Tseng, "Mining linguistic trends from time series", The Workshop on Foundations of Semantic Oriented Data and Web Mining in The Fifth IEEE International Conference on Data Mining, 2005.
  • 222. 洪宗貝, 謝文家和謝朝和, "在個人通訊服務網路中報告型細胞之啟發式規劃", The Tenth Conference on Artificial Intelligence and Applications, 2005.
  • 223. T. P. Hong, W. Y. Lin, S. M. Liu and J. H. Lin, "Dynamically adjusting migration rates for multi-population genetic algorithms", The Tenth Conference on Artificial Intelligence and Applications, 2005.
  • 224. T. P. Hong, P. Y. Huang, G. Horng and C. Y. Kao, "Solving group flexible flow-shop problems by the PT algorithm", The Eighth WSEAS International Conference on Applied Mathematics, pp. 170-176, 2005.
  • 225. 洪宗貝, 侯名謙和吳有龍, "應用於醫療作業之改良式射頻無線辨識系統架構", The 2005 National Computer Symposium, 2005.
  • 226. W. S. Lo, T. P. Hong and H. J. Hsu, "A case study for global supply chain management in Vietnam", The International Conference on Logistics and Supply Chain Management, 2006.
  • 227. W. S. Lo, T. P. Hong and J. P. Liu "Using data mining technology for reduction of customer attrition in supply chain management and quick response systems", The International Conference on Logistics and Supply Chain Management, 2006.
  • 228. P. Y. Huang, T. P. Hong and C. Y. Kao, "Single-pass-based heuristic algorithms for group flexible flow-shop scheduling problems", The Eighth WSEAS International Conference on Automatic Control, Modeling and Simulation, pp. 327-333, 2006.
  • 229. C. Y. Wang, S. S. Tseng and T. P. Hong, "Improved negative-border online mining approaches", The Tenth Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 483-492, 2006.
  • 230. C. M. Huang, T. P. Hong and S. J. Horng, “Simultaneously mining inter- and intra-object association rules", The 2006 IEEE International Conference on Granular Computing, pp. 679-682, 2006.
  • 231. C. L. Wang, G. Horng, Y. S. Chen and T. P. Hong, “An efficient key-update scheme for wireless sensor networks", The International Conference on Computational Science, 2006.
  • 232. 李惠方和洪宗貝, "應用RFID技術於取締飆車問題之探討", 2006年第十屆資訊管理學術暨警政資訊實務研討會, pp. 173-181, 2006.
  • 233. T. P. Hong, J. W. Lin and Y. L. Wu, “A fast updated frequent pattern tree for deletion of records", The Seventeenth International Conference on Information Management, pp. 1275-1282, 2006.
  • 234. 洪宗貝, 侯名謙和吳有龍, "應用於病患定位之改良式並行搜尋演算法", The Seventeenth International Conference on Information Management, pp. 1283-1290, 2006.
  • 235. C. M. Huang, T. P. Hong and S. J. Horng, “Linguistic object-oriented web mining", The 2006 North American Fuzzy Information Processing Society International Conference (NAFIPS), 2006.
  • 236. P. Y. Huang, T. P. Hong and C. Y. Kao, "A comparative analysis for PT-based hybrid group flexible flow-shop scheduling approaches", The 36th International Conference on Computers and Industrial Engineering, pp. 544-555, 2006.
  • 237. C. M. Huang, T. P. Hong and S. J. Horng, “Object-oriented web mining", The 36th International Conference on Computers and Industrial Engineering (ICCIE), pp. 5294-5303, 2006, Taiwan.
  • 238. Y. C. Lee, T. P. Hong and T. C. Wang, "Mining multiple-level association rules under the maximum constraint of multiple minimum supports", The Nineteenth International Conference on Industrial & Engineering Applications & Other Applications of Applied Intelligent Systems, 2006.
  • 239. W. S. Lo, T. P. Hong, R. Jeng and J. P. Liu "Using data mining technology in supply chain management", The Fourth International Conference on Supply Chain Management and Information Systems (SCMIS), pp.916-920, 2006.
  • 240. C. Y. Chen, W. S. Lo, T. P. Hong, C. Y. Chen and H. J. Hsu, "Case study of global supply chain management in small and medium sized enterprise", The Fourth International Conference on Supply Chain Management and Information Systems (SCMIS), pp.967-973, 2006.
  • 241. P. Y. Huang, T. P. Hong and C. Y. Kao, "Multiple-pass-based heuristic algorithms for group flexible flow-shop scheduling problems", The 21st European Conference on Operational Research, 2006.
  • 242. W. S. Lo, S. Z. Lin, T. P. Hong and C. L. Chiang, "Using RFID technology in supply chain management", The International Congress on Logistics and SCM Systems, 2006.
  • 243. C. M. Huang, T. P. Hong and S. J. Horng, “Applying data mining to wireless networks", The Tenth WSEAS International Conference on Communications, 2006.
  • 244. C. H. Chen, T. P. Hong and V. S. M. Tseng, "A less domain-dependent fuzzy mining algorithm for frequent trends", The 2006 IEEE International Conference on Fuzzy Systems, pp.4242-4247, 2006.
  • 245. C. H. Chen, T. P. Hong and V. S. M. Tseng, "A cluster-based fuzzy-genetic mining approach for association rules and membership functions", The 2006 IEEE International Conference on Fuzzy Systems, pp.6971-6976, 2006.
  • 246. T. P. Hong, J. W. Lin and Y. L. Wu, “Maintenance of fast updated frequent pattern trees for record modification", The 2006 International Conference on Innovative Computing, Information and Control, Vol. 1, pp.570-573, 2006.
  • 247. T. P. Hong, J. C. Wang and J. H. Lin, “Implementing an intelligent system of electronic medical records by multiple-agent technique", The Seventeenth Workshop on Object-Oriented Technology and Applications, 2006.
  • 248. C. M. Huang, T. P. Hong and S. J. Horng, “Discovering mobile users’ moving behaviors in wireless networks", The Joint Conference of the Third International Conference on Soft Computing and Intelligent Systems and the Seventh International Symposium on Advanced Intelligent Systems, pp. 567-572, 2006.
  • 249. T. P. Hong and G. N. Shiu, "A PSO-based heuristic algorithm for base-station locations", The Joint Conference of the Third International Conference on Soft Computing and Intelligent Systems and the Seventh International Symposium on Advanced Intelligent Systems, pp. 2141-2146, 2006.
  • 250. T. P. Hong and M. T. Wu, “Genetic algorithms with gene sets", The Joint Conference of the Third International Conference on Soft Computing and Intelligent Systems and the Seventh International Symposium on Advanced Intelligent Systems, pp. 2193-2197, 2006.
  • 251. W. S. Lo, T. P. Hong, R. Jeng and J. P. Liu, "Intelligent agents in supply chain management as an early warning mechanism", The 2006 IEEE International Conference on Systems, Man, and Cybernetics, pp.2161-2166, 2006.
  • 252. T. P. Hong, J. W. Lin and Y. L. Wu, “A fast updated frequent pattern tree", The 2006 IEEE International Conference on Systems, Man, and Cybernetics, pp.2167-2172, 2006.
  • 253. C. M. Huang, T. P. Hong and S. J. Horng, “Simultaneously mining fuzzy inter- and intra-object association rules", The 2006 IEEE International Conference on Systems, Man, and Cybernetics, pp.2778-2783, 2006.
  • 254. P. Y. Huang, T. P. Hong and C. Y. Kao, "Combining single-pass and multiple-pass heuristics for group flexible flow-shop scheduling problems", The 2006 IEEE International Conference on Systems, Man, and Cybernetics, pp. 3901-3906, 2006.
  • 255. Y. C. Lee, T. P. Hong and T. C. Wang, "Mining fuzzy multiple-level association rules under multiple minimum supports", The 2006 IEEE International Conference on Systems, Man, and Cybernetics, pp.4112-4117, 2006.
  • 256. M. W. Tsai, T. P. Hong and T. K. Liu, "Two-dimensional encoding schema and genetic operators", The Fifth International Conference on Computational Intelligence in Economics and Finance, in conjunction with The Ninth Joint Conference on Information Sciences, pp. 190-193, 2006.
  • 257. T. P. Hong, Y. L. Liou and S. L. Wang, “Learning with hierarchical quantitative attributes by fuzzy rough sets", The Eleventh International Conference on Fuzzy Theory and Technology, in conjunction with The Ninth Joint Conference on Information Sciences, pp. 1309-1312, 2006.
  • 258. C. L. Wang, T. P. Hong, G. Horng and W. H. Wang, “A key renewal scheme under the power consumption for wireless sensor networks", The Fourth Symposium on Photonic, Networking and Computing, in conjunction with The Ninth Joint Conference on Information Sciences, pp. 1369-1372, 2006.
  • 259. C. S. Kuo, T. P. Hong and C. L. Chen, “Learning classification trees by genetic programming", The 2006 International Conference on Hybrid Information Technology, 2006.
  • 260. T. P. Hong and Y. C. Lee, “A brief survey of mining fuzzy association rules", The Fourteenth National Conference on Fuzzy Theory and Applications, 2006.
  • 261. 洪宗貝, 王榮志和林建宏, "利用概念網路關連分析於電子病歷語意檢索", The Eleventh Conference on Artificial Intelligence and Applications, 2006.
  • 262. T. P. Hong and G. N. Shiu, "A general PSO algorithm for the K-of-N lifetime problem in wireless sensor networks", The Eleventh Conference on Artificial Intelligence and Applications, 2006.
  • 263. 洪宗貝, 謝文家和謝朝和, "以具備突變運算子的粒子群優演算法規劃報告型細胞位置", The 2006 Multimedia and Networking Systems Conference, 2006.
  • 264. V. S. Tseng, C. H. Chen, C. H. Chen and T. P. Hong, “Segmentation of time series by the clustering and genetic algorithms", The Workshop on Foundations of Data Mining and Novel Techniques in High Dimensional Structural and Unstructured Data in The Sixth IEEE International Conference on Data Mining, 2006.
  • 265. S. L. Wang, R. Maskey, A. Jafari and T. P. Hong, “Efficient sanitization of informative association rules with updates,” The Second International Conference on Information and Automation, 2006.
  • 266. W. S. Lo, P. S. Huang, T. P. Hong, R. Jeng, H. J. Hsu and C. Y. Chen, "Knowledge Management in SCM with institutional perspective", The International Workshop on Institutional View of SCM, 2006.
  • 267. C. H. Chen, T. P. Hong and V. S. M. Tseng, "A comparison of different fitness functions for extracting membership functions used in fuzzy data mining", The IEEE Symposium on Foundations of Computational Intelligence, 2007, Hawaii.
  • 268. C. W. Lin, T. P. Hong and W. H. Lu, “Using the Pre-FUFP algorithm for handling new transactions in incremental mining", The IEEE Symposium on Computational Intelligence and Data Mining, 2007, Hawaii.
