Journal Papers

  • 1. T. P. Hong and S. S. Tseng, "On parallel processing of machine learning," Proceeding of the National Science Council (Part A), Vol. 15, No. 5, 1991, pp. 421-431. (EI)
  • 2. T. P. Hong and S. S. Tseng, "Parallel perceptron learning on a single-channel broadcast communication model," Parallel Computing, Vol. 18, 1992, pp. 133-148. (SCI)
  • 3. T. P. Hong and S. S. Tseng, "A Probabilistic perceptron learning algorithm," Journal of Experimental & Theoretical Artificial Intelligence, Vol. 4, 1992, pp. 265-279. (SCI)
  • 4. T. P. Hong and S. S. Tseng, "Learning concepts in parallel based upon the strategy of version space," IEEE Transactions on Knowledge and Data Engineering, Vol. 6, No. 6, 1994, pp. 857-867. (SCI)
  • 5. T. P. Hong and S. S. Tseng, "An optimal parallel perceptron learning algorithm for a large training set," Parallel Computing, Vol. 20, 1994, pp. 347-352. (SCI)
  • 6. C. H. Wang, S. S. Tseng and T. P. Hong, "Design of a self-adaptive brain tumor diagnosis system," Journal of Information Science and Engineering, Vol. 11, 1995, pp. 275-294. (SCI)
  • 7. T. P. Hong and S. S. Tseng, "Learning disjunctive concepts by the version space strategy," Proceeding of the National Science Council (Part A), Vol. 19, No. 6, 1995, pp. 564-573. (EI)
  • 8. T. P. Hong, J. J. Lee and S. S. Tseng, "A new parallel back-propagation learning algorithm for classification," Neural, Parallel & Scientific Computations, Vol. 4, No. 1, 1996, pp. 83-96. (INSPEC)
  • 9. T. P. Hong, "Design of a fuzzy expert system on traveling schedule," Journal of Kaohsiung Polytechnic Institute, Vol. 3, 1996, pp. 287-293.
  • 10. K. C. Chang, T. P. Hong and S. S. Tseng, "Machine Learning by Imitating Human Learning," Minds and Machines, Vol.6, No. 2, 1996, pp. 203-228. (SCI)
  • 11. T. P. Hong and C. Y. Lee, "Induction of fuzzy rules and membership functions from training examples," Fuzzy Sets and Systems, Vol. 84, 1996, pp. 33-47. (SCI)
  • 12. C. H. Wang, T. P. Hong and S. S. Tseng, "Self-integrating knowledge-based brain tumor diagnostic system," Expert Systems with Applications, Vol. 11, No. 3, 1996, pp. 351-360. (SCI)
  • 13. R. H. Hou, T. P. Hong, S. S. Tseng and S. Y. Kuo, "A new probabilistic induction method," Journal of Automated Reasoning, Vol. 18, 1997, pp. 5-24. (SCI)
  • 14. T. P. Hong and S. S. Tseng, "A generalized version space learning algorithm for noisy and uncertain data," IEEE Transactions on Knowledge and Data Engineering, Vol. 9, No. 2, 1997, pp. 336-340. (SCI)
  • 15. T. P. Hong, "A modified back-propagation learning algorithm for control problems," Journal of I-Shou University, Vol. 4, 1997, pp. 31-43.
  • 16. T. P. Hong and C. C. Shiue, "Design of decision support systems on multiple platforms," Journal of I-Shou University, Vol. 4, 1997, pp. 175-186.
  • 17. 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," 鋼鐵資訊 (Steel Monthly), September, 1997, pp. 14-25.
  • 18. T. P. Hong, C. H. Wang, and S. S. Tseng, "Generation of decision trees for generalized learning problems," International Journal of Information Management and Engineering, Vol. 2, No. 2, 1997, pp. 35-53.
  • 19. C. H. Wang, T. P. Hong, and S. S. Tseng, "A new hybrid learning algorithm for nonlinear boundaries," Journal of Information Science and Engineering, Vol. 14, No. 2, 1998, pp. 305-325. (SCI)
  • 20. T. P. Hong and S. S. Tseng, "Primal-dual version spaces: an approach to disjunctive concept acquisition," Journal of Information Science and Engineering, Vol. 14, No. 2, 1998, pp. 327-345. (SCI)
  • 21. T. P. Hong and H. S. Wang, "Automatically adjusting crossover ratios of multiple crossover operators," Journal of Information Science and Engineering, Vol. 14, No. 2, 1998, pp. 369-390. (SCI)
  • 22. T. P. Hong, C. M. Huang and K. M. Yu, "LPT scheduling for fuzzy tasks," Fuzzy Sets and Systems, Vol. 97, No. 3, 1998, pp. 277-286. (SCI)
  • 23. T. P. Hong, C. H. Wang and S. S. Tseng, "Trade-off between Requirement of Learning and Computational Cost," IEICE Transactions on Information and Systems, Vol. E81-D, No. 6, 1998, pp. 565-571. (SCI)
  • 24. C. H. Wang, T. P. Hong, S. S. Tseng and C. M. Liao, "Automatically integrating multiple rules sets in a distributed-knowledge environment," IEEE Transactions on Systems, Man, and Cybernetics, Part B, Vol. 28, No. 3, 1998, pp. 471-476. (SCI)
  • 25. C. H. Wang, T. P. Hong and S. S. Tseng, "A tree-net classifier for non-linear boundary problems," Proceeding of the National Science Council (Part A), Vol. 22, No. 4, 1998, pp. 509-516. (EI)
  • 26. T. P. Hong and W. C. Chen, "Fuzzy flexible-flow shops at two machine centers," Journal of Advanced Computational Intelligence, Vol. 2, No. 4, 1998, pp. 142-149.
  • 27. T. P. Hong, "HELP - A handy environment for learning Pascal," Journal of I-Shou University, Vol. 5, 1998, pp. 235-240.
  • 28. T. P. Hong and J. J. Lee, "A nearly optimal back-propagation learning algorithm on a bus-based architecture," Parallel Processing Letters, Vol. 8, No. 3, 1998, pp. 297-306. (EI)
  • 29. T. P. Hong and T. N. Chuang, "Fuzzy scheduling on two-machine flow shop," Journal of Intelligent & Fuzzy Systems, Vol. 6, 1998, pp. 471-481. (SCI)
  • 30. T. P. Hong and T. N. Chuang, "Fuzzy CDS scheduling for flow shops with more than two machines," Journal of Intelligent & Fuzzy Systems, Vol. 6, 1998, pp. 483-494. (SCI)
  • 31. C. H. Wang, T. P. Hong and S. S. Tseng, "Integrating fuzzy knowledge by genetic algorithms," IEEE Transactions on Evolutionary Computation, Vol. 2, No. 4, 1998, pp. 138-149. (SCI)
  • 32. C. H. Wang, J. F. Liu, T. P. Hong and S. S. Tseng, "A fuzzy inductive learning strategy for modular rules," Fuzzy Sets and Systems, Vol. 103, No. 1, 1999, pp. 91-105. (SCI)
  • 33. T. P. Hong and J. B. Chen, "Finding relevant attributes and membership functions," Fuzzy Sets and Systems, Vol. 103, No. 3, 1999, pp. 389-404. (SCI)
  • 34. T. P. Hong and T. N. Chuang, "Fuzzy Palmer scheduling for flow shops with more than two machines," Journal of Information Science and Engineering, Vol. 15, No. 3, 1999, pp. 397-406. (SCI)
  • 35. T. P. Hong and T. N. Chuang, "A new triangular fuzzy Johnson algorithm," Computers & Industrial Engineering, Vol. 36, No. 1, 1999, pp. 179-200. (SCI)
  • 36. T. P. Hong and C. Y. Lee, "Effect of merging order on performance of fuzzy induction", Intelligent Data Analysis, Vol. 3, No. 2, 1999, pp. 139-151. (SCI)
  • 37. W. C. Chen, T. P. Hong and R. Jeng, "A framework of decision support systems for use on the world-wide-web," Journal of Network and Computer Applications, Vol. 22, No. 1, 1999, pp. 1-17. (SCI)
  • 38. T. P. Hong, C. S. Kuo and S. C. Chi, "Mining association rules from quantitative data", Intelligent Data Analysis, Vol. 3, No. 5, 1999, pp. 363-376. (SCI)
  • 39. T. P. Hong and S. S. Tseng, "Splitting and merging version spaces to learn disjunctive concepts," IEEE Transactions on Knowledge and Data Engineering, Vol. 11, No. 5, 1999, pp. 813-815. (SCI)
  • 40. T. P. Hong and C. Y. Wang, " Speaker-independent Chinese speech recognition using neural networks," Journal of I-Shou University, Vol. 6, 1999, pp. 129-142.
  • 41. T. P. Hong and J. J. Lee, "Parallel neural learning for control problems on a bus-based architecture," International Journal of High Speed Computing, Vol. 10, No. 3, 1999, pp. 257-273. (SCI)
  • 42. W. C. Chen, T. P. Hong and W. Y. Lin, "Three incremental maintenance algorithms on object-oriented data warehousing," MIS Review, Vol. 9, 1999, pp. 73-88.