  • 269. T. P. Hong and G. N. Shiu, “Allocating multiple base stations under general power consumption by the particle swarm optimization", The IEEE Swarm Intelligence Symposium, 2007, Hawaii.
  • 270. T. P. Hong and T. J. Huang, "Maintenance of generalized association rules for record deletion based on the pre-large concept", The 6th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases (AIKED '07), 2007, Greece.
  • 271. P. Y. Huang, T. P. Hong and C. Y. Kao, "Multiple-passes scheduling for sequence-independent group flexible flow shops", The 17th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM), 2007, USA.
  • 272. C. W. Lin, T. P. Hong, W. H. Lu and C. H. Wu, “Maintenance of fast updated frequent trees for record deletion based on prelarge concepts", The Twentieth International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE), pp. 675-684, 2007, Japan.
  • 273. C. R. Yeh, Y. H. Tao, T. P. Hong, W. Y. Lin, P. C. Chen, C. H. Wu, and C. W. Lin, “Adapting monopoly as an intelligent learning game for teaching dynamic competitive strategy", The 2007 International Conference on Electronic Commerce, Administration, Society, and Education (e-CASE), 2007, Hong Kong.
  • 274. C. H. Chen, T. P. Hong, V. S. M. Tseng and C. S. Lee, "A genetic-fuzzy mining approach for items with multiple minimum supports", The 2007 IEEE International Conference on Fuzzy Systems, pp. 1733-1738, 2007, UK.
  • 275. P. Y. Huang, T. P. Hong and C. Y. Kao, "Four hybrid heuristic algorithms for the group flexible flow-shop problem with sequence-independent setup time", The 24th International Manufacturing Conference (IMC), 2007, Ireland.
  • 276. T. P. Hong and Y. L. Liou, “Attribute clustering in high dimensional feature spaces", The International Conference of Machine Learning and Cybernetics (ICMLC), pp. 2286 - 2289, 2007, Hong Kong.
  • 277. Y. C. Lee, T. P. Hong and T. C. Wang, “Mining generalized association rules from a different perspective", The 4th International Conference on Fuzzy Systems and Knowledge Discovery, 2007, China.
  • 278. T. P. Hong and C. H. Wu, "An improved weighted clustering algorithm for determination of application nodes in heterogeneous sensor networks", The Third Workshop on Wireless, Ad Hoc, and Sensor Networks, pp. 105 - 110, 2007, Taiwan.
  • 279. T. P. Hong, J. S. Dong and W. Y. Lin, "A flexible three-phased object-oriented data mining approach", The Eighteenth Workshop on Object-Oriented Technology and Applications, 2007, Taiwan.
  • 280. C. W. Lin, T. P. Hong and W. H. Lu, “Maintaining the fast updated FP-tree from modified records based on pre-large itemsets", The 2007 International Conference on Innovative Computing, Information and Control (ICICIC), 2007, Japan. (Best Paper Award)
  • 281. C. H. Chen, T. P. Hong and V. S. M. Tseng, "A modified approach to speed up genetic-fuzzy data mining with divide-and-conquer strategy", The IEEE Congress on Evolutionary Computation, pp. 1 - 6, 2007, Singapore.
  • 282. T. P. Hong, W. Y. Lin, S. M. Liu and J. H. Lin, "Experimental analysis of dynamic migration intervals on 0/1 knapsack problems", The IEEE Congress on Evolutionary Computation, pp. 1163 - 1167, 2007, Singapore.
  • 283. T. P. Hong, M. T. Wu, Y. F. Tung and S. L. Wang, "Using escape operations in gene-set genetic algorithms", The 2007 IEEE International Conference on Systems, Man, and Cybernetics, pp. 3907 - 3911, 2007, Canada.
  • 284. T. P. Hong, "On genetic-fuzzy data mining techniques", The 2007 IEEE International Conference on Granular Computing, p. 3, 2007, USA. (keynote speech)
  • 285. T. P. Hong and C. H. Wu, "Allocation of application nodes in heterogeneous sensor networks based on lifetime fitness", The 2007 Workshop on Consumer Electronics and Signal Processing, pp. 151 - 155, 2007, Taiwan.
  • 286. T. P. Hong, J. S. Dong and W. Y. Lin, "Mining three kinds of object-oriented knowledge from web-page transactions", The Twelfth Conference on Artificial Intelligence and Applications, pp. 585 - 590, 2007, Taiwan.
  • 287. C. S. Kuo, T. P. Hong and C. L. Chen, “A knowledge-acquisition strategy based on genetic programming", The 2007 International Conference on Convergence Information Technology, pp. 217 - 221, 2007, Korea.
  • 288. J. P. Huang, G. C. Lan, H. C. Kuo and T. P. Hong, “A decomposition approach for mining frequent itemsets", The Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Vol. 2, pp. 605 - 608, 2007, Taiwan.
  • 289. C. S. Kuo, T. P. Hong and C. L. Chen, “Integrating multiple knowledge sources by genetic programming", The Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Vol. 2, pp. 609 - 612, 2007, Taiwan.
  • 290. Y. C. Lee, T. P. Hong and T. C. Wang, “Mining association rules under different constraints of multiple minimum supports", The Fifteenth National Conference on Fuzzy Theory and Its Applications, pp. 9 - 15, 2007, Taiwan.
  • 291. K. J. Yang, Y. M. Chen and T. P. Hong, “Ontology-based inter-organizational knowledge sharing in collaborative business process environment", The Joint Conference of The Eighth Asia Pacific Industrial Engineering & Management System and The 2007 Chinese Institute of Industrial Engineers Conference & The Tenth Asia Pacific Regional Meeting of International Foundation for Production Research, 2007, Taiwan.
  • 292. W. S. Lo, T. P. Hong, R. Jeng, C. Y. Chen and H. J. Hsu, "Using ontology for supply chain management", The Joint Conference of The Eighth Asia Pacific Industrial Engineering & Management System and The 2007 Chinese Institute of Industrial Engineers Conference & The Tenth Asia Pacific Regional Meeting of International Foundation for Production Research, 2007, Taiwan.
  • 293. S. L. Wang and T. P. Hong, "One-scan sanitization of collaborative recommendation association rules", The 2007 National Computer Symposium, pp. 170 - 176, 2007, Taiwan.
  • 294. C. W. Lin, T. P. Hong and W. H. Lu, “Maintenance of the prelarge trees for record deletion", The Twelfth WSEAS International Conference on Applied Mathematics, pp. 105 - 110, 2007, Egypt.
  • 295. T. P. Hong, "Some techniques and applications in data mining", 2008知識經濟與管理學術研討會, 2008, Taiwan.
  • 296. C. H. Chen, T. P. Hong and V. S. M. Tseng, "A brief survey of genetic-fuzzy data mining techniques", The 2008 International Conference on Advanced Information Technologies, 2008, Taiwan.
  • 297. C. H. Chen, T. P. Hong and V. S. M. Tseng, "A cluster-based genetic-fuzzy mining approach for items with multiple minimum supports", The Twelfth Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 864 - 869, 2008, Japan.
  • 298. S. L. Wang, P. A. Stripe and T. P. Hong, "Modeling optimal security investment of information centers," The Workshop on Data Mining for Decision Making and Risk Management in The Twelfth Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 293 - 304, 2008, Japan.
  • 299. S. L. Wang, J. D. Chen and T. P. Hong, “資訊中心機率型安全塑模與分析”, The International Conference on Information Management (ICIM), 2008, Taiwan.
  • 300. C. H. Chen, T. P. Hong and V. S. M. Tseng, "A divide-and-conquer genetic-fuzzy mining approach for items with multiple minimum supports", The IEEE International Conference on Fuzzy Systems, pp. 1231 - 1235, 2008, Hong Kong.
  • 301. V. S. M. Tseng, C. H. Chen, P. C. Huang and T. P. Hong, "A cluster-based genetic approach for segmentation of time series and pattern discovery", The IEEE Congress on Evolutionary Computation, pp. 1949 - 1953, 2008, Hong Kong.
  • 302. J. H. Lee, C. C. Tuan and T. P. Hong, "Maximum channel reuse with Hopfield neural network-based static cellular radio channel allocation systems", The IEEE International Joint Conference on Neural Networks, pp. 3659 - 3666, 2008, Hong Kong.
  • 303. C. W. Lin, T. P. Hong, W. H. Lu and B. C. Chien, “Incremental mining with prelarge trees", The Thirteenth International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE), pp. 169 - 178, 2008, Poland.
  • 304. C. L. Wang, C. H. Chen, T. P. Hong and G. Horng, “A full connection and less memory usage scheme for distributed sensor networks", The Third International Conference on Innovative Computing, Information and Control, 2008, China.
  • 305. C. W. Lin, T. P. Hong and W. H. Lu, “Mining with prelarge trees for record modification", The Third International Conference on Innovative Computing, Information and Control, 2008, China.
  • 306. 洪宗貝, “Some advances in data mining”, 2008全球商業經營管理學術研討會 (Keynote Speaker), 2008, Taiwan.
  • 307. 洪宗貝,邱菊添,蔡東瑞,卓凡逸,張惟奕和王柏龍, “數位內容產業於數位化教學之應用—以3D連線互動式遊戲製作為例", 2008全球商業經營管理學術研討會, pp. 71 - 81, 2008, Taiwan.
  • 308. T. P. Hong, P. C. Sun and S. D. Li, “A heuristic algorithm for the scheduling problem of parallel machines with mold constraints", The 7th WSEAS International Conference on Applied Computer and Applied Computational Science, 2008, China.
  • 309. T. P. Hong and G. N. Shiu, "Solving the m-in-K-of-N lifetime problem by PSO", The Sixteenth National Conference on Automation Technology, pp. 11 - 15, 2008, Taiwan.
  • 310. T. P. Hong, Y. F. Tung, S. L. Wang, M. T. Wu, Y. L. Wu, “Extracting membership functions in fuzzy data mining by ant colony systems", The International Conference of Machine Learning and Cybernetics (ICMLC), pp. 3979 – 3984, 2008, China.
  • 311. T. P. Hong, H. Y. Chen, C. W. Lin and S. T. Li, “Incrementally fast updated sequential pattern trees", The International Conference of Machine Learning and Cybernetics (ICMLC), pp. 3991 – 3996, 2008, China.
  • 312. T. P. Hong and Y. L. Liou, “Case-based reasoning with feature clustering", The Seventh IEEE International Conference on Cognitive Informatics, 2008, USA.
  • 313. T. P. Hong, "Some techniques and applications in data mining", The 2008 IEEE International Conference on Granular Computing, pp. 34, 2008, China. (Invited)
  • 314. C. H. Chen, T. P. Hong, V. S. M. Tseng and L. C. Chen, "A multi-objective genetic-fuzzy mining algorithm", pp. 115 – 120, The 2008 IEEE International Conference on Granular Computing, 2008, China.
  • 315. T. P. Hong, Y. Y. Wu and S. L. Wang, “Mining up-to-date knowledge from log data", The 2008 IEEE International Conference on Granular Computing, pp. 286 – 291, 2008, China.
  • 316. C. S. Kuo, T. P. Hong and C. L. Chen, “A knowledge-evolution strategy based on genetic programming", The International Conference on Convergence and Hybrid Information Technology (ICHIT), pp. 43 – 48, 2008, Korea.
  • 317. T. P. Hong, "Some consideration factors in computational intelligence," The 2008 Computational Intelligence Forum & World 9 x 9 Computer GO Championship, pp. 62 - 72, 2008, Taiwan.
  • 318. C. W. Lin, T. P. Hong, W. H. Lu and W. Y Lin, “An incremental FUSP-Tree maintenance algorithm", The Eighth International Conference on Intelligent Systems Design and Applications (ISDA), Vol. 1, pp. 445 - 449, 2008, Taiwan.
  • 319. T. P. Hong, J. S. Dong and W. Y. Lin, "An integrated OWL data mining and query system", The 2008 IEEE International Conference on Systems, Man, and Cybernetic, pp. 251 - 255, 2008, Singapore.
  • 320. T. P. Hong and Y. L. Liou, “Attribute clustering with unknown cluster numbers", The 2008 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2772 - 2776, 2008, Singapore.
  • 321. S. L. Wang, T. Z. Lai, T. P. Hong and Y. L. Wu, “Efficient hiding of collaborative recommendation association rules with updates", The Seventh International Conference on Machine Learning and Applications (ICMLA), 2008, USA.
  • 322. C. L. Wang, T. P. Hong, G. Horng and W. H. Wang, “A GA-based key-management scheme in hierarchical wireless sensor networks", The 2008 International Symposium on Intelligent Informatics (ISII), p. 85, 2008, Japan.
  • 323. T. P. Hong, T. J. Huang and K. M. Yu, “An efficient maintenance algorithm of generalized association rules for record modification”, The Thirteenth Conference on Artificial Intelligence and Applications, 2008, pp. 260 - 265, Taiwan.
  • 324. C. W. Lin, T. P. Hong, W. H. Lu and H. Y Chen, “An FUSP-tree maintenance algorithm for record modification", The Workshop on Foundations of Data Mining in The Eighth IEEE International Conference on Data Mining, pp. 649 - 653, 2008, Italy.
  • 325. C. W. Lin, T. P. Hong and W. H. Lu, “Mining fuzzy association rules based on fuzzy FP-trees", The 16th National Conference on Fuzzy Theory and Its Applications, pp. 11 - 16, 2008, Taiwan.
  • 326. T. P. Hong, W. T. Lin, C. H. Chen and C. S. Ouyang, "Learning membership functions in Takagi-Sugeno fuzzy systems by genetic algorithms", The First Asian Conference on Intelligent Information and Database Systems, pp. 301 - 306, 2009, Vietnam.
  • 327. 邱菊添, 洪宗貝, 陳佳妍, 宋偉屏, 蔡銘家, 林庭立,“應用影像辨識和機器學習於數位遊戲設計”, The 2008 International Conference on Digital Content, pp. 218 - 225, 2008, Taiwan.
  • 328. G. C. Lan, T. P. Hong and V. S. M. Tseng, "Mining on-shelf high utility itemsets", The 2009 Conference on Information Technology and Applications in Outlying Islands, pp. 482 - 489, 2009, Taiwan.
  • 329. T. P. Hong, "Computational intelligence on scheduling," The 2009 Workshop on Scheduling Theory, p. 3, 2009, Taiwan.
  • 330. T. P. Hong, Y. F. Tung, S. L. Wang and Y. L. Wu, “A multi-level ant-based algorithm for fuzzy data mining", The 28th North American Fuzzy Information Processing Society Annual Conference (NAFIPS), USA.
  • 331. Y. C. Lee, T. P. Hong and T. C. Wang, "An algorithm for mining level-crossing association rules under multiple minimum supports", 2009中華決策科學學會年會暨學術研討會, 2009. Taiwan.
  • 332. S. L. Wang, T. Z. Lai, T. P. Hong and Y. L. Wu, “Hiding predictive association rules on horizontally distributed data”, The Twenty Second International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, pp. 133 - 141, 2009, Taiwan.
  • 333. S. L. Wang, J. D. Chen, P. A. Stirpe and T. P. Hong, “Probabilistic analysis of information center insecurity”, The Twenty Second International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, pp. 175 - 180, 2009, Taiwan.
  • 334. G. C. Lan, T. P. Hong and V. S. M. Tseng, "A novel algorithm for mining rare-utility itemsets in a multi-database environment", The 26th Workshop on Combinatorial Mathematics and Computation Theory, pp. 293 - 302, 2009, Taiwan.
  • 335. T. P. Hong, H. Y. Chen, C. W. Lin and S. T. Li, “Maintaining pre-large FUSP trees for record deletion", The 2009 International Conference on New Trends in Information and Service Science (NISS), pp. 948 - 953, 2009, China.
  • 336. T. P. Hong, S. S. Jou and P. C. Sun, “Finding the nearly optimal makespan on identical machines with mold constraints based on genetic algorithms", The Eighth WSEAS International Conference on Applied Computer and Applied Computational Science (ACACOS), 2009, China.
  • 337. T. P. Hong, W. T. Lin, C. P. Chu and C. S. Ouyang, "An iterative genetic learning approach for Takagi-Sugeno fuzzy systems", The International Conference on Machine Learning and Cybernetics (ICMLC), 2009, China.
  • 338. T. P. Hong, P. C. Wang and Y. C. Lee, "Automatic attribute clustering based on genetic algorithms", The 2009 IEEE International Conference on Granular Computing (GrC), pp. 214 – 218, 2009, China.
  • 339. C. S. Lee, M. H. Wang, T. P. Hong, G. Chaslot, J. B. Hoock, A. Rimmel, O. Teytaud and Y. H. Kuo, "A novel ontology for computer Go knowledge management", The 2009 IEEE International Conference on Fuzzy Systems, pp. 1056–1061, 2009, Korea.
  • 340. C. W. Lin, T. P. Hong and W. H. Lu, "Fuzzy data mining based on the compressed fuzzy FP-trees", The 2009 IEEE International Conference on Fuzzy Systems, pp. 1068–1072, 2009, Korea.
  • 341. C. H. Chen, T. P. Hong and V. S. M. Tseng, "Speeding up genetic-fuzzy mining by fuzzy clustering", The 2009 IEEE International Conference on Fuzzy Systems, pp. 1695–1699, 2009, Korea.
  • 342. G. C. Lan, T. P. Hong and V. S. M. Tseng, "A three-scan mining algorithm for high on-shelf utility itemsets", The Second International Symposium on Intelligent Informatics (ISII), 2009, China.
  • 343. T. P. Hong, P. C. Sun and S. S. Jou, “Solving scheduling problems of identical machines with mold constraints and job due dates", The Information Technologies, Applications and Management Conference (ITAMC), 2009, Taiwan.
  • 344. T. P. Hong, C. H. Lee and S. L. Wang, "Mining high average-utility itemsets", The 2009 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 2600–2604, 2009, USA.
  • 345. 楊國棟, 趙志宏, 劉則明,洪宗貝和林文揚, "A network architecture with hybrid IP addresses", The Taiwan Academic Network Conference (TANET), 2009, Taiwan.
  • 346. T. P. Hong and C. W. Wu, "Data mining from an incomplete data set", The Fourteenth Conference on Artificial Intelligence and Applications, 2009, Taiwan.
  • 347. G. C. Lan, T. P. Hong and V. S. M. Tseng, "A two-phased mining algorithm for high on-shelf utility itemsets", The 2009 National Computer Symposium (NCS), Vol. 4, pp. 100–105, 2009, Taiwan.
  • 348. C. W. Lin, T. P. Hong and W. H. Lu, "High utility pattern trees", The 20th Workshop on Object-Oriented Technology and Applications, 2009, Taiwan.
  • 349. C. W. Lin, T. P. Hong and W. H. Lu, "Mining up-to-date knowledge based on tree structures", The International Conference on Soft Computing and Pattern Recognition, pp. 123–127, 2009, Malaysia.
  • 350. C. W. Lin, T. P. Hong and W. H. Lu, "An efficient FUSP-Tree update algorithm for deleted data in customer sequences", The Fourth International Conference on Innovative Computing, Information and Control (ICICIC), pp. 1491–1494, 2009, Taiwan.
  • 351. T. P. Hong, C. H. Lee and S. L. Wang, "An incremental mining algorithm for high average-utility itemsets", The 10th International Symposium on Pervasive Systems, Algorithms and Networks (I-SPAN), pp. 421–425, 2009, Taiwan.
  • 352. C. W. Lin, T. P. Hong and W. H. Lu, "A new tree structure for mining frequent itemsets from uncertain databases", The Seventeenth National Conference on Fuzzy Theory and Its Applications, pp. 575–579, 2009, Taiwan.
  • 353. C. W. Lin, T. P. Hong and W. H. Lu, "Maintaining high utility pattern trees in dynamic databases", The Second International Conference on Computer Engineering and Applications (ICCEA), pp. 304-308, 2010, Indonesia.
  • 354. G. C. Lan, T. P. Hong and V. S. M. Tseng, "Mining high transaction-weighted utility itemsets", The Second International Conference on Computer Engineering and Applications (ICCEA), pp. 314-318, 2010, Indonesia.
  • 355. C. W. Lin, T. P. Hong and W. H. Lu, "Efficiently mining high average utility itemsets with a tree structure", The Second Asian Conference on Intelligent Information and Database Systems (ACIIDS), Part 1, pp. 131-139, 2010, Vietnam.
  • 356. G. C. Lan, T. P. Hong and V. S. M. Tseng, "A three-scan algorithm to mine high on-shelf utility itemsets", The Second Asian Conference on Intelligent Information and Database Systems (ACIIDS), Part 2, pp. 351-358, 2010, Vietnam.
  • 357. T. P. Hong, J. N. Huang, K. W. Lin and W. Y. Lin, "Appropriate item partition for improving the mining performance", The 27th Workshop on Combinatorial Mathematics and Computation Theory, pp. 263-267, 2010, Taiwan.
  • 358. G. C. Lan, T. P. Hong and V. S. M. Tseng, "An efficient pruning approach for mining high utility itemsets", The 2010 Conference on Information Technology and Applications in Outlying Islands (ITAOI), pp. 263-267, 2010, Taiwan.
  • 359. C. H. Chen, T. P. Hong and V. S. M. Tseng, "A SPEA2-based genetic-fuzzy mining approach", The IEEE International Conference on Fuzzy Systems, pp. 449-453, 2010, Spain.