  • 43. T. P. Hong and J. B. Chen, "Processing individual fuzzy attributes for fuzzy rule induction," Fuzzy Sets and Systems, Vol. 112, No. 1, 2000, pp. 127-140. (SCI)
  • 44. C. H. Wang, T. P. Hong and S. S. Tseng, "Integrating membership functions and fuzzy rule sets from multiple knowledge sources," Fuzzy Sets and Systems, Vol. 112, No. 1, 2000, pp. 141-154. (SCI)
  • 45. W. C. Chen, T. P. Hong and W. Y. Lin, "An uncompressed data model in object-oriented data warehousing," International Journal of Information Management and Engineering, Vol. 3, No. 1, 2000, pp. 36-51.
  • 46. T. P. Hong and S. L. Wang, "Determining appropriate membership functions to simplify fuzzy induction", Intelligent Data Analysis, Vol. 4, No. 1, 2000, pp. 51-66. (SCI)
  • 47. C. H. Wang, T. P. Hong, M. B. Chang and S. S. Tseng, "A coverage-based genetic knowledge-integration strategy," Expert Systems with Applications, Vol. 19, No. 1, 2000, pp. 9-17. (SCI)
  • 48. T. P. Hong, H. S. Wang and W. C. Chen, "Simultaneously applying multiple mutation operators in genetic algorithms," Journal of Heuristics, Vol. 6, No. 4, 2000, pp. 439-455. (SCI)
  • 49. T. P. Hong, T. T. Wang, S. L. Wang and B. C. Chien, "Learning a coverage set of maximally general fuzzy rules by rough sets," Expert Systems with Applications, Vol. 19, 2000, pp. 97-103. (SCI)
  • 50. T. P. Hong, T. T. Wang and S. L. Wang, "Knowledge acquisition from quantitative data using the rough-set theory," Intelligent Data Analysis, Vol. 4, 2000, pp. 289-304. (SCI)
  • 51. S. L. Wang and T. P. Hong, "Incomplete input inference on fuzzy production systems supported by Petri nets," International Journal on Artificial Intelligence Tools, Vol. 9, No. 4, 2000, pp. 537-549. (SCI)
  • 52. T. P. Hong and C. Y. Lee, "Implementation of fuzzy learning from examples," Intelligent Automation and Soft Computing, Vol. 6, No. 4, 2000, pp. 261-269. (SCI)
  • 53. T. P. Hong, K. L. Wu, L. H. Wan, C. E. Tsai and H. C. Lu, "Integrating applications of campus internet and intranet," Journal of I-Shou University, Vol. 7, pp. 245-257, 2000.
  • 54. T. P. Hong and T. T. Wang, "Fuzzy flexible flow-shops at two machine centers for continuous fuzzy domains," Information Sciences, Vol. 129, 2000, pp. 227-237. (SCI)
  • 55. C. H. Wang, T. P. Hong and S. S. Tseng, "A genetics-based approach for knowledge integration and refinement," Journal of Information Science and Engineering, Vol. 17, No. 1, 2001, pp. 85-94. (SCI)
  • 56. L. P. Liu, J. S. Lue, Y. C. Lee and T. P. Hong, "Design of a virtual museum framework with exhibition flexibility", Journal of Internet Technology, Vol. 2, No. 1, 2001, pp. 69-73. (EI)
  • 57. W. C. Chen, T. P. Hong and W. Y. Lin, "Three maintenance algorithms for compressed object-oriented data warehousing," International Journal of Computers & Applications, Vol. 23, No. 1, 2001, pp. 68-75. (EI)
  • 58. T. P. Hong, C. M. Huang and K. M. Yu, "Three heuristic LPT scheduling methods for continuous fuzzy domains," International Journal of Knowledge-based Intelligent Engineering Systems, Vol. 5, No. 2, 2001, pp. 100-111. (EI)
  • 59. T. P. Hong, K. Y. Huang and W. Y. Lin, "Adversarial search by evolutionary computation," Evolutionary Computation, Vol. 9, No. 3, 2001, pp. 371-385. (SCI)
  • 60. T. P. Hong, C. Y. Wang and Y. H. Tao, "A new incremental data mining algorithm using pre-large itemsets," Intelligent Data Analysis, Vol. 5, No. 2, 2001, pp. 111-129. (SCI)
  • 61. S. L. Wang, J. S. Tsai and T. P. Hong, "Discovering functional dependencies from similarity-based fuzzy relational databases", Intelligent Data Analysis, Vol. 5, No. 2, 2001, pp. 131-149. (SCI)
  • 62. T. P. Hong, T. T. Wang and B. C. Chien, "Mining approximate coverage rules," International Journal of Fuzzy Systems, Vol. 3, No. 2, 2001, pp. 409-414. (SCI)
  • 63. T. P. Hong and T. T. Wang, "A heuristic flexible flow-shop scheduling algorithm," Journal of Technology, Vol. 16, No. 1, 2001, pp. 149-154.
  • 64. T. P. Hong, C. S. Kuo and S. C. Chi, "Trade-off between computation time and number of rules for fuzzy mining from quantitative data," International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, Vol. 9, No. 5, 2001, pp. 587-604. (SCI)
  • 65. S. L. Wang, Y. C. Chen, T. P. Hong and B. C. Chien, "Validation and data mining of inclusion dependencies in database reverse engineering," Journal of Information Management, Vol. 3, No. 2, 2001, pp. 1-18. (TSSCI)
  • 66. Y. T. Hsu, T. P. Hong and S. S. Tseng, "Learning concepts by arranging appropriate training order," Minds and Machines, Vol. 11, 2001, pp. 399-415. (SCI)
  • 67. T. P. Hong, T. T. Wang and S. L. Wang, "A Palmer-based continuous fuzzy flexible flow-shop scheduling algorithm", Soft Computing, Vol. 5, No. 6, 2001, pp. 426-433. (SCI)
  • 68. T. P. Hong and T. T. Wang, "Palmer-based fuzzy flexible flow-shop scheduling," Journal of Fuzzy Mathematics, Vol. 9, No. 4, 2001, pp. 953-967.
  • 69. T. P. Hong, P. C. Luh, F. S. Yang and S. Y. Su, "Design of virtual reality for campus buildings," Journal of I-Shou University, Vol. 8, 2001, pp. 227-241.
  • 70. T. P. Hong, C. L. Wang and S. L. Wang, "Solving flexible flow-shop problems by combining LPT and Gupta scheduling algorithms", Hybrid Methods in Engineering, Vol. 3, No. 1, 2001, pp. 75-87.
  • 71. S. L. Wang, T. P. Hong and W. Y. Lin, "Answering null queries by analogical reasoning on similarity-based fuzzy relational databases," Journal of Advanced Computational Intelligence, Vol. 5, No. 3, 2001, pp. 163-171.
  • 72. T. P. Hong, T. T. Wang and S. L. Wang, "A fuzzy CDS-based scheduling algorithm for more than two machine centers," Journal of Advanced Computational Intelligence, Vol. 5, No. 4, 2001, pp. 239-245.
  • 73. T. P. Hong, H. S. Wang, W. Y. Lin and W. Y. Lee, "Evolution of appropriate crossover and mutation operators in a genetic process," Applied Intelligence, Vol. 16, No. 1, 2002, pp. 7-17. (SCI)
  • 74. T. P. Hong and T. N. Chuang, "Palmer scheduling for continuous fuzzy domains of task time," International Journal of Fuzzy Systems, Vol. 4, No. 1, 2002, pp. 639-647. (SCI)
  • 75. T. P. Hong, L. H. Tseng and S. L. Wang, "Learning rules from incomplete training examples by rough sets," Expert Systems with Applications, Vol. 22, No. 4, 2002, pp. 285-293. (SCI)
  • 76. T. P. Hong, C. L. Wang and C. H. Yeh, "Analysis of financial time series volatility using the GM(1,1) model and sliding windows," Journal of the Chinese Grey System Association, Vol. 5, No. 1, 2002, pp. 29-39.
  • 77. T. P. Hong, K. Y. Lin and S. L. Wang, "Mining a complete set of interesting generalized fuzzy association rules", Communication of IICM (Institute of Information and Computing Machinery), Vol. 5, No. 2, 2002, pp. 27-32.
  • 78. T. P. Hong, K. Y. Huang and W. Y. Lin, "Applying genetic algorithms to game search trees," Soft Computing, Vol. 6, No. 3, 2002, pp. 277-283. (SCI)
  • 79. B. C. Chien, J. Y. Lin and T. P. Hong, "Learning discriminant functions with fuzzy attributes for classification using genetic programming", Expert Systems with Applications, Vol. 23, No. 1, 2002, pp. 31-37. (SCI)
  • 80. T. P. Hong, K. Y. Lin and S. L. Wang, "Mining linguistic browsing patterns in the world wide web," Soft Computing, Vol. 6, No. 5, 2002, pp. 329-336. (SCI)
  • 81. T. P. Hong, C. S. Kuo, S. C. Chi and S. L. Wang, "A fuzzy AprioriTid mining algorithm," International Mathematical Journal, Vol. 2, No. 11, 2002, pp. 1089-1117.
  • 82. C. Y. Wang, T. P. Hong and S. S. Tseng, "Maintenance of discovered sequential patterns for record deletion," Intelligent Data Analysis, Vol. 6, No. 5, 2002, pp. 399-410. (SCI)
  • 83. 吳有龍, 洪宗貝, 王榮志, 姚政佑, 鄭國宏, 侯坤志, 王建清, 顏良安和楊宗龍, "Web-Based醫療影像傳輸管理系統與電子病歷之整合與建構", Communication of IICM (Institute of Information and Computing Machinery), Vol. 5, No. 4, 2002, pp. 113-123.