  • 360. C. W. Lin, T. P. Hong and W. H. Lu, "A two-phase fuzzy mining approach", The IEEE International Conference on Fuzzy Systems, pp. 494-498, 2010, Spain.
  • 361. T. P. Hong, P. C. Wang, and C. K. Ting, "An evolutionary attribute clustering and selection method based on feature similarity", The IEEE Congress on Evolutionary Computation, pp. 1014-1018, 2010, Spain.
  • 362. T. P. Hong, K. T. Yang, C. W. Lin and S. L. Wang, "Evolutionary privacy–preserving data mining", 國立高雄大學與國立高雄第一科技大學2010年工程科技研究成果發表會, 2010, Taiwan.
  • 363. T. P. Hong, T. I. Chien and Y. L. Wu, "Design of efficient heuristic algorithms for solving scheduling problems with multiple mold constraints", The 2010 Information Technologies, Applications and Management Conference (ITAMC), 2010, Taiwan.
  • 364. T. P. Hong, C. W. Lin, G. C. Lan, and C. H. Lee, "Maintenance of high average-utility itemsets for record deletion", The 2010 International Conference on System Science and Engineering (ICSSE), pp. 75-79, 2010, Taiwan.
  • 365. C. W. Lin, T. P. Hong, G. C. Lan, H. Y. Chen and H. Y. Gao, "Incrementally mining high utility itemsets in dynamic databases", The 2010 IEEE International Conference on Granular Computing (GrC), pp. 303-307, 2010, USA.
  • 366. S. L. Wang, T. P. Hong, Y. C. Tsai and H. Y. Kao, "Hiding sensitive association rules on stars", The 2010 IEEE International Conference on Granular Computing (GrC), pp. 505-508, 2010, USA.
  • 367. T. P. Hong, C. H. Chen and V. S. M. Tseng, "A summary of genetic-fuzzy data mining techniques", The 2010 IEEE International Conference on Granular Computing (GrC), pp. 28-29, 2010, USA.
  • 368. T. P. Hong, "Some issues and approaches in data mining", The Joint Conference of The Tenth WSEAS International Conference on Applied Informatics and Communications and The Third WSEAS International Conference on Biomedical Electronics and Biomedical Informatics, p. 21, 2010, Taiwan.
  • 369. G. C. Lan, T. P. Hong and V. S. M. Tseng, "On-shelf utility mining with an upper-bound measure", The Third International Symposium on Intelligent Informatics (ISII), pp. 2445-2450, 2010, China.
  • 370. T. P. Hong, K. T. Yang, C. W. Lin and S. L. Wang, "Evolutionary privacy-preserving data mining", The International Forum on Multimedia and Image Processing (IFMIP) in the World Automation Congress (WAC), 2010, Japan.
  • 371. T. P. Hong, C. W. Lin and T. C. Lin, “Mining complete fuzzy frequent itemsets by tree structures", The IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2010, pp. 563-567, Turkey.
  • 372. T. P. Hong and M. T. Wu and Y. C. Lee, “Using dynamic mutation rates in gene-set genetic algorithms", The IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 4018-4022, 2010, Turkey.
  • 373. Y. C. Lee, T. P. Hong and C. H. Chen, "Mining generalized association rules with quantitative data under multiple support constraints", The Second International Conference on Computational Collective Intelligence (ICCCI), Part II, pp. 224-231, 2010, Taiwan.
  • 374. M. T. Wu, T. P. Hong and C. N. Lee, "An improved ant algorithm for fuzzy data mining", The Second International Conference on Computational Collective Intelligence (ICCCI), Part II, pp. 344-351, 2010, Taiwan.
  • 375. G. C. Lan, T. P. Hong and V. S. M. Tseng, "Projection-based utility mining with an efficient indexing mechanism", The 2010 Conference on Technologies and Applications of Artificial Intelligence (TAAI), pp. 137-141, 2010, Taiwan.
  • 376. C. H. Chen, L. C. Chen, T. P. Hong and V. S. M. Tseng, "A cluster-based divide-and-conquer genetic-fuzzy mining approach for items with multiple minimum supports", The 2010 Conference on Technologies and Applications of Artificial Intelligence (TAAI), pp. 532-536, 2010, Taiwan.
  • 377. T. P. Hong, C. W. Lin and T. C. Lin, “The compressed multiple fuzzy-term frequent pattern tree", The Eighteenth National Conference on Fuzzy Theory and Its Applications, pp. 164-168, 2010, Taiwan.
  • 378. T. P. Hong, T. I. Chien, Y. L. Wu and C. W. Lin, "Evolutionary computation for good makespans of scheduling problems with mold constraints", The Fifth International Conference on Innovative Computing, Information and Control (ICICIC), 2010, China.
  • 379. S. L. Wang, T. P. Hong, Y. C. Tsai and H. Y. Kao, "Multi-table association rules hiding", The Tenth International Conference on Intelligent System Design and Applications (ISDA), pp. 1298-1302, 2010, Egypt.
  • 380. T. P. Hong, "Evolutionary attribute clustering and feature selection", 2010兩岸三地智能科學前沿學術研討會, p. 5, 2010, Taiwan.
  • 381. H. H. Yu, V. S. M. Tseng, C. H. Chen and T. P. Hong, “Time series pattern discovery with granular computing concept,” The 2010 International Conference on University Basic Computers Education and eLearning (iCube), 2010, Taiwan.
  • 382. H. H. Yu, V. S. M. Tseng, C. H. Chen and T. P. Hong, "A PIP-based evolutionary approach for time series segmentation and pattern discovery", The 2010 International Computer Symposium (ICS), pp. 705-710, 2010, Taiwan.
  • 383. S. L. Wang, Y. C. Tsai, H. Y. Kao and T. P. Hong, "Anonymizing set-valued social data", The IEEE International Symposium on Social Computing and Networking (SocialNet), 2010, China. (Best Paper Award)
  • 384. S. L. Wang, Z. Z. Tsai, T. P. Hong and I. H. Ting, "Anonymizing shortest paths on social network graphs", The Third Asian Conference on Intelligent Information and Database Systems (ACIIDS), Part 1, pp. 129-136, 2011, Korea. (Best Paper Award)
  • 385. G. C. Lan, T. P. Hong, C. W. Lin, S. L. Wang and V. S. M. Tseng, "Mining high average-utility itemsets with an indexed projection technique", The First National Conference on Web Intelligence and Applications (NCWIA), pp. 334-338, 2011, Taiwan.
  • 386. G. C. Lan, T. P. Hong and V. S. M. Tseng, "Enhancing the pruning performance in on-shelf utility mining", The Fourth International Symposium on Intelligent Informatics (ISII), 2011, China.
  • 387. 邱菊添和洪宗貝,“結合人工智慧技術於電腦遊戲之開發與設計”, 2011全球商業經營管理學術研討會, 2011, Taiwan.
  • 388. G. C. Lan, T. P. Hong and V. S. M. Tseng, "Tightening upper bounds of utility values in utility mining", The 28th Workshop on Combinatorial Mathematics and Computation Theory, pp. 11-16, 2011, Taiwan.
  • 389. 洪宗貝,黃郁如,黃新程,許哲與和李柏威, “結合臉部動作與眼球追蹤之輔助輸入系統", 第六屆智慧生活科技 (Intelligent Living Technology)研討會, pp. 1300-1304, 2011, Taiwan.
  • 390. G. C. Lan, T. P. Hong, V. S. M. Tseng and C. H. Chen,, "Using pruning and filtering strategies to speed-up projection-based utility mining", pp. 400-404, The 2011 International Conference on System Science and Engineering (ICSSE), 2011, Macau.
  • 391. C. H. Chen, T. P. Hong and S. B. Lin, "Mining fuzzy temporal knowledge from quantitative transactions", The 2011 International Conference on System Science and Engineering (ICSSE), pp. 405-409, 2011, Macau.
  • 392. G. C. Lan, C. W. Lin, T. P. Hong and V. S. M. Tseng, "Updating high average-utility itemsets in dynamic databases", The 2011 World Congress on Intelligent Control and Automation (WCICA), pp. 281-285, 2011, Taiwan.
  • 393. T. P. Hong, C. W. Lin, K. T. Yang and S. L. Wang, “A heuristic data-sanitization approach based on TF-IDF", The Fifteenth International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE), pp. 156-164, 2011, USA.
  • 394. T. P. Hong, C. W. Lin, T. C. Lin and S. T. Pan, "Upper-bound multiple fuzzy frequent-pattern trees", The 2011 IEEE International Conference on Fuzzy Systems, pp. 218-222, 2011, Taiwan.
  • 395. C. H. Chen, T. P. Hong and Y. C. Lee, "A multiple-level genetic-fuzzy mining algorithm", The 2011 IEEE International Conference on Fuzzy Systems, pp. 278-282, 2011, Taiwan.
  • 396. S. T. Pan, S. F. Liang, T. P. Hong and J. H. Zeng, "Apply fuzzy vector quantization to improve the observation-based discrete hidden Markov model - An example on electroencephalogram (EEG) signal recognition", The 2011 IEEE International Conference on Fuzzy Systems, pp. 1674-1680, 2011, Taiwan.
  • 397. T. P. Hong, J. N. Huang, W. Y. Lin and M. C. Chiang, "GA-based item partition for data mining", The 2011 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 2238-2242, 2011, USA.
  • 398. T. P. Hong, C. W. Lin, K. T. Yang and S. L. Wang, "A lattice-based data sanitization approach", The 2011 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 2325-2349, 2011, USA.
  • 399. T. P. Hong, C. W. Lin, C. C. Chang and S. L. Wang, "Hiding sensitive itemsets by inserting dummy transactions", The 2011 IEEE International Conference on Granular Computing (GrC), pp. 246-249, 2011, Taiwan.
  • 400. T. P. Le, T. P. Hong, B. Vo and B. Le, “Incremental mining frequent itemsets based on the trie structure and the pre-large itemsets", The 2011 IEEE International Conference on Granular Computing (GrC), pp. 369-373, 2011, Taiwan.
  • 401. S. L. Wang, Y. C. Tsai, H. Y. Kao and T. P. Hong, "K-anonymity on sensitive transaction items", The 2011 IEEE International Conference on Granular Computing (GrC), pp. 723-727, 2011, Taiwan.
  • 402. T. P. Hong, W. P. Song and C. T. Chiu, "Evolutionary composite attribute clustering", The 2011 Conference on Technologies and Applications of Artificial Intelligence (TAAI), pp. 305-308, 2011, Taiwan.
  • 403. 潘欣泰,梁勝富,洪宗貝,曾建弘和陳弘晉, “以模糊向量量化改善離散隱藏式馬可夫模型 - 以腦電波信號辨識為例", The Nineteenth National Conference on Fuzzy Theory and Its Applications, 2011, Taiwan.