  • 84. W. C. Chen, S. S. Tseng, L. P. Chang, T. P. Hong and M. F. Jiang, "A parallelized indexing method for large-scale case-based reasoning", Expert Systems with Applications, Vol. 23, No.2, pp. 95-102, 2002. (SCI)
  • 85. B. C. Chien, Z. L. Lin, Y. X. Chen and T. P. Hong, "An algorithm of granulation on numeric attributes for association rules mining", Archives of Control Science, Vol. 12, No. 4, 2002, pp. 379-395. (EI)
  • 86. T. P. Hong, K. Y. Lin and B. C. Chien, "Mining fuzzy multiple-level association rules from quantitative data," Applied Intelligence, Vol. 18, No. 1, 2003, pp. 79-90. (SCI)
  • 87. T. P. Hong, A. C. Tseng, W. Y. Chiu, Y. T. Chang-Chien, H. C. Chang and W. K. Yeh, "A framework and applications of integrating IC cards and campus information systems," Journal of I-Shou University, Vol. 10, 2003, pp. 115-146.
  • 88. C. H. Wang, C. J. Tsai, T. P. Hong and S. S. Tseng, "Fuzzy inductive learning strategies," Applied Intelligence, Vol. 18, No. 2, 2003, pp. 179-193. (SCI)
  • 89. T. P. Hong, K. Y. Lin and S. L. Wang, "Fuzzy data mining for interesting generalized association rules," Fuzzy Sets and Systems, Vol. 138, No. 2, 2003, pp. 255-269. (SCI)
  • 90. W. Y. Lin, W. Y. Lee and T. P. Hong, "Adapting crossover and mutation rates in genetic algorithms," Journal of Information Science and Engineering, Vol. 19, No. 5, 2003, pp. 889-903. (SCI)
  • 91. T. P. Hong, K. Y. Lin and S. L. Wang, "Mining fuzzy generalized association rules from quantitative data under fuzzy taxonomic structures", International Journal of Fuzzy Systems, Vol. 5, No. 4, 2003, pp. 239-246. (SCI)
  • 92. 洪宗貝和李詠騏, "模糊理論於機器學習和資料挖掘之應用", Chung Hua Journal of Science and Engineering, Vol. 1, No. 1, 2003, pp. 1-7.
  • 93. T. P. Hong, S. P. Wang, T. C. Wang and B. C. Chien, "A fuzzy image matching algorithm with linguistic spatial queries," WSEAS Transactions on Systems, Vol. 3, No. 1, 2004, pp. 254-259. (EI)
  • 94. W. S. Lo, T. P. Hong, S. L. Wang and Y. H. Tao, "Semantic web and multiple- agents in SCM," International Journal for Electronic Business Management, Vol. 2, No. 2, 2004, pp. 122-130. (INSPEC)
  • 95. W. S. Lo, S. L. Wang and T. P. Hong, “A bottom up discovery of generalized web browsing patterns,” WSEAS Transactions on Information Science and Applications, Vol. 1, No. 1, 2004, pp. 341-345. (EI)
  • 96. T. P. Hong, C. S. Kuo and S. L. Wang, "A fuzzy AprioriTid mining algorithm with reduced computational time", Applied Soft Computing, Vol. 5, 2004, pp. 1-10. (SCI)
  • 97. T. P. Hong, T. J. Huang and C. S. Chang, "Maintenance of generalized association rules based on pre-large concepts", WSEAS Transactions on Systems, Vol. 3, No. 4, pp. 1585-1590, 2004. (EI)
  • 98. Y. H. Tao, T. P. Hong and S. I. Sun, "An XML implementation process model for enterprise applications," Computers in Industry, Vol. 55, No. 2, pp. 181-196, 2004. (SCI)
  • 99. Y. C. Lee, T. P. Hong and W. Y. Lin, "Mining association rules with multiple minimum supports using maximum constraints," International Journal of Approximate Reasoning, Vol. 40, No. 1, 2005, pp. 44-54. (SCI)
  • 100. T. P. Hong, P. Y. Huang, G. Horng and C. Y. Kao, "Solving flexible flow-shop group scheduling problems by the PT algorithm", WSEAS Transactions on Mathematics, Vol. 4, No. 4, pp. 506-513, 2005. (INSPEC)
  • 101. 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", Communications of IICM (Institute of Information and Computing Machinery), Vol. 8, No. 4, pp. 39-51, 2005.
  • 102. T. P. Hong and T. N. Chuang, "Fuzzy Gupta scheduling for flow shops with more than two machines," International Journal of Computers and Applications, Vol. 27, No. 3, pp. 169-177, 2005. (EI)
  • 103. P. Y. Huang, T. P. Hong and C. Y. Kao, "Single-pass-based heuristic algorithms for group flexible flow-shop scheduling problems", WSEAS Transactions on Information Science and Applications, Vol. 3, No. 5, pp. 905-914, 2006. (INSPEC)
  • 104. C. Y. Wang, S. S. Tseng and T. P. Hong, "Flexible online association rule mining based on the multidimensional pattern relation," Information Sciences, Vol. 176, No. 12, pp. 1752-1780, 2006. (SCI)
  • 105. P. Y. Huang, T. P. Hong and G. Horng, "Using the LPT and the Palmer approaches to solve group flexible flow-shop problems", International Journal of Computer Science & Network Security, Vol. 6, No. 3A, pp. 98-104, 2006.
  • 106. T. P. Hong, M. J. Chiang and S. L. Wang, "Mining weighted linguistic browsing patterns from log data on web servers", GESTS International Transactions on Computer Science and Engineering, Vol. 29, No. 1, pp. 53-64, 2006. (invited)
  • 107. T. P. Hong, G. Horng, P. Y. Huang and C. L. Wang, "Solving flexible flow-shop problems by LPT and LN scheduling algorithms", International Mathematical Forum: Journal for Theory and Applications, Vol. 1, No. 9, pp. 403-420, 2006.
  • 108. T. P. Hong, K. Y. Lin and S. L. Wang, “Mining fuzzy sequential patterns from quantitative transactions", Soft Computing, Vol. 10, No. 10, pp. 925-932, 2006. (SCI)
  • 109. 王文鴻, 王乾隆和洪宗貝, "利用基因演算法解決感知網路生成密鑰之能源消耗問題", Communications of the CCISA (Chinese Cryptology and Information Security Association), Vol. 12, No. 3, pp. 27-38, 2006.
  • 110. T. P. Hong, C. H. Chen, Y. L. Wu and Y. C. Lee, "A GA-based fuzzy mining approach to achieve a trade-off between number of rules and suitability of membership functions", Soft Computing, Vol. 10, No. 11, pp. 1091-1101, 2006. (SCI)
  • 111. C. M. Huang, T. P. Hong and S. J. Horng, “Mobility knowledge discovery in wireless networks", WSEAS Transactions on Communications, Vol. 5, No. 8, pp. 1514-1520, 2006. (INSPEC)
  • 112. Y. H. Tao, T. P. Hong and Y. M. Su, "Improving browsing time estimation with intentional behavior data," International Journal of Computer Science & Network Security, Vol. 6, No. 12, pp. 35-39, 2006.
  • 113. T. P. Hong, M. J. Chiang and S. L. Wang, "Fuzzy weighted data mining from quantitative transactions with linguistic minimum supports and confidences", International Journal of Fuzzy Systems, Vol. 8, No. 4, pp. 173- 182, 2006. (SCI)
  • 114. T. P. Hong, T. T. Wang and S. L. Wang, "Mining fuzzy -certain and -possible rules from quantitative data based on the variable precision rough set model", Expert Systems with Applications, Vol. 32, No. 1, pp. 223-232, 2007. (SCI)
  • 115. C. Y. Wang, S. S. Tseng, T. P. Hong and Y. S. Chu, "Online generation of association rules under multidimensional consideration based on negative-border," Journal of Information Science and Engineering, Vol. 23, No. 1, pp. 233-242, 2007. (SCI)
  • 116. C. M. Huang, T. P. Hong and S. J. Horng, “Mining knowledge from object- oriented instances", Expert Systems with Applications, Vol. 33, No. 2, pp. 441- 450, 2007. (SCI)
  • 117. T. P. Hong, P. Y. Huang and G. Horng, "Trade-off between time complexity and makespan for flexible flow-shop group scheduling problems with two machine centers", Applied Mathematical Sciences, Vol. 1, No. 29, pp. 1399 - 1417, 2007.
  • 118. T. P. Hong, W. Y. Lin, S. M. Liu and J. H. Lin, "Dynamically adjusting migration rates for multi-population genetic algorithms", Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 11, No. 4, pp. 410 - 415, 2007.
  • 119. T. P. Hong and T. J. Huang, "Maintaining generalized association rules for record deletion", WSEAS Transactions on Computer Research, Vol. 2, No. 2, pp. 248 - 254, 2007. (EI)
  • 120. S. L. Wang, D. Patel, A. Jafari and T. P. Hong, "Hiding collaborative recommendation association rules", Applied Intelligence, Vol. 27, No. 1, pp. 67 - 77, 2007. (SCI)
  • 121. S. L. Wang, K. W. Huang, T. C. Wang and T. P. Hong, "Maintenance of informative rule sets for predictions", Intelligent Data Analysis, Vol. 11, pp. 279 - 292, 2007. (SCI)
  • 122. T. P. Hong, P. Y. Huang, G. Horng, and C. L. Wang, "Three algorithms for flexible flow-shop scheduling", American Journal of Applied Sciences, Vol. 4, No. 11, pp. 889 - 896, 2007. (INSPEC).
  • 123. C. S. Kuo, T. P. Hong and C. L. Chen, “Applying genetic programming technique in classification trees", Soft Computing, Vol. 11, No. 12, 2007, pp. 1165-1172. (SCI)
  • 124. W. S. Lo, T. P. Hong and H. J. Hsu, "A case study for global supply chain management in Vietnam", Journal of Supply Chain Management: Research & Practice, Vol. 1, 2007, pp. 12-20. (Invited)
  • 125. T. P. Hong, J. C. Wang and J. H. Lin, “Semantic retrieval of electronic medical records based on concept networks", Journal of Internet Technology, Vol. 8, No. 4, 2007, pp. 423-431. (SCI)
  • 126. Y. C. Lee, T. P. Hong and T. C. Wang, "Multi-level fuzzy mining with multiple minimum supports", Expert Systems with Applications, Vol. 34, No. 1, pp. 459 - 468, 2008. (SCI)
  • 127. T. P. Hong, C. E. Lin, J. H. Lin and S. L. Wang, "Learning cross-level certain and possible rules by rough sets," Expert Systems with Applications, Vol. 34, No. 3, pp. 1698 - 1706, 2008. (SCI)
  • 128. Y. H. Tao, T. P. Hong and Y. M. Su, "Web usage mining with intentional browsing data," Expert Systems with Applications, Vol. 34, No. 3, pp. 1893 – 1904, 2008. (SCI)
  • 129. T. P. Hong, C. W. Lin and Y. L. Wu, “Incrementally fast updated frequent pattern trees", Expert Systems with Applications, Vol. 34, No. 4, pp. 2424 – 2435, 2008. (SCI)
  • 130. W. C. Chen, S. S. Tseng and T. P. Hong, "An efficient bit-based feature selection method", Expert Systems with Applications, Vol. 34, No. 4, pp. 2858 – 2869, 2008. (SCI)
  • 131. T. P. Hong, C. M. Huang and S. J. Horng, “Linguistic object-oriented web usage mining", International Journal of Approximate Reasoning, Vol. 48, No. 1, pp. 47 – 61, 2008. (SCI)
  • 132. T. P. Hong, C. H. Chen, Y. C. Lee and Y. L. Wu, "Genetic-fuzzy data mining with divide-and-conquer strategy", IEEE Transactions on Evolutionary Computation, Vol. 12, No. 2, pp. 252 – 265, 2008. (SCI)
  • 133. T. P. Hong, P. C. Sun and S. D. Li, “A heuristic algorithm for the scheduling problem of parallel machines with mold constraints", WSEAS Transactions on Systems, Vol. 7, 2008. (EI)
  • 134. W. S. Lo, T. P. Hong and R. Jeng, "A framework of e-SCM multi-agent systems in fashion industry," International Journal of Production Economics, Vol. 114, No. 2, pp. 594 – 614, 2008. (SCI)
  • 135. C. S. Kuo, T. P. Hong and C. L. Chen, “An improved knowledge-acquisition strategy based on genetic programming", Cybernetics and Systems, Vol. 39, No. 7, pp. 672 – 685, 2008. (SCI)
  • 136. T. P. Hong, M. J. Chiang and S. L. Wang, "Mining fuzzy weighted browsing patterns from time duration and with linguistic thresholds", American Journal of Applied Sciences, Vol. 5, No. 12, pp. 1611 – 1621, 2008. (INSPEC)
  • 137. T. P. Hong, J. S. Dong and W. Y. Lin, "A modified three-phased object-oriented mining approach for association rules", Journal of Internet Technology, Vol. 9, No. 4, 2008, pp. 385-392. (SCI)
  • 138. S. L. Wang, R. Maskey, A. Jafari and T. P. Hong, "Efficient sanitization of informative association rules", Expert Systems with Applications, Vol. 37, No. 1, 2008. (SCI)
  • 139. T. P. Hong, C. W. Lin and Y. L. Wu, “An efficient FUFP-tree maintenance algorithm for record modification", International Journal of Innovative Computing, Information and Control, Vol. 4, No. 11, 2008, pp. 2875-2888. (SCI)
  • 140. T. P. Hong, T. J. Huang and C. S. Chang, "Efficient maintenance of multiple-level association rules for deletion of records", Journal of Communication and Computer, Vol. 5, No. 12, 2008, pp. 1-9.
  • 141. C. H. Chen, V. S. M. Tseng and T. P. Hong, "Cluster-based evaluation in fuzzy-genetic data mining", IEEE Transactions on Fuzzy Systems, Vol. 16, No. 1, 2008, pp. 249-262. (SCI)
  • 142. T. P. Hong and M. T. Wu, “A hierarchical gene-set genetic algorithm", Journal of Computers, Vol. 3, No. 11, 2008, pp. 67-75. (EI)
  • 143. T. P. Hong, M. C. Hou and Y. L. Wu, "An improved concurrent search algorithm for efficiently finding patients’ locations in medical environments by RFID", Asian Journal of Health and Information Sciences, Vol. 3, No. 1-4, 2008, pp. 1-18. (Invited)
  • 144. Y. H. Tao, T. P. Hong, W. Y. Lin and W. Y. Chiu, “A practical extension of web usage mining with intentional browsing data toward usage”, Expert Systems with Applications Vol. 36, No. 2P2, 2009, pp. 3937-3945. (SCI)
  • 145. C. H. Chen, T. P. Hong and V. S. M. Tseng, "Mining fuzzy frequent trends from time series", Expert Systems with Applications, Vol. 36, No. 2P2, 2009, pp. 4147-4153. (SCI)
  • 146. 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", Soft Computing, Vol. 13, No. 5, 2009, pp. 521-533. (SCI)
  • 147. T. P. Hong, C. Y. Horng, C. H. Wu and S. L. Wang, "An improved data mining approach using predictive itemsets," Expert Systems with Applications, Vol. 36, No. 1, 2009, pp. 72-80. (SCI)
  • 148. T. P. Hong, Y. L. Liou and S. L. Wang, “Fuzzy rough sets with hierarchical quantitative attributes", Expert Systems with Applications, Vol. 36, No. 3P2, 2009, pp. 6790-6799. (SCI)
  • 149. C. W. Lin, T. P. Hong and W. H. Lu, “The Pre-FUFP algorithm for incremental mining”, Expert Systems with Applications, Vol. 36, No. 5, 2009, pp. 9498-9505. (SCI)
  • 150. T. P. Hong, C. W. Lin and Y. L. Wu, “Maintenance of fast updated frequent pattern trees for record deletion", Computational Statistics and Data Analysis, Vol. 53, No. 7, 2009, pp. 2485-2499. (SCI)
  • 151. T. P. Hong, Y. Y. Wu and S. L. Wang, “An effective mining approach for up-to-date patterns", Expert Systems with Applications, Vol. 36, No. 6, 2009, pp. 9747-9752. (SCI)
  • 152. C. H. Chen, T. P. Hong and V. S. M. Tseng, "An improved approach to find membership functions and multiple minimum supports in fuzzy data mining", Expert Systems with Applications, Vol. 36, No. 6, 2009, pp. 10016-10024. (SCI)
  • 153. C. S. Lee, M. H. Wang, G. Chaslot, J. B. Hoock, A. Rimmel, O. Teytaud, S. R. Tsai, S. C. Hsu and T. P. Hong, “The computational intelligence of MoGo revealed in Taiwan’s computer Go tournaments”, IEEE Transactions on Computational Intelligence and AI in Games, Vol. 1, No. 1, 2009, pp. 73-89. (SCI)
  • 154. C. M. Huang, T. P. Hong and S. J. Horng, “Discovering mobile users’ moving behaviors in wireless networks", Expert Systems with Applications, Vol. 36, No. 8, 2009, pp. 10809-10814. (SCI)
  • 155. T. P. Hong and Y. Y. Wu, “Mining of up-to-date effective knowledge", Communication of IICM (Institute of Information and Computing Machinery), Vol. 12, No. 2, pp. 17-26, 2009.
  • 156. T. P. Hong, Y. F. Tung, S. L. Wang, M. T. Wu and Y. L. Wu, “An ACS-based framework for fuzzy data mining", Expert Systems with Applications, Vol. 36, No. 9, 2009, pp. 11844-11852. (SCI)
  • 157. V. S. Tseng, C. H. Chen, P. C. Huang and T. P. Hong, “Cluster-based genetic segmentation of time series with DWT", Pattern Recognition Letters, Vol. 30, No. 13, 2009, pp. 1190-1197. (SCI)
  • 158. G. C. Lan, T. P. Hong and V. S. M. Tseng, "A three-scan mining algorithm for high on-shelf utility itemsets", ICIC Express Letters, Vol. 3, No. 4(B), 2009, pp. 1327-1332. (EI)
  • 159. T. P. Hong, P. C. Wang and Y. C. Lee, "An effective attribute clustering approach for feature selection and replacement", Cybernetics and Systems, Vol. 40, No. 8, 2009, pp. 657-669. (SCI)
  • 160. T. P. Hong and G. N. Shiu, "Solving the K-of-N lifetime problem by PSO", International Journal of Engineering Science and Technology, Vol. 1, No. 1, 2009, pp.136-147.