  • 404. G. C. Lan, C. H. Chen, T. P. Hong and S. B. Lin, "Mining fuzzy temporal association rules with effective lifespans of items", The 2011 Cross-Strait Conference on Information Science and Technology (CSCIST), 2011, Taiwan.
  • 405. G. C. Lan, T. P. Hong and V. S. M. Tseng, "An effective strategy for reducing average-utility upper bounds in mining", The 2011 National Computer Symposium (NCS), pp. 108-112, 2011, Taiwan.
  • 406. G. C. Lan, C. H. Chen, T. P. Hong and S. B. Lin, "A fuzzy approach for mining general temporal association rules in a publication database", The Eleventh International Conference on Hybrid Intelligent Systems (HIS), pp. 611-615, 2011, Malaysia.
  • 407. S. L. Wang, Z. Z. Tsai, T. P. Hong, I. H. Ting, and Y. C. Tsai "Anonymizing multiple K-anonymous shortest paths for social graphs", The Second International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA), pp. 195-198, 2011, China.
  • 408. C. W. Lin, T. P. Hong, H. Y. Lee and S. L. Wang, “Maintenance of pre-large FUSP trees in dynamic databases", The Second International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA), pp. 199-202, 2011, China.
  • 409. G. C. Lan, T. P. Hong and V. S. M. Tseng, "An efficient three-scan approach for mining high utility itemsets", The Seventeenth International Symposium on Artificial Life and Robotics (AROB), pp. 414-417, 2012, Japan.
  • 410. T. P. Le, T. P. Hong, B. Vo and B. Le, “An efficient incremental mining approach based on IT-trees", The Ninth IEEE-RIVF International Conference on Computing and Communication Technologies, pp. 57-61, 2012, Vietnam.
  • 411. T. P. Hong, C. W. Lin, T. C. Lin, Y. F. Chen and S. T. Pan, "Integration of multiple fuzzy FP-trees", The Fourth Asian Conference on Intelligent Information and Database Systems (ACIIDS), Vol. 1, pp. 330-337, 2012, Taiwan.
  • 412. T. P. Hong, C. W. Lin, B. Y. Chen, Y. F. Chen and P. Y. Hsiao, "An incremental HAUP-tree mining algorithm", The 2012 International Conference on Advanced Information Technologies and The Second National Conference on Web Intelligence and Applications (AIT/NCWIA), pp. 493-498, 2012, Taiwan.
  • 413. G. C. Lan, T. P. Hong and V. S. M. Tseng, "Sequential utility mining with the maximum measure", The 29th Workshop on Combinatorial Mathematics and Computation Theory (Alg), pp. 115-119, 2012, Taiwan.
  • 414. G. C. Lan, T. P. Hong and V. S. M. Tseng, " A multi-strategy mining approach for on-shelf utility mining", The 2012 Conference on Information Technology and Applications in Outlying Islands (ITAOI), pp. 844-848, 2012, Taiwan.
  • 415. T. P. Hong, H. Y. Lee and G. C. Lan, “An efficient upper-bound model for mining weighted sequential patterns”, The Twenty-third International Conference on Information Management (ICIM), 2012, Taiwan.
  • 416. 王學亮、陳仲膺、丁一賢和洪宗貝, “非均勻分布地圖之查詢地點隱匿之研究”, The Twenty-third International Conference on Information Management (ICIM), 2012, Taiwan.
  • 417. C. W. Tsai, T. Y. Lin, M. C. Chiang, C. S. Yang and T. P. Hong, “Continuous space pattern reduction for genetic clustering algorithm”, The Genetic and Evolutionary Computation Conference (GECCO), pp. 1475-1476, 2012, USA.
  • 418. T. P. Hong, C. W. Lin, T. C. Lin and S. L. Wang, "Incremental multiple fuzzy frequent pattern tree", The IEEE International Conference on Fuzzy Systems, pp. 2051-2055, 2012, Australia.
  • 419. C. H. Chen, A. F. Li, Y. C. Lee and T. P. Hong, "Mining fuzzy coherent rules from quantitative transactions without minimum support threshold", The IEEE International Conference on Fuzzy Systems, pp. 1779-1783, 2012, Australia.
  • 420. T. P. Hong, F. S. Lin and C. H. Chen, "Using the group genetic algorithm for attribute clustering", The IEEE Congress on Evolutionary Computation, pp. 2352-2356, 2012, Australia.
  • 421. 洪宗貝, 黃新程, 丁肇軍, 許繼仁和劉書宇,“舌型影像即時擷取與辨識操控系統", 2012數位生活科技研討會 (The 2012 Symposium on Digital Life Technologies), Taiwan.
  • 422. C. H. Chen, J. S. He, T. P. Hong and W. T. Lin, “MOGA for multi-level fuzzy data mining", The 2012 IEEE International Conference on Granular Computing (GrC), pp. 44-49, 2012, China.
  • 423. G. C. Lan, T. P. Hong, V. S. M. Tseng and S. L Wang, “An improved approach for sequential utility pattern mining", The 2012 IEEE International Conference on Granular Computing (GrC), pp. 270-274, 2012, China.
  • 424. L. T. T. Nguyen, B. Vo, T. P. Hong and H. C. Thanh, “A fast algorithm for classification based on association rules", The 2012 IEEE International Conference on Granular Computing (GrC), pp. 444-448, 2012, China.
  • 425. T. P. Hong, T. I. Chien, Y. C. Lee and Y. L. Wu, “A bio-inspired algorithm for solving the scheduling problems with redundant molds”, The Third International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA), pp. 24-28, 2012, Taiwan.
  • 426. C. T. Tran, B. Vo, T. P. Hong, C. W. Lin and B. Le, “An enhanced FUFP-tree maintenance approach for transactions deletion", The Third International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA), pp. 45-50, 2012, Taiwan.
  • 427. B. Vo, M. T. Tran, H. Nguyen, T. P. Hong and B. Le, “A dynamic bit-vector approach for efficiently mining inter-sequence patterns", The Third International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA), pp. 51-56, 2012, Taiwan.
  • 428. Y. C. Tsai, S. L. Wang, H. Y. Kao and T. P. Hong, “Confining edge types in K-anonymization of shortest paths”, The Third International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA), pp. 318-322, 2012, Taiwan.
  • 429. S. L. Wang, C. Y. Chen, I. H. Ting and T. P. Hong, "Multi-layer partition for query location anonymization", The 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 378-383, 2012, Korea.
  • 430. T. P. Hong, S. D. Li, Y. C. Lee and C. W. Lin, “Dynamic scheduling with mold constraints", The Seventh International Conference on Innovative Computing, Information and Control (ICICIC) & The Fifth International Symposium on Intelligent Informatics (ISII), 2012, China.
  • 431. T. P. Hong, G. C. Lan, P. S. Wu and S. L. Wang, “Data mining with time granules”, The 2012 International Conference on New Trends in Information Science, Service Science and Data Mining (ISSDM), pp. 667-671, 2012, Taiwan.
  • 432. T. P. Hong, G. C. Lan, Y. H. Lin and S. T. Pan, “Speed up the execution efficiency of finding fuzzy frequent itemsets”, The First International Conference on Fuzzy Theory and Its Applications (iFuzzy), pp. 74-77, 2012, Taiwan.
  • 433. S. T. Pan, T. P. Hong and H. C. Chen, “ECG signal analysis by using hidden Markov model”, The First International Conference on Fuzzy Theory and Its Applications (iFuzzy), pp. 139-144, 2012, Taiwan.
  • 434. C. H. Chen, G. C. Lan, T. P. Hong and Y. K. Lin, “A high coherent association rule mining algorithm”, The 2012 Conference on Technologies and Applications of Artificial Intelligence (TAAI) (International Track), pp. 1-4, 2012, Taiwan.
  • 435. B. Le, T. P. Le, B. Vo and T. P. Hong, “Maintenance of DBV-trees for transaction insertion", The 2012 Conference on Technologies and Applications of Artificial Intelligence (TAAI) (International Track), pp. 165-170, 2012, Taiwan.
  • 436. W. Y. Lin, T. P. Hong, S. M. Liu and J. H. Lin, “Revisiting the design of adaptive migration schemes for multipopulation genetic algorithms", The 2012 Conference on Technologies and Applications of Artificial Intelligence (TAAI) (International Track), pp. 338-343, 2012, Taiwan.
  • 437. T. P. Hong, G. C. Lan, T. J. Hsu and C. T. Chiu, “Personalized recommendation of PC Games based on multiple features mining”, pp. 317-320, The 2012 Conference on Technologies and Applications of Artificial Intelligence (TAAI) (Domestic Track), 2012, Taiwan.
  • 438. T. P. Le, B. Vo, T. P. Hong, B. Le and J. Jung, “Maintenance of IT-tree for transactions deletion", The Fourth International Conference on Computational Collective Intelligence (ICCCI), pp. 157-166, 2012, Vietnam.
  • 439. L. T. T. Nguyen, B. Vo, T. P. Hong and H. C. Thanh, “Interestingness measures for classification based on association rules", The Fourth International Conference on Computational Collective Intelligence (ICCCI), pp. 383-392, 2012, Vietnam.
  • 440. T. T. Pham, J. W. Luo, T. P. Hong and B. Vo, “MSGPs: a novel algorithm for mining sequential generator patterns", The Fourth International Conference on Computational Collective Intelligence (ICCCI), pp. 393-401, 2012, Vietnam.
  • 441. S. L. Wang, C. Y. Chen, I. H. Ting and T. P. Hong, "Anonymous spatial query on non-uniform data", The 14th International Conference on Information Integration and Web-based Applications & Services (iiWAS), pp. 126-131, 2012, Indonesia.
  • 442. C. W. Lin, T. P. Hong, G. C. Lan, J. W. Wong and W. Y. Lin, “Mining high utility itemsets based on the pre-large concept", The 2012 International Computer Symposium (ICS), Vol. 1, pp. 243-250, 2012, Taiwan.
  • 443. K. J. Yang, T. P. Hong, Y. M. Chen and G. C. Lan, “An efficient partial periodic pattern mining approach for an event sequence", The 18th Conference on Information Management Practice (IMP), 2012, Taiwan.
  • 444. C. W. Lin, T. P. Hong, C. C. Chang and S. L. Wang, "A GA-based approach for hiding sensitive itemsets by transaction insertion", The Third International Conference on Theoretical and Mathematical Foundations of Computer Science (ICTMF), pp. 3-9, 2012, Indonesia.
  • 445. B. Le, C. T. Tran, T. P. Hong and B. Vo, “A space-time trade off for FUFP-trees maintenance”, The Fifth Asian Conference on Intelligent Information and Database Systems (ACIIDS), Part 2, pp. 206-214, 2013, Malaysia.
  • 446. C. H. Chen, C. H. Ho and T. P. Hong, “A two-stage multi-objective genetic-fuzzy mining algorithm", The 6th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS) in The 2013 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 16-20, 2013, Singapore.