  • 161. C. L. Wang, T. P. Hong, G. Horng and W. H. Wang, “A GA-based key-management scheme in hierarchical wireless sensor networks", International Journal of Innovative Computing, Information and Control, Vol. 5, No. 12(A), 2009, pp. 4693-4702. (SCI)
  • 162. T. P. Hong, S. S. Jou and P. C. Sun, “Evolutionary computation for minimizing makespan on identical machines with mold constraints", WSEAS Transactions on Systems and Control, Vol. 4, No. 7, 2009, pp. 339-348. (EI)
  • 163. T. P. Hong, C. M. Huang and S. J. Horng, “Discovering fuzzy personal moving profiles in wireless networks", Applied Soft Computing, Vol. 9, No. 2, 2009, pp. 667-676. (SCI)
  • 164. T. P. Hong and C. Y. Wang, "An efficient and effective association-rule maintenance algorithm for record modification," Expert Systems with Applications, Vol. 37, No. 1, 2010, pp. 618-626. (SCI)
  • 165. K. M. Yu, J. Y. Zhou, T. P. Hong and J. L. Zhou, "A load-balanced distributed parallel mining algorithm," Expert Systems with Applications, Vol. 37, No. 3, 2010, pp. 2459-2464. (SCI)
  • 166. T. P. Hong, L. H. Tseng and B. C. Chien, "Mining from incomplete quantitative data by fuzzy rough sets," Expert Systems with Applications, Vol. 37, No. 3, 2010, pp. 2644-2653. (SCI)
  • 167. C. W. Lin, T. P. Hong and W. H. Lu, “Using the structure of prelarge trees to incrementally mine frequent itemsets", New Generation Computing, Vol. 28, No. 1, pp. 5-20, 2010. (SCI)
  • 168. S. L. Wang, T. Z. Lai, T. P. Hong and Y. L. Wu, "Hiding collaborative recommendation association rules on horizontally partitioned data", Intelligent Data Analysis, Vol. 14, No. 1, pp. 47-67, 2010. (SCI)
  • 169. C. W. Lin, T. P. Hong and W. H. Lu, “Linguistic data mining with fuzzy FP-trees", Expert Systems with Applications, Vol. 37, No. 6, pp. 4560-4567, 2010. (SCI)
  • 170. J. Leng and T. P. Hong, "Mining outliers in correlated subspaces for high dimensional data sets", Fundamenta Informaticae, Vol. 98, No. 1, pp. 71-86, 2010. (SCI)
  • 171. C. W. Lin, T. P. Hong and W. H. Lu, "An efficient tree-based fuzzy data mining approach", International Journal of Fuzzy Systems, Vol. 12, No. 2, pp. 150-157, 2010. (SCI)
  • 172. G. C. Lan, T. P. Hong and V. S. M. Tseng, "On-shelf utility mining with an upper-bound measure", ICIC Express Letters, Vol. 4, No. 6(B), pp. 2445-2450, 2010. (EI)
  • 173. T. P. Hong, C. Y. Wang and C. W. Lin, "Providing timely updated sequential patterns in decision making", International Journal of Information Technology & Decision Making, Vol. 9, No. 6, pp. 873-888, 2010. (SCI)
  • 174. C. W. Lin, T. P. Hong and W. H. Lu, “Efficient modification of fast updated FP-trees based on pre-large concepts", International Journal of Innovative Computing, Information and Control, Vol. 6, No. 11, pp. 5163-5177, 2010. (SCI)
  • 175. S. L. Wang, W. S. Lo and T. P. Hong, "Top-down discovery of cross-level web browsing sequences on taxonomy", International Journal of Computer Science and Knowledge Engineering, Vol. 4, No. 2, pp. 99-105, 2010. (EI)
  • 176. T. P. Hong, T. I. Chien, Y. L. Wu and C. W. Lin, "Evolutionary computation for good makespans of scheduling problems with mold constraints", ICIC Express Letters, Vol. 5, No. 6, pp. 1893-1898, 2011. (EI)
  • 177. T. P. Hong and C. W. Wu, "Mining rules from an incomplete data set with a high missing rate", Expert Systems with Applications, Vol. 38, No. 4, pp. 3931-3936, 2011. (SCI)
  • 178. 洪宗貝,“電腦的心智思考,” 科學發展月刊,Vol. 461, pp. 6-15, 2011. (Invited)
  • 179. G. C. Lan, T. P. Hong and V. S. M. Tseng, "Discovery of high utility itemsets from on-shelf time periods of products", Expert Systems with Applications, Vol. 38, No. 5, pp. 5851-5857, 2011. (SCI)
  • 180. T. P. Hong, C. M. Huang and S. J. Horng, “Discovering fuzzy inter- and intra-object associations", Expert Systems with Applications, Vol. 38, No. 6, pp. 6777-6786, 2011. (SCI)
  • 181. T. P. Hong, C. Y. Wang and S. S. Tseng, "An incremental mining algorithm for maintaining sequential patterns using pre-large sequences," Expert Systems with Applications, Vol. 38, No. 6, pp. 7051-7058, 2011. (SCI)
  • 182. C. W. Lin, T. P. Hong and W. H. Lu, "An effective tree structure for mining high utility itemsets", Expert Systems with Applications, Vol. 38, No. 6, pp. 7419-7424, 2011. (SCI)
  • 183. T. P. Hong, C. H. Lee and S. L. Wang, "Effective utility mining with the measure of average utility", Expert Systems with Applications, Vol. 38, No. 7, pp. 8259- 8265, 2011. (SCI)
  • 184. G. C. Lan, T. P. Hong and V. S. M. Tseng, "Reducing database scans for on-shelf utility mining", IETE Technical Review, Vol. 28, No. 2, pp. 103-112, 2011. (SCI)
  • 185. T. P. Hong and C. H. Wu, "An improved weighted clustering algorithm for determination of application nodes in heterogeneous sensor networks", Journal of Information Hiding and Multimedia Signal Processing, Vol. 2, No. 2, pp. 173- 184, 2011. (EI)
  • 186. S. L. Wang, J. D. Chen, P. A. Stirpe and T. P. Hong, “Risk-neutral evaluation of information security investment on data centers", Journal of Intelligent Information Systems, Vol. 36, No. 3, pp. 329-345, 2011. (SCI)
  • 187. T. P. Hong, W. T. Lin, C. H. Chen and C. S. Ouyang, "Evolutionarily adjusting membership functions in Takagi-Sugeno fuzzy systems", International Journal of Intelligent Information and Database Systems, Vol. 5, No. 3, pp. 229-245, 2011. (EI)
  • 188. G. C. Lan, T. P. Hong and V. S. M. Tseng, "Enhancing the pruning performance in on-shelf utility mining", ICIC Express Letters, Vol. 5, No. 10, pp. 3749-3754, 2011. (EI)
  • 189. T. P. Hong, C. T. Chiu, S. L. Wang, and K. Y. Lin, "Mining a complete set of fuzzy multiple-level rules", International Journal of Fuzzy Systems, Vol. 13, No. 2, pp. 111-119, 2011. (SCI)
  • 190. C. W. Lin and T. P. Hong, "Temporal data mining with up-to-date pattern trees", Expert Systems with Applications, Vol. 38, No. 12, pp. 15143-15150, 2011. (SCI)
  • 191. B. Vo, T. P. Hong and B. Le, “Dynamic bit vectors: an efficient approach for mining frequent itemsets", Scientific Research and Essays, Vol. 6, No. 25, pp. 5358-5368, 2011. (SCI)
  • 192. 邱菊添和洪宗貝,“Applications of Artificial Intelligence on Computer Games (人工智慧技術於電腦遊戲之應用)”, Journal of Global Business Operation and Management (全球商業經營管理學報), Vol. 3, pp. 33-41, 2011.
  • 193. C. H. Chen, T. P. Hong and V. S. M. Tseng, "Genetic-fuzzy mining with multiple minimum supports based on fuzzy clustering", Soft Computing, Vol. 15, No. 12, pp. 2319-2333, 2011. (SCI)
  • 194. B. C. Chien, J. H. Yang and T. P. Hong, "Learning classifiers based on genetic programming and rough sets", Journal of Multiple-Valued Logic and Soft Computing, Vol. 17, No. 2-3, pp. 135-155, 2011. (SCI)
  • 195. S. L. Wang, Y. C. Tsai, H. Y. Kao and T. P. Hong, "Extending suppression for anonymization on set-valued data", International Journal of Innovative Computing, Information and Control, Vol. 7, No. 12, pp. 6849-6863, 2011. (SCI)
  • 196. T. P. Hong, Y. F. Tung, S. L. Wang, Y. L. Wu and M. T. Wu, “A multi-level ant-colony mining algorithm for membership functions", Information Sciences, Vol. 182, No. 1, pp. 3-14, 2012. (SCI)
  • 197. C. H. Chen, T. P. Hong and V. S. M. Tseng, "Fuzzy data mining for time-series data", Applied Soft Computing, Vol. 12, No. 1, pp. 536-542, 2012. (SCI)
  • 198. C. W. Lin and T. P. Hong, "A new mining approach for uncertain databases using CUFP trees", Expert Systems with Applications, Vol. 39, No. 4, pp. 4084-4093, 2012. (SCI)
  • 199. G. C. Lan, T. P. Hong and V. S. M. Tseng, "A projection-based approach for discovering high average-utility itemsets", Journal of Information Science and Engineering, Vol. 28, No. 1, pp. 193-209, 2012. (SCI)
  • 200. C. W. Lin, G. C. Lan and T. P. Hong, "An incremental mining algorithm for high utility itemsets", Expert Systems with Applications, Vol. 39, No. 8, pp. 7173- 7180, 2012. (SCI)
  • 201. B. Vo, T. P. Hong and B. Le, “DBV-miner: a dynamic bit-vector approach for fast mining frequent closed itemsets", Expert Systems with Applications, Vol. 39, No. 8, pp. 7196-7206, 2012. (SCI)
  • 202. C. H. Chen, T. P. Hong and V. S. M. Tseng, "Finding Pareto-front membership functions in fuzzy data mining", International Journal of Computational Intelligence Systems, Vol. 5, No. 2, pp. 343-354, 2012. (SCI)
  • 203. L. T. T. Nguyen, B. Vo, T. P. Hong and H. C. Thanh, “Classification based on association rules: a lattice-based approach", Expert Systems with Applications, Vol. 39, No. 13, pp. 11357-11366, 2012. (SCI)
  • 204. G. C. Lan, T. P. Hong and V. S. M. Tseng, "An efficient gradual pruning technique for utility mining", International Journal of Innovative Computing, Information and Control, Vol. 8, No. 7(B), pp. 5165-5178, 2012. (SCI)
  • 205. T. P. Hong, M. J. Chiang and S. L. Wang, "Data mining with linguistic thresholds", International Journal of Contemporary Mathematical Sciences, Vol. 7, No. 35, pp. 1711-1725, 2012.