  • 447. G. C. Lan, T. P. Hong, Y. H. Lin and S. L. Wang, "Using fuzzy sets for utility mining", The Third National Conference on Web Intelligence and Applications (NCWIA), 2013, Taiwan.
  • 448. M. T. Wu, T. P. Hong and C. N. Lee, “An extended ACS approach for continuous domains", The 2013 International Conference on Advanced Information Technologies (AIT), 2013, Taiwan.
  • 449. G. C. Lan, T. P. Hong, H. Y. Lee and C. W. Lin, “Mining weighted frequent itemsets”, The 30th Workshop on Combinatorial Mathematics and Computation Theory, pp. 85-89, 2013, Taiwan.
  • 450. K. J. Yang, T. P. Hong, Y. M. Chen and G. C. Lan, “An improved strategy for mining partial periodic patterns from a sequence of event sets", The 2013 International Conference in Management Sciences and Decision Making (ICMSDM), 2013, Taiwan.
  • 451. T. P. Hong, G. C. Lan and H. C. Huang, "Mining high quantitative utility sequential patterns", The 2013 Conference on Information Technology and Applications in Outlying Islands (ITAOI), pp. 26-31, 2013, Taiwan.
  • 452. B. Vo, C. W. Lin, T. P. Hong, V. V. Vu, M. Q. Nguyen and B. Le, “An efficient method for hiding high utility itemsets", The Seventh International KES Conference on Agents and Multi-agent Systems - Technologies and Applications (KES-AMSTA), pp. 356-363, 2013, Vietnam.
  • 453. C. W. Lin, T. P. Hong, G. C. Lan, J. W. Wong and W. Y. Lin, “A decremental utility mining algorithm based on the pre-large concept", The 27th Annual Conference of The Japanese Society for Artificial Intelligence (JSAI), 2013, Japan.
  • 454. S. S. Chen, C. F. Huang and T. P. Hong, “A multi-objective genetic model for stock selection", The 27th Annual Conference of The Japanese Society for Artificial Intelligence (JSAI), 2013, Japan.
  • 455. G. C. Lan, T. P. Hong and C. C. Wang, "Considering on-shelf situations of items in mining temporal association rules", The 2013 Information Technologies, Applications and Management Conference (ITAMC), 2013, Taiwan.
  • 456. G. C. Lan, T. P. Hong, P. S. Wu and S. Tsumoto, “Mining hierarchical temporal association rules in a publication database”, The 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 2013, USA.
  • 457. G. C. Lan, T. P. Hong, Y. H. Lin and C. W. Tsai, "Mining fuzzy frequent itemsets by projection techniques", The International Conference on Machine Learning and Cybernetics (ICMLC), pp. 1691-1694, 2013, China.
  • 458. C. W. Lin, G. C. Lan, T. P. Hong and L. Kong, “Mining high utility itemsets based on transaction deletion”, The Eighth International Conference on Embedded and Multimedia Computing (EMC), pp. 983-990, 2013, Taiwan.
  • 459. W. Y. Lin, S. F. Yang and T. P. Hong, "Memory-aware mining of indirect associations over data streams", The 2013 International Workshop on Intelligent Data Analysis and Management (IDAM) Jointly with The Eighth International Conference on Knowledge Management in Organizations (KMO), pp. 15-25, 2013, Taiwan. (Best Paper Award)
  • 460. K. J. Yang, T. P. Hong, Y. M. Chen and G. C. Lan, “Mining weighted partial periodic patterns", The 2013 International Workshop on Intelligent Data Analysis and Management (IDAM) Jointly with The 8th International Conference on Knowledge Management in Organizations (KMO), pp. 47-54, 2013, Taiwan.
  • 461. S. L. Wang, C. C. Shih, I. H. Ting and T. P. Hong, "Edge selection for degree anonymization on K shortest paths", The 2013 International Workshop on Intelligent Data Analysis and Management (IDAM) Jointly with The Eighth International Conference on Knowledge Management in Organizations (KMO), pp. 55-64, 2013, Taiwan.
  • 462. S. L. Wang, J. W. Chen, I. H. Ting and T. P. Hong, "K-neighborhood shortest path privacy in the cloud", The 2013 International Workshop on Intelligent Data Analysis and Management (IDAM) Jointly with The Eighth International Conference on Knowledge Management in Organizations (KMO), pp. 65-76, 2013, Taiwan.
  • 463. L. Xu, C. W. Lin, G. C. Lan and T. P. Hong, “Evaluating the side-effects of privacy preserving sequential pattern mining for sequence deletion,” The Eighth International Conference on Innovative, Computing, Information and Control (ICICIC), 2013, Japan.
  • 464. B. Vo, T. Le, T. P. Hong and B. Le, “Maintenance of a frequent-itemset lattice based on pre-large concept", The Fifth International Conference on Knowledge and Systems Engineering (KSE), pp. 295-305, 2013, Vietnam.
  • 465. S. L. Wang, C. C. Shih, I. H. Ting and T. P. Hong, “Degree anonymization for K-shortest-path privacy”, The 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 1093-1097, 2013, UK.
  • 466. G. C. Lan, T. P. Hong, H. Y. Lee, S. L. Wang and C. W. Tsai, “Enhancing the efficiency in mining weighted frequent itemsets”, The 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 1104-1108, 2013, UK.
  • 467. C. W. Tsai, A. Pelov, M. C. Chiang, C. S. Yang and T. P. Hong, “A brief introduction to classification for smart grid", The 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 2905-2909, 2013, UK.
  • 468. B. Vo, F. Coenen, T. Le and T. P. Hong, “A hybrid approach for mining frequent itemsets", The 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 4647-4651, 2013, UK.
  • 469. C. W. Lin, T. P. Hong and H. C. Hsu, "Evaluating side effects to hide sensitive itemsets through transaction deletion", The Eighth International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2013, China.
  • 470. S. L. Wang, J. W. Chen, I. H. Ting and T. P. Hong, "Sensitive and neighborhood privacy on shortest paths in the cloud", The 15th International Conference on Information Integration and Web-based Applications & Services (iiWAS), pp. 555-559, 2013, Austria.
  • 471. G. C. Lan, T. P. Hong, H. C. Huang and S. T. Pan, "Mining high fuzzy utility sequential patterns", The 2013 International Conference on Fuzzy Theory and Its Applications (iFUZZY), pp. 420-424, 2013, Taiwan.
  • 472. K. J. Yang, T. P. Hong, Y. M. Chen and G. C. Lan, “Partial periodic patterns mining with multiple minimum supports", The Ninth International Conference on Information, Communications and Signal Processing (ICICS), 2013, Taiwan.
  • 473. S. T. Pan, Y. J. Chiou, T. P. Hong and H. C. Chen, "Automatic recognition for arrhythmias with the assistance of hidden Markov model", The Ninth International Conference on Information, Communications and Signal Processing (ICICS), 2013, Taiwan.
  • 474. G. C. Lan, T. P. Hong, C. C. Wang and S. L. Wang, "On-shelf association rule mining from multiple sources", The 2013 National Computer Symposium (NCS), 2013, Taiwan.
  • 475. C. W. Lin, T. P. Hong, J. W. Wong and G. C. Lan, "Privacy preserving high utility mining based on genetic algorithms", The 2013 IEEE International Conference on Granular Computing (GrC), pp. 191-195, 2013, China.
  • 476. G. C. Lan, T. P. Hong, J. P. Huang and V. S. M. Tseng, "Mining on-shelf utility itemsets with negative item values in temporal databases", The E-Learning and Information Technology Symposium (EITS), 2014, Taiwan. (Best Paper Award)
  • 477. C. H. Chen, Y. Li and T. P. Hong, "Multi-level genetic-fuzzy mining with a tuning mechanism", The Sixth Asian Conference on Intelligent Information and Database Systems (ACIIDS), Part II, pp. 82-89, 2014, Thailand.
  • 478. G. C. Lan, T. P. Hong, J. P. Huang and E. W. Lin, "Discovery of high utility sequential patterns with consideration of on-shelf time periods of products", The 31th Workshop on Combinatorial Mathematics and Computation Theory, pp. 250-255, 2014, Taiwan.
  • 479. M. T. Wu, T. P. Hong and C. N. Lee, “A binary-coding ACS approach for continuous domains", The Fourth National Conference on Web Intelligence and Applications (NCWIA), 2014, Taiwan. (Best Paper Award)
  • 480. 劉育瑒、洪宗貝、藍國誠、邱亭叡、張瀞文、郭家豐, "以社群標記分享為基礎之GPS系統開發", The 2014 Conference on Information Technology and Applications in Outlying Islands (ITAOI), pp. 151-154, 2014, Taiwan.
  • 481. C. R. Li, C. W. Lin, W. S. Gan and T. P. Hong, "A modified maintenance algorithm for updating FUSP tree in dynamic database", The 27th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE), Vol. 1, pp. 301-305, 2014, Taiwan.
  • 482. G. C. Lan, T. P. Hong and Y. T. Chao, "Multi-criteria utility mining using minimum constraints", The 27th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE), Vol. 2, pp. 42-47, 2014, Taiwan.
  • 483. C. H. Chen, G. C. Lan, T. P. Hong, S. L. Wang and Y. K. Lin, "A projection-based approach for mining highly coherent association rules", The First Euro-China Conference on Intelligent Data Analysis and Applications (ECC), Vol. 1, pp. 69-78, 2014, China.
  • 484. C. W. Lin, T. P. Hong and H. C. Hsu, "Hiding sensitive itemsets with minimal side effects in privacy preserving data mining", The First Euro-China Conference on Intelligent Data Analysis and Applications (ECC), Vol. 1, pp. 87-95, 2014, China.
  • 485. C. W. Lin, W. Gan, T. P. Hong and R. Tso, "An incremental algorithm for maintaining the built FUSP trees based on the pre-large concepts", The First Euro-China Conference on Intelligent Data Analysis and Applications (ECC), Vol. 1, pp. 135-144, 2014, China.
  • 486. 洪宗貝、賴博文、王柏龍和李詠麒, “中小企業現場作業環境之資訊系統導入—以鋼板測厚器系統為例", The 2014 Symposium on Digital Life Technologies (DLT), pp. 455-459, 2014, Taiwan.
  • 487. 洪宗貝、陳彥霖、陳彥碩、李柏儀、葉博榮、劉育瑒、藍國誠和黃新程,"結合臉部特徵辨識與眼控為基礎之智慧型輔助輸入系統", The 2014 Symposium on Digital Life Technologies (DLT), pp. 608-612, 2014, Taiwan.
  • 488. Y. Li, C. H. Chen, T. P. Hong and Y. C. Lee, "Genetic-fuzzy mining with type-2 membership functions", The 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1985-1989, 2014, China.
  • 489. C. W. Lin, W. S. Gan, T. P. Hong and C. M. Chen, "Maintaining high-utility itemsets in dynamic databases", The International Conference on Machine Learning and Cybernetics (ICMLC), pp. 469-474, 2014, China.
  • 490. C. W. Lin, T. Y. Wu, G. Lin and T. P. Hong, "Maintenance algorithm for updating the discovered multiple fuzzy frequent itemsets for transaction deletion", The International Conference on Machine Learning and Cybernetics (ICMLC), pp. 475-480, 2014, China.
  • 491. G. C. Lan, T. P. Hong, Y. C. Tseng and S. L. Wang, “Utility knowledge fusion in a multi-site environment”, The 2014 Multidisciplinary International Social Networks Conference (MISNC), pp. 171-178, 2014, Taiwan.
  • 492. C. W. Lin, W. S. Gan, T. P. Hong and J. S. Pan, “Updating the built FUSP trees with sequence deletion based on prelarge concept”, The 2014 Multidisciplinary International Social Networks Conference (MISNC), pp. 417-426, 2014, Taiwan.
  • 493. G. C. Lan, T. P. Hong and Y. T. Chao, "Multi-criteria utility mining using maximum constraints", The 6th International Conference on Computational Collective Intelligence Technologies and Applications (ICCCI), pp. 466-471, 2014, Korea.
  • 494. G. C. Lan, T. P. Hong, Y. H. Lin and S. L. Wang, “Fast discovery of high fuzzy utility itemsets”, The 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 2723-2726, 2014, USA.
  • 495. Y. C. Lee, Q. F. Qi, T. P. Hong and C. H. Chen, "A GA-based scheduling algorithm on parallel machines with heterogeneous mounted molds", The 2014 IEEE International Conference on Granular Computing (GrC), pp. 147-150, 2014, Japan.
  • 496. T. P. Hong, L. I. Huang and W. Y. Lin “Comparison of some migration policies in sub-ant-colony scheme", The Taiwan Academic Network Conference (TANET), pp. 1557-1561, 2014, Taiwan.
  • 497. T. Lu, B. Vo, H. T. Nguyen and T. P. Hong, “A new method for mining high average utility itemsets", The 13th International Conference on Information Systems and Industrial Management Applications (CISIM), pp. 33-42, 2014, Vietnam.
  • 498. S. S. Chen, C. F. Huang and T. P. Hong, “An improved multi-objective genetic model for stock selection with domain knowledge", The 2014 Conference on Technologies and Applications of Artificial Intelligence (TAAI), pp. 66-73, 2014, Taiwan.
  • 499. T. P. Hong, C. H. Chen, F. S. Lin and S. L. Wang, "Center-based group genetic algorithm for attribute clustering", The 2014 International Conference on Fuzzy Theory and Its Applications (iFUZZY), pp. 163-167, 2014, Taiwan.
  • 500. T. P. Hong, L. I. Huang and W. Y. Lin, "Trade-off consideration in sub-ant-colony scheme", The 2014 International Conference on Software Intelligence Technology and Applications (SIT), pp. 22-26, 2014, Taiwan.
  • 501. Y. C. Tsai, S. L. Wang, T. P. Hong and H. Y. Kao, “[k1, k2]-anonymization of shortest paths", The Fourth International Workshop on Intelligent Data Analysis and Mining (IDAM), Jointly with The 12th International Conference on Advances in Mobile Computing and Multimedia (MoMM), pp. 317-321, 2014, Taiwan.
  • 502. T. P. Hong, L. I. Huang and W. Y. Lin “A different perspective on parallel sub-ant-colonies", The Fourth International Workshop on Intelligent Data Analysis and Management (IDAM), Jointly with The 12th International Conference on Advances in Mobile Computing and Multimedia (MoMM), pp. 322-325, 2014, Taiwan.
  • 503. S. S. Chen, C. F. Huang, T. P. Hong and B. R. Chang, “Using a genetic model for asset allocation in stock investment ", The 2014 International Computer Symposium (ICS), pp. 153-161, 2014, Taiwan.
  • 504. C. W. Lin, W. S. Gan, T. P. Hong and J. S. Pan, "Incrementally updating high-utility itemsets with transaction insertion", The Tenth International Conference on Advanced Data Mining and Applications (ADMA), pp. 44-56, 2014, China.
  • 505. C. H. Chen, T. P. Hong and Y. Li, "A type-2 fuzzy mining approach for linguistic association rules", The Seventh Asian Conference on Intelligent Information and Database Systems (ACIIDS), Part II, pp. 128-134, 2015, Indonesia.
  • 506. K. Y. Lin, P. C. Wang and T. P. Hong, "A greedy algorithm in WSNs for maximum network lifetime and communication reliability", The 12th IEEE International Conference on Networking, Sensing and Control (ICNSC), 2015, Taiwan.
  • 507. 邱菊添、張慧穎、曾羣偉、洪宗貝、陳奕翔、鄭詠仁、陳宗杰、柯元堂、邱珮瑜,"運用微軟體感於數位化學習教材內容之開發與設計(Applying Microsoft Kinect to development and design of digital learning materials)", 2015全球商業經營管理學術研討會 (The 2015 Symposium on Global Business Operation and Management), pp. 798-803, 2015, Taiwan.
  • 508. W. M. Huang, G. C. Lan, T. P. Hong and M. C. Chiang, "Temporal fuzzy utility mining with upper-bound", The 32nd Workshop on Combinatorial Mathematics and Computation Theory, pp. 162-168, 2015, Taiwan.
  • 509. T. P. Hong, R. C. Chen and W. Y. Lin, "Balance of local search and diversity in sub-swarms of PSO", The 2015 Conference on Information Technology and Applications in Outlying Islands (ITAOI), pp. 261-264, 2015, Taiwan.
  • 510. C. W. Lin, W. S. Gan, T. P. Hong and M. E. Wu, "A list-based algorithm for efficiently updating the discovered high-utility itemsets", The 2015 Conference on Information Technology and Applications in Outlying Islands (ITAOI), pp. 586-593, 2015, Taiwan.
  • 511. C. H. Chen, Y. Li, T. P. Hong, Y. K. Li and H. C. Lu, "A GA-based approach for mining membership functions and concept-drift patterns", The 2015 IEEE Congress on Evolutionary Computation (CEC), pp. 2961-2965, 2015, Japan.
  • 512. 洪宗貝、林昆毅、籃郁昌、吳明泰、王煒婷、鄭湧霖,"多個購物網站查詢資料之自動整合及推薦", The Fifth National Conference on Web Intelligence and Applications (NCWIA), 2015, Taiwan.
  • 513. T. P. Hong, Y. Y. Liu, M. T. Wu and C. W. Tsai, "Efficient data preprocessing for genetic-fuzzy mining with MapReduce", The 2015 IEEE International Conference on Consumer Electronics - Taiwan (IEEE ICCE-TW), pp. 88-89, 2015, Taiwan.
  • 514. T. P. Hong, L. I. Huang, W. Y. Lin, Y. Y. Liu and G. Chakraborty, "Dynamic migration in multiple ant colonies", The Second IEEE International Conference on Cybernetics (IEEE CYBCONF), pp. 146-150, 2015, Poland.
  • 515. 邱菊添、張慧穎、洪宗貝、曾群偉、邱珮瑜,"應用Kinect於銀髮族互動學習遊戲之開發與設計", The 2015 Symposium on Digital Life Technologies (DLT), pp. 707-712, 2015, Taiwan.
  • 516. C. W. Lin, W. S. Gan, T. P. Hong and V. S. M. Tseng, "HEWIM: high expected weighted itemset mining in uncertain databases", The International Conference on Machine Learning and Cybernetics (ICMLC), pp. 439-444, 2015, China.
  • 517. C. W. Lin, W. S. Gan, P. Fournier-Viger and T. P. Hong, "Mining high-utility itemsets with multiple minimum utility thresholds", The Eighth International C* Conference on Computer Science & Software Engineering (C3S2E), pp. 9-17, 2015, Japan.
  • 518. T. P. Hong, S. G. Lee, B. C. Chien and S. L. Wang "Agent-based DNS client caching for reducing latency of web access", The Tenth International Conference on Innovative, Computing, Information and Control (ICICIC), 2015, China.
  • 519. C. W. Lin, T. Y. Wu, P. Fournier-Viger, G. Lin, T. P. Hong, and J. S. Pan, "A sanitization approach of privacy preserving utility mining", The 2015 Ninth International Conference on Genetic and Evolutionary Computing (ICGEC), pp. 47-57, 2015, Myanmar. (Best Paper Award)
  • 520. Y. C. Tsai, S. L. Wang, T. P. Hong and H. Y. Kao, “Extending [k1, k2] anonymization of shortest paths for social networks", The Second Multidisciplinary International Social Networks Conference (MISNC), pp. 187- 199, 2015, Japan.
  • 521. C. W. Lin, L. Yang, P. Fournier-Viger, M. T. Wu, T. P. Hong and S. L. Wang “A swarm-based approach to mine high-utility itemsets", The Second Multidisciplinary International Social Networks Conference (MISNC), pp. 572-581, 2015, Japan.
  • 522. T. P. Hong, J. C. Chen, W. Y. Lin and C. H. Chen, "Analysis of parallel sub-swarm PSO with the same total particle numbers", The Sixth International Workshop on Intelligent Sensors and Smart Environments (ISSE) in conjunction with The 17th International Conference on Network-Based Information Systems (NBiS), pp. 616-619, 2015, Taiwan.
  • 523. M. T. Tran, B. Le, B. Vo and T. P. Hong, "An approach for mining non-redundant sequential rules efficiently", The Second National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS), pp. 277-282, 2015, Vietnam.
  • 524. C. W. Lin, W. S. Gan, P. Fournier-Viger and T. P. Hong, "Mining weighted frequent itemsets with the recency constraint", The 17th Asia-Pacific Web Conference (APWeb), pp. 635-646, 2015, China.
  • 525. C. W. Lin, L. Yang, P. Fournier-Viger, M. T. Wu, T. P. Hong and S. L. Wang “A swarm-based sanitization approach for hiding confidential itemsets", The Eleventh International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP), pp. 227-230, 2015, Australia.
  • 526. C. W. Lin, W. S. Gan, P. Fournier-Viger, T. P. Hong and V. S. M. Tseng, "Mining high-utility itemsets with various discount strategies", The 2015 IEEE/ACM International Conference on Data Science and Advanced Analytics (DSAA), pp. 1-10, 2015, France.
  • 527. S. L. Wang, M. J. Hsiu, I. H. Ting and T. P. Hong, “Toward analyzing privacy and utility of mobile user data", The Fourth ASE International Conference on Social Informatics, 2015, Taiwan.
  • 528. C. W. Lin, W. S. Gan, P. Fournier-Viger, T. P. Hong and V. S. M. Tseng, "Mining potential high-utility itemsets over uncertain databases", The Fifth ASE International Conference on Big Data, 2015, Taiwan.