  • 206. C. H. Chen, T. P. Hong, V. S. M. Tseng and L. C. Chen, "Multi-objective genetic-fuzzy data mining", International Journal of Innovative Computing, Information and Control, Vol. 8, No. 10(A), pp. 6551-6568, 2012. (SCI)
  • 207. C. H. Chen, T. P. Hong and Y. C. Lee, "Genetic-fuzzy mining with taxonomy", International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 20, No. 2, pp. 187-205, 2012. (SCI)
  • 208. B. Vo, T. P. Hong and B. Le, “Mining most generalization association rules based on frequent closed itemsets", International Journal of Innovative Computing, Information and Control, Vol. 8, No. 10(B), pp. 7117-7132, 2012. (SCI)
  • 209. G. C. Lan, T. P. Hong and V. S. M. Tseng, "Efficiently mining high average-utility itemsets with an improved upper-bound strategy", International Journal of Information Technology & Decision Making, Vol. 11, No. 5, pp. 1009-1030, 2012. (SCI)
  • 210. S. T. Pan and T. P. Hong, "Robust speech recognition by DHMM with a codebook trained by genetic algorithm", Journal of Information Hiding and Multimedia Signal Processing, Vol. 3, No. 4, pp. 306-319, 2012. (EI)
  • 211. M. T. Wu, T. P. Hong and C. N. Lee, “A continuous ant colony system framework for fuzzy data mining", Soft Computing, Vol. 16, No. 12, pp. 2071-2082, 2012. (SCI)
  • 212. C. S. Kuo, T. P. Hong and C. L. Chen, "Developing a GP-based framework for knowledge integration," Journal of Convergence Information Technology, Vol. 7, No. 14, pp. 79-88, 2012. (EI)
  • 213. T. P. Hong, S. D. Li, Y. C. Lee and C. W. Lin, “Dynamic scheduling with mold constraints", ICIC Express Letters, Vol. 7, No. 4, pp. 1233-1238, 2013. (EI)
  • 214. L. T. T. Nguyen, B. Vo, T. P. Hong and H. C. Thanh, “CAR-Miner: an efficient algorithm for mining class-association rules", Expert Systems with Applications, Vol. 40, No. 6, pp. 2305-2311, 2013. (SCI)
  • 215. K. J. Yang, T. P. Hong, Y. M. Chen and G. C. Lan, “Projection-based partial periodic pattern mining for event sequences", Expert Systems with Applications, Vol. 40, No. 10, pp. 4232-4240, 2013. (SCI)
  • 216. B. Vo, T. P. Hong and B. Le, “A lattice-based approach for fast mining most generalization association rules", Knowledge-Based Systems, Vol. 45, pp. 20-30, 2013. (SCI)
  • 217. C. W. Lin and T. P. Hong, "A survey of fuzzy web mining", Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 3, pp. 190-199, 2013. (SCI)
  • 218. C. W. Lin, T. P. Hong, C. C. Chang and S. L. Wang, "A greedy-based approach for hiding sensitive itemsets by transaction insertion", Journal of Information Hiding and Multimedia Signal Processing, Vol. 4, No. 4, pp. 201-214, 2013. (EI)
  • 219. T. P. Hong, C. W. Lin, K. T. Yang and S. L. Wang, “Using TF-IDF to Hide Sensitive Itemsets”, Applied Intelligence, Vol. 38, No. 4, pp. 502-510, 2013. (SCI)
  • 220. C. W. Lin, T. P. Hong, T. C. Lin, Y. F. Chen and S. T. Pan, "An integrated MFFP-tree algorithm for mining global fuzzy rules from distributed databases", Journal of Universal Computer Science, Vol. 19, No. 4, pp. 521-538, 2013. (SCI)
  • 221. S. L. Wang, Y. C. Tsai, H. Y. Kao, I. H. Ting and T. P. Hong, "Shortest paths anonymization on weighted graphs", International Journal of Software Engineering and Knowledge Engineering, Vol. 23, No. 1, pp. 65-79, 2013. (SCI)
  • 222. C. H. Chen, G. C. Lan, T. P. Hong and Y. K. Lin, “Mining high coherent association rules with consideration of support measure”, Expert Systems with Applications, Vol. 40, No. 16, pp. 6531-6537, 2013. (SCI)
  • 223. T. P. Hong, G. C. Lan, Y. H. Lin and S. T. Pan, “An effective gradual data-reduction strategy for fuzzy itemset mining”, International Journal of Fuzzy Systems, Vol. 15, No. 2, pp. 170-181, 2013. (SCI)
  • 224. C. H. Chen, V. S. M. Tseng, H. H. Yu and T. P. Hong, "Time series pattern discovery by a PIP-based evolutionary approach", Soft Computing, Vol. 17, No. 9, pp. 1699-1710, 2013. (SCI)
  • 225. S. L. Wang, C. Y. Chen, I. H. Ting and T. P. Hong, "Anonymous query on non-uniform data for location privacy", International Journal of Data Warehousing and Mining, Vol. 9, No. 4, pp. 44-61, 2013. (SCI)
  • 226. C. H. Chen, J. S. He and T. P. Hong, “MOGA-based fuzzy data mining with taxonomy", Knowledge-Based Systems, Vol. 54, pp. 53-65, 2013. (SCI)
  • 227. T. T. Pham, J. W. Luo, T. P. Hong and B. Vo, “An efficient algorithm for mining sequential rules with interestingness measures", International Journal of Innovative Computing, Information and Control, Vol. 9, No. 12, pp. 4811-4824, 2013.