  • 529. R. Devi, T. P. Hong, S. R. Kannan and S. Ramathilagam, “Fuzzy clustering systems in analyzing high dimensional database”, The Fifth ASE International Conference on Big Data, 2015, Taiwan.
  • 530. C. W. Lin, W. S. Gan and T. P. Hong, "A fast algorithm to maintain the discovered high-utility itemsets with modified records", The 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 2573-2578, 2015, Hong Kong.
  • 531. D. H. Nguyen, B. Vo, T. H. M. Nguyen and T. P. Hong, "An improved algorithm for mining frequent weighted itemsets", The 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 2579-2584, 2015, Hong Kong.
  • 532. 劉育瑒和洪宗貝,"運用MapReduce架構之平行遺傳模糊資料探勘", 台灣網路智能學會第五屆學術論壇, 2015, Taiwan. (Poster)
  • 533. C. W. Lin, T. Li, P. Fournier-Viger and T. P. Hong, "A fast algorithm for mining fuzzy frequent itemsets", The 2015 International Conference on Fuzzy System and Data Mining (FSDM), 2015, China.
  • 534. T. P. Hong, M. T. Wu, Y. K. Li and C. H. Chen, "Mining fuzzy concept-drift patterns from quantitative database change", The 2015 International Conference on Fuzzy Theory and Its Applications (iFUZZY), pp. 231-234, 2015, Taiwan.
  • 535. C. H. Chen, Y. Li and T. P. Hong, "Type-2 genetic-fuzzy mining with tuning mechanism", The 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI), pp. 296-299, 2015, Taiwan.
  • 536. T. P. Hong, J. C. Chen and W. Y. Lin, “A dynamic migration mechanism of particle swarm optimization", The 2015 National Computer Symposium (NCS), 2015, Taiwan. (Best Paper Award)
  • 537. C. W. Lin, X. B. Lv, P. Fournier-Viger, T. Y. Wu and T. P. Hong, "Efficient mining of fuzzy frequent itemsets with type-2 membership functions", The Eighth Asian Conference on Intelligent Information and Database Systems (ACIIDS), Part II, pp. 191- 200, 2016, Vietnam.
  • 538. T. P. Hong, M. T. Wu, Y. K. Li and C. H. Chen, "Mining drift of fuzzy membership functions", The Eighth Asian Conference on Intelligent Information and Database Systems (ACIIDS), Part II, pp. 211-218, 2016, Vietnam.
  • 539. C. W. Lin, W. S. Gan, P. Fournier-Viger and T. P. Hong, "Mining discriminative high utility patterns", The Eighth Asian Conference on Intelligent Information and Database Systems (ACIIDS), Part II, pp. 219-229, 2016, Vietnam.
  • 540. C. W. Lin, W. S. Gan, P. Fournier-Viger and T. P. Hong, "Efficient algorithms for mining recent weighted frequent itemsets in temporal transactional databases", The 31st ACM Symposium on Applied Computing (SAC), pp. 861-866, 2016, Italy.
  • 541. J. H. Su, T. P. Hong, Y. T. Chang and H. Y. Tung, "Un-supervised, semi-supervised and supervised image retrieval based on conceptual features", The 2016 IEEE International Conference on Multimedia Big Data (IEEE BigMM), pp. 129-132, 2016, Taiwan.
  • 542. 洪宗貝、朱世祺、邱國豪、簡嘉和、楊東祐, "結合音樂與情緒之樂曲改編系統", The Tenth International Conference on Advanced Information Technologies & The 6th Forum on Taiwan Association for Web Intelligence Consortium (AIT/WI), pp. 975-980, 2016, Taiwan.
  • 543. J. N. Huang, T. P. Hong and M. C. Chiang, "An effective method for approximate representation of frequent itemsets", The Ninth Annual Meeting of Asian Association for Algorithms and Computation (AAAC), 2016, Taiwan.
  • 544. T. P. Hong, P. S. Liu, Y. C. Peng and W. Y. Lin, "Interleaving ACO and GA for optimization problems", The 2016 Conference on Information Technology and Applications in Outlying Islands (ITAOI), pp. 405-408, 2016, Taiwan.
  • 545. C. W. Lin, W. S. Gan, P. Fournier-Viger, T. P. Hong and V. S. M. Tseng, "Efficient mining of uncertain data for high-utility itemsets", The The 17th International Conference on Web-Age Information Management (WAIM), Part 1, pp. 17-30, 2016, China.
  • 546. 邱菊添、劉豐榮、曾羣偉、洪宗貝、邱珮瑜,"運用資料探勘技術動態調整遊戲設計之研究", The 2016 Symposium on Digital Life Technologies (DLT), pp. 947-953, 2016, Taiwan. (Good Paper Award)
  • 547. T. P. Hong, Y. Y. Liu, M. T. Wu, C. T. Chiu and S. L. Wang, "Using MapReduce for fuzzy FP-growth", The 2016 Cloud Computing and Big Data Analysis Conference (CCBDA), 2016, Taiwan.
  • 548. C. W. Lin, T. Li, P. Fournier-Viger, T. P. Hong and J. H. Su, "Efficient mining of high average-utility itemsets with multiple minimum thresholds", The 15th Industrial Conference on Data Mining (ICDM), pp. 14-28, 2016, USA.
  • 549. J. N. Huang, T. P. Hong and M. C. Chiang, "Building reference itemsets by a prefix tree for approximately recovering supports of frequent itemsets", The Sixth National Conference on Web Intelligence and Applications (NCWIA), 2016, Taiwan.
  • 550. C. W. Lin, W. S. Gan, P. Fournier-Viger and T. P. Hong, "Efficient mining of weighted frequent itemsets in uncertain databases", The 12th International Conference on Machine Learning and Data Mining (MLDM) , pp. 236-250, 2016, USA.
  • 551. C. W. Lin, T. Li, P. Fournier-Viger, T. P. Hong and J. H. Su, "Fast algorithms for mining multiple fuzzy frequent itemsets", The 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 2113-2119, 2016, Canada.
  • 552. C. H. Chen, C. Y. Lu, T. P. Hong and J. H. Su, "Using grouping genetic algorithm to mine diverse group stock portfolios", The 2016 IEEE Congress on Evolutionary Computation (CEC), pp. 4734-4738, 2016, Canada.
  • 553. C. W. Lin, T. Li, P. Fournier-Viger, T. P. Hong and M. Voznak, "Efficient mining of high average-utility itemset", The International Conference on Communication, Management and Information Technology (ICCMIT), 2016, Italy.
  • 554. C. W. Lin, Q. Liu, P. Fournier-Viger, T. P. Hong, J. Zhan and M. Voznak, "An efficient anonymous system for transaction data", The Third Multidisciplinary International Social Networks Conference (MISNC), 2016, USA.
  • 555. C. W. Lin, J. Zhang, P. Fournier-Viger, T. P. Hong, C. M. Chen and J. H. Su, "Efficient mining of short periodic high-utility itemsets", The 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 3083- 3088, 2016, Hungary.
  • 556. T. P. Hong, Y. Y. Liu, M. T. Wu, C. H. Chen and S. L. Wang, "Genetic-fuzzy mining with MapReduce", The 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 3294-3298, 2016, Hungary.
  • 557. T. P. Hong, Y. C. Peng and W. Y. Lin, "Multi-population genetic algorithm with hierarchical execution", The 2016 International Conference on Fuzzy Theory and Its Applications (iFUZZY), pp. 122-125, 2016, Taiwan.
  • 558. T. P. Hong, T. T. Shih, C. W. Lin and B. Vo, "Merging two sets of erasable itemsets," The 2016 International Computer Symposium (ICS), pp. 90-93, 2016, Taiwan.
  • 559. M. Asadollahpour-Chamazi, T. P. Hong and H. Motameni, "Finding the activity of genes from large gene-expression data sets", The 6th Iranian Conference on Bioinformatics (ICB), p. 100, 2016, Iran.
  • 560. C. H. Chen, J. Coupe and T. P. Hong, "Optimizing diverse group stock portfolio without setting a number of groups", The 31-th IEEE International Conference on Advanced Information Networking and Applications (AINA), pp. 594-598, 2017, Taiwan.
  • 561. J. H. Su, T. P. Hong, C. Y. Chin, Z. F. Liao and S. Y. Cheng, "A high-performance algorithm for mining repeating patterns", The Ninth Asian Conference on Intelligent Information and Database Systems (ACIIDS), Vol. 1, pp. 631–640, 2017, Japan.
  • 562. 蘇家輝、洪宗貝和陳雨棠,"利用SVM和語意特徵協助音樂搜尋", The 2017 Conference on Information Technology and Applications in Outlying Islands (ITAOI), 2017, Taiwan.
  • 563. J. H. Su, T. P. Hong and Y. T. Chen, "Fast music retrieval with advanced acoustic features", The 2017 IEEE International Conference on Consumer Electronics - Taiwan (IEEE ICCE-TW), pp. 359–360, 2017, Taiwan.
  • 564. T. P. Hong, Y. C. Peng, W. Y. Lin and S. L. Wang, "Migration effect of hierarchical multi-population genetic algorithm", The Third IEEE International Conference on Cybernetics (IEEE CYBCONF), pp. 350–353, 2017, UK.
  • 565. C. H. Chen, W. Y. Shen, T. P. Hong and J. H. Su, "An island-based algorithm for group stock portfolio optimization", The Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS), 2017, Japan.
  • 566. T. P. Hong, K. Y. Lin, C. W. Lin and B. Vo, "An incremental mining algorithm for erasable itemsets," The 2017 IEEE International Conference on Innovations in Intelligent Systems and applications (INISTA), 2017, Poland.
  • 567. T. P. Hong, J. H. Hsu, G. C. Lan, K. J. Yang, S. L. Wang and C. W. Lin, "High utility partial periodic pattern mining", The Fourth Multidisciplinary International Social Networks Conference (MISNC), 2017, Thailand.
  • 568. C. W. Lin, S. Ren, P. Fournier-Viger and T. P. Hong, "Mining of high average-utility itemsets with a tighter upper-bound model", The Fourth Multidisciplinary International Social Networks Conference (MISNC), 2017, Thailand.
  • 569. W. M. Huang, T. P. Hong, G. C. Lan, M. C. Chiang and C. W. Lin, "Mining erasable itemsets using bitmap representation", The Eleventh International Conference on Genetic and Evolutionary Computing (ICGEC), 2017, Taiwan.
  • 570. T. Y. Wu, C. W. Lin, Y. Shao, P. Fournier-Viger, T. P. Hong, "Updating the discovered high average-utility patterns with transaction insertion", The Eleventh International Conference on Genetic and Evolutionary Computing (ICGEC), 2017, Taiwan.
  • 571. T. P. Hong, J. H. Hsu, K. J. Yang, G. C. Lan, C. W. Lin and S. L. Wang, "Mining high utility partial periodic pattern by GPA", The 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017, Canada.