  • 228. S. R. Kannan, S. Ramathilagam, R. Devi and T. P. Hong, “Fuzzy c-means in finding subtypes of cancers in cancer database”, Journal of Innovative Optical Health Sciences, Vol. 7, No. 1, DOI: 10.1142/S1793545814500187, 2014. (SCI)
  • 229. 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,” ICIC Express Letters , Vol. 8, No. 2, pp. 535-540, 2014. (EI)
  • 230. G. C. Lan, T. P. Hong and V. S. M. Tseng, "An efficient projection-based indexing approach for mining high utility itemsets", Knowledge and Information System, Vol. 38, No. 1, pp. 85-107, 2014. (SCI)
  • 231. C. W. Tsai, A. Pelov, M. C. Chiang, C. S. Yang and T. P. Hong, “Computational awareness for smart grid: a review”, International Journal of Machine Learning and Cybernetics, Vol. 5, No. 1, pp. 151-163, 2014. (EI)
  • 232. S. L. Wang, Z. Z. Tsai, I. H. Ting and T. P. Hong, "K-anonymous path privacy on social graphs", Journal of Intelligent & Fuzzy Systems, Vol. 26, pp. 1191-1199, 2014. (SCI)
  • 233. G. C. Lan, T. P. Hong, J. P. Huang and V. S. M. Tseng, "On-shelf utility mining with negative item values", Expert Systems with Applications, Vol. 41, No. 7, pp. 3450-3459, 2014. (SCI)
  • 234. T. P. Hong, Y. L. Liou, S. L. Wang and B. Vo, “Feature selection and replacement by clustering attributes", Vietnam Journal of Computer Science, Vol. 1, No. 1, pp. 47-55, 2014. (Invited)
  • 235. K. J. Yang, T. P. Hong, Y. M. Chen and G. C. Lan, “A two-phase approach for mining weighted partial periodic patterns", Engineering Applications of Artificial Intelligence, Vol. 30, pp. 225-234, 2014. (SCI)
  • 236. C. W. Lin, T. P. Hong, J. W. Wong, G. C. Lan and W. Y. Lin, “A GA-based approach to hide sensitive high utility itemsets", The Scientific World Journal, Vol. 2014, Article ID 804629, 2014. (SCI)
  • 237. G. C. Lan, T. P. Hong, V. S. M. Tseng and S. L. Wang, “Applying the maximum utility measure in high utility sequential pattern mining”, Expert Systems with Applications, Vol. 41, No. 11, pp. 5071-5081, 2014. (SCI)
  • 238. C. W. Lin, T. P. Hong and H. C. Hsu, "Reducing side effects of hiding sensitive itemsets in privacy preserving data mining", The Scientific World Journal, Vol. 2014, Article ID 235837, 2014. (SCI)
  • 239. C. W. Lin, T. P. Hong, G. C. Lan, J. W. Wong and W. Y. Lin, “Incrementally mining high utility patterns based on pre-large concept", Applied Intelligence, Vol. 40, No. 2, pp. 343-357, 2014. (SCI)
  • 240. T. T. Pham, J. W. Luo, T. P. Hong and B. Vo, “An efficient method for mining non-redundant sequential rules using attributed prefix-trees", Engineering Applications of Artificial Intelligence, Vol. 32, pp. 88-99, 2014. (SCI)
  • 241. C. W. Tsai, S. P. Tseng, M. C. Chiang, C. S. Yang and T. P. Hong, “A high-performance genetic algorithm: using traveling salesman problem as a case”, The Scientific World Journal, Vol. 2014, Article ID 178621, 2014. (SCI)
  • 242. T. P. Hong, Y. C. Lee and M. T. Wu, "An effective parallel approach for genetic-fuzzy data mining,” Expert Systems with Applications, Vol. 41, No. 2, pp. 655-662, 2014. (SCI)
  • 243. C. W. Lin and T. P. Hong, "Maintenance of prelarge trees for data mining with modified records", Information Sciences, Vol. 278, pp. 88-103, 2014. (SCI)
  • 244. M. T. Wu, T. P. Hong and C. N. Lee, “Using the ACS approach to solve continuous mathematical problems in engineering", Mathematical Problems in Engineering, Vol. 2014, Article ID 142194, 2014. (SCI)
  • 245. B. Zhang, C. W. Lin, W. Gan and T. P. Hong, “Maintaining the discovered sequential patterns for sequence insertion in dynamic databases", Engineering Applications of Artificial Intelligence, Vol. 35, pp. 131-142, 2014. (SCI)
  • 246. T. P. Hong, C. W. Lin and T. C. Lin, “The MFFP-tree fuzzy mining algorithm to discover complete linguistic frequent itemsets", Computational Intelligence, Vol. 30, No. 1, pp. 145-166, 2014. (SCI)
  • 247. C. W. Lin and T. P. Hong, "Mining fuzzy frequent itemsets based on UBFFP trees", Journal of Intelligent and Fuzzy Systems, Vol. 27, pp. 535-548, 2014. (SCI)
  • 248. S. T. Pan, H. C. Chen and T. P. Hong, “Automatic cardiac arrhythmias recognition from ECG signal based on hidden Markov model”, Experimental & Clinical Cardiology, Vol. 20, No. 8, pp. 2672-2678, 2014. (SCI)
  • 249. T. P. Le, B. Vo, T. P. Hong, B. Le and D. Hwang, “Improving efficiency of incremental mining by trie structure and pre-large itemsets", Computing and Informatics, Vol. 33, No. 3, pp. 609-632, 2014. (SCI)
  • 250. G. C. Lan, T. P. Hong and H. Y. Lee, “An efficient approach for finding weighted sequential patterns from sequence databases”, Applied Intelligence, Vol. 41, No. 2, pp. 439-452, 2014. (SCI)
  • 251. C. W. Lin, B. B. Zhang, K. T. Yang and T. P. Hong, “Efficiently hiding sensitive itemsets with transaction deletion based on genetic algorithms", The Scientific World Journal, Vol. 2014, Article ID 398269, 2014. (SCI)
  • 252. B. Vo, T. Le, T. P. Hong and B. Le, “An effective approach for maintenance of pre-large-based frequent-itemset lattice in incremental mining", Applied Intelligence, Vol. 41, No. 3, pp. 759-775, 2014. (SCI)
  • 253. T. T. Pham, J. W. Luo and T. P. Hong, “An efficient algorithm for mining sequential generator pattern using prefix trees and hash tables", International Journal of Intelligent Systems Technologies and Applications, Vol. 13, No. 3, pp. 157-169, 2014. (EI)
  • 254. C. W. Lin, T. P. Hong, W. Y Lin and G. C. Lan, “Efficient updating of sequential patterns with transaction insertion,” Intelligent Data Analysis, Vol. 18, pp. 1013- 1026, 2014. (SCI)
  • 255. S. L. Wang, Y. C. Tsai, H. Y. Kao and T. P. Hong, "On anonymizing transactions with sensitive items", Applied Intelligence, Vol. 41, No. 4, pp. 1043-1058, 2014. (SCI)
  • 256. K. J. Yang, T. P. Hong, G. C. Lan and Y. M. Chen, “Efficient mining of partial periodic patterns with individual event support thresholds using minimum constraints”, International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, Vol. 22, No. 6, pp. 793-814, 2014. (SCI)
  • 257. S. Ramathilagam, R. Devi, T. P. Hong and S. R. Kannan, “Robust fuzzy clustering techniques for analyzing complicated colon cancer database”, Journal of Intelligent & Fuzzy Systems, Vol. 27, No. 5, pp. 2573-2595, 2014. (SCI)
  • 258. C. W. Lin, W. S. Gan and T. P. Hong, “Efficiently maintaining the fast updated sequential pattern trees with sequence deletion”, IEEE Access, Vol. 2, pp. 1374- 1383, 2014. (SCI)
  • 259. K. J. Yang, T. P. Hong, Y. M. Chen and G. C. Lan, “An efficient pruning and filtering strategy to mine partial periodic patterns from a sequence of event sets", International Journal of Data Warehousing and Mining, Vol. 10, No. 2, pp. 18- 38, 2014. (SCI)
  • 260. C. W. Lin, T. P. Hong and T. C. Lin, “A CMFFP-tree algorithm to mine complete multiple fuzzy frequent itemsets", Applied Soft Computing, Vol. 28, pp. 431-439, 2015. (SCI)
  • 261. C. W. Lin, G. C. Lan and T. P. Hong, “Mining high utility itemsets for transaction deletion in a dynamic database", Intelligent Data Analysis, Vol. 19, No. 1, pp. 43- 55, 2015. (SCI)
  • 262. C. W. Lin, W. S. Gan, T. P. Hong and J. L. Zhang, “Updating the built prelarge fast updated sequential pattern trees with sequence modification”, International Journal of Data Warehousing and Mining, Vol. 11, No. 1, pp. 1-21, 2015. (SCI)
  • 263. T. P. Hong, C. H. Chen and F. S. Lin, "Using the group genetic algorithm to improve performance of attribute clustering", Applied Soft Computing, Vol. 29, pp. 371-378, 2015. (SCI)
  • 264. C. W. Lin, G. C. Lan, T. P. Hong and Y. Y. Wang, “A fast updated high utility pattern trees for transaction deletion", Journal of Internet Technology, Vol. 16, No. 1, pp. 131-138, 2015. (SCI)
  • 265. C. W. Lin, T. P. Hong, K. T. Yang and S. L. Wang, “The GA-based algorithms for optimizing hiding sensitive itemsets through transaction deletion", Applied Intelligence, Vol. 42, No. 2, pp. 210-230, 2015. (SCI)
  • 266. C. W. Lin, W. S. Gan, T. P. Hong and B. Zhang, "An incremental high-utility mining algorithm with transaction insertion", The Scientific World Journal, Vol. 2015, Article ID 161564, 2015. (SCI)
  • 267. G. C. Lan, T. P. Hong, Y. H. Lin and S. L. Wang, “Fuzzy utility mining with upper-bound measure”, Applied Soft Computing, Vol. 30, pp. 767-777, 2015. (SCI)
  • 268. C. W. Lin, T. P. Hong, G. C. Lan, J. W. Wong and W. Y. Lin, “Efficient updating of discovered high utility itemsets for transaction deletion in dynamic databases", Advanced Engineering Informatics, Vol. 29, No. 1, pp. 16-27, 2015. (SCI)
  • 269. M. W. Tsai, T. P. Hong and W. T. Lin, "A two-dimensional genetic algorithm and its application to aircraft scheduling problem", Mathematical Problems in Engineering, Vol. 2015, Article ID 906305, 2015. (SCI)
  • 270. Y. C. Tsai, S. L. Wang, H. Y. Kao and T. P. Hong, “Edge types vs privacy in k-anonymization of shortest paths", Applied Soft Computing, Vol. 31, pp. 348-359, 2015. (SCI)
  • 271. G. C. Lan, T. P. Hong, H. Y. Lee and C. W. Lin, “Tightening upper bounds for mining weighted frequent itemsets”, Intelligent Data Analysis, Vol. 19, pp. 413- 429, 2015. (SCI)
  • 272. C. W. Lin, T. P. Hong and G. C. Lan, “Updating the sequential patterns in dynamic databases for customer sequences deletion,” Journal of Internet Technology, Vol. 16, No. 3, pp. 369-377, 2015. (SCI)
  • 273. D. Nguyen, L. T. T. Nguyen, B. Vo and T. P. Hong, “A novel method for constrained class-association rule mining", Information Sciences, Vol. 320, pp. 107-125, 2015. (SCI)
  • 274. B. Vo, T. Le, T. P. Hong and B. Le, “Fast updated frequent-itemset lattice for transaction deletion", Data & Knowledge Engineering, Vol. 96-97, pp. 78-89, 2015. (SCI)
  • 275. C. W. Lin, W. S. Gan, P. Fournier-Viger and T. P. Hong, "RWFIM: recent weighted-frequent itemsets mining", Engineering Applications of Artificial Intelligence, Vol. 45, pp. 18-32, 2015. (SCI)
  • 276. S. R. Kannan, R. Devi, S. Ramathilagam, T. P. Hong and A. Ravikumar, “Robust fuzzy clustering algorithms in analyzing high-dimensional cancer databases”, Applied Soft Computing, Vol. 35, pp. 199-213, 2015. (SCI)
  • 277. C. W. Lin, T. P. Hong, W. Gan, H. Y. Chen and S. T. Li, "Incrementally updating the discovered sequential patterns based on pre-large concept", Intelligent Data Analysis, Vol. 19, pp. 1071-1089, 2015. (SCI)
  • 278. D. H. Nguyen, B. Vo, T. H. M. Nguyen and T. P. Hong, “MBiS: an efficient method for mining frequent itemsets in quantitative databases", Journal of Computer Science and Cybernetics, Vol. 31, No. 1, pp. 17-30, 2015.
  • 279. C. W. Lin, W. S. Gan and T. P. Hong, "A fast updated algorithm to maintain the discovered high-utility itemsets for transaction modification", Advanced Engineering Informatics, Vol. 29, No. 3, pp. 562-574, 2015. (SCI)
  • 280. C. W. Lin, W. S. Gan, T. P. Hong and V. S. M. Tseng, "Efficient algorithms for mining up-to-date high-utility patterns", Advanced Engineering Informatics, Vol. 29, No. 3, pp. 648-661, 2015. (SCI)
  • 281. C. H. Chen, T. P. Hong, Y. C. Lee and V. S. M. Tseng, "Finding active membership functions for genetic-fuzzy data mining", International Journal of Information Technology & Decision Making, Vol. 14, No. 6, pp. 1215-1242, 2015. (SCI)
  • 282. T. P. Hong, S. G. Lee, B. C. Chien and S. L. Wang "Agent-based DNS client caching for reducing latency of web access", ICIC Express Letters, Vol. 9, No. 12, pp. 3195-3201, 2015. (EI)
  • 283. L. T. T. Nguyen, B. Vo, T. P. Hong and H. C. Thanh, “CARIM: an efficient algorithm for mining class-association rules with interestingness measures", International Arab Journal of Information Technology, Vol. 12, No. 6A, pp. 627-634, 2015. (SCI)
  • 284. C. W. Lin, T. Li, P. Fournier-Viger and T. P. Hong, "A fast algorithm for mining fuzzy frequent itemsets", Journal of Intelligent & Fuzzy Systems, Vol. 29, No. 6, pp. 2373-2379, 2015. (SCI)
  • 285. C. W. Lin, T. P. Hong, T. C. Lin and S. T. Pan, "An UBMFFP tree for mining multiple fuzzy frequent itemsets", International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, Vol. 23, No. 6, pp. 861-879, 2015. (SCI)
  • 286. C. W. Lin, W. Gan, T. P. Hong, S. O. Park and B. W. Chen, "Peer-to-peer usage analysis in dynamic databases", Peer-to-Peer Networking and Applications, Vol. 8, No. 5, pp. 851-862, 2015. (SCI)
  • 287. C. W. Lin, W. S. Gan and T. P. Hong, "Maintaining the discovered high-utility itemsets with transaction modification", Applied Intelligence, Vol. 44, No. 1, pp. 166-178, 2016. (SCI)
  • 288. C. W. Lin, W. S. Gan, P. Fournier-Viger, T. P. Hong and V. S. M. Tseng, "Weighted frequent itemset mining over uncertain databases", Applied Intelligence, Vol. 44, No. 1, pp. 232-250, 2016. (SCI)
  • 289. C. H. Chen, G. C. Lan, T. P. Hong and S. B. Lin, "Mining fuzzy temporal association rules by item lifespans", Applied Soft Computing, Vol. 41, pp. 265-274, 2016. (SCI)
  • 290. B. Vo, T. Le, F. Coenen and T. P. Hong, “Mining frequent itemsets using the N-list and subsume concepts", International Journal of Machine Learning and Cybernetics, Vol. 7, No. 2, pp. 253-265, 2016. (SCI)
  • 291. C. W. Lin, W. S. Gan, P. Fournier-Viger, T. P. Hong and V. S. M. Tseng, "Efficient algorithms for mining high-utility itemsets in uncertain databases", Knowledge-Based Systems, Vol. 96, pp. 171-187, 2016. (SCI)
  • 292. C. W. Lin, T. Li, P. Fournier-Viger, T. P. Hong, J. Zhan and M. Voznak, "An efficient algorithm to mine high average-utility itemsets", Advanced Engineering Informatics, Vol. 30, No. 2, pp. 233-243, 2016. (SCI)
  • 293. S. R. Kannan, R. Devi, S. Ramathilagam, T. P. Hong and A. Ravikumar, “Effective kernel FCM: finding appropriate structure in cancer database”, International Journal of Biomathematics, Vol. 9, No. 2, Article number: 1650018, 2016. (SCI)
  • 294. C. W. Lin, Q. K. Liu, P. Fournier-Viger, T. P. Hong, M. Voznak and J. Zhan “A sanitization approach for hiding sensitive itemsets based on particle swarm optimization", Engineering Applications of Artificial Intelligence, Vol. 53, pp. 1-18, 2016. (SCI)
  • 295. C. W. Lin, W. S. Gan, T. P. Hong, H. Y. Chen and S. T. Li "An efficient algorithm to maintain the discovered frequent sequences with record deletion", Intelligent Data Analysis, Vol. 20, No. 3, pp. 655-677, 2016. (SCI)
  • 296. C. W. Lin, W. S. Gan and T. P. Hong, "A fast maintenance algorithm of the discovered high-utility itemsets with transaction deletion, Intelligent Data Analysis, Vol. 20, No. 4, pp. 891-913, 2016. (SCI)
  • 297. T. P. Hong, G. C. Lan, J. H. Su, P. S. Wu and S. L. Wang, “Discovery of temporal association rules with hierarchical granular framework”, Applied Computing and Informatics, Vol. 12, No. 2, pp. 134-141, 2016. (EI)
  • 298. S. L. Wang, J. W. Chen, I. H. Ting and T. P. Hong, "(k, p)-shortest path algorithm in the cloud maintaining neighborhood privacy", Journal of Web Engineering, Vol. 15, No. 1&2, pp. 29-44, 2016. (SCI)
  • 299. M. T. Tran, B. Le, B. Vo and T. P. Hong, “Mining non-redundant sequential rules with dynamic bit vectors and pruning techniques", Applied Intelligence, Vol. 45, No. 2, pp. 333-342, 2016. (SCI)
  • 300. B. Vo, T. Tran, T. P. Hong and L. M. Nguyen, “Using soft set theory for mining maximal association rules in text data", Journal of Universal Computer Science, Vol. 22, No. 6, pp. 802-821, 2016. (SCI)
  • 301. C. W. Tsai, T. P. Hong and G. N. Shiu, "Metaheuristics for the lifetime of WSN: a review", IEEE Sensors Journal, Vol. 16, No. 9, pp. 2812-2831, 2016. (SCI)
  • 302. T. P. Le, B. Vo, T. P. Hong, B. Le and J. Jung, “An efficient approach for mining frequent itemsets with transaction deletion operation", International Arab Journal of Information Technology, Vol. 13, No. 5, pp. 595-602, 2016. (SCI).
  • 303. C. H. Chen, V. S. M. Tseng, H. H. Yu, T. P. Hong and N. Y. Yen, "A GA-based approach for finding appropriate granularity levels of patterns from time series", International Journal of Web and Grid Services, Vol. 12, No. 3, pp. 217-239, 2016. (SCI)
  • 304. C. W. Lin, W. S. Gan, P. Fournier-Viger and T. P. Hong, "Efficiently updating the discovered sequential patterns for sequence modification", International Journal of Software Engineering and Knowledge Engineering, Vol. 26, No. 8, pp. 1285- 1313, 2016. (SCI)
  • 305. C. W. Lin, W. S. Gan, P. Fournier-Viger, T. P. Hong and J. Zhan, "Efficient mining of high-utility itemsets using multiple minimum utility thresholds", Knowledge-Based Systems, Vol. 113, pp. 100-115, 2016. (SCI)
  • 306. C. W. Lin, Q. Liu, P. Fournier-Viger and T. P. Hong, "PTA: an efficient system for anonymizing transactional databases", IEEE Access, Vol. 4, pp. 6467-6479, 2016. (SCI)
  • 307. C. W. Lin, L. Yang, P. Fournier-Viger, M. T. Wu, T. P. Hong, S. L. Wang and J. Zhan, “Mining high-utility itemsets based on particle swarm optimization", Engineering Applications of Artificial Intelligence, Vol. 55, pp. 320-330, 2016. (SCI)
  • 308. C. W. Lin, B. Zhang, W. Gan, B. W. Chen, S. Rho and T. P. Hong, "Updating high-utility pattern trees with transaction modification", Multimedia Tools and Applications, Vol. 75, No. 9, pp. 4887-4912, 2016. (SCI)
  • 309. T. P. Hong, Y. C. Peng, W. Y. Lin and S. L. Wang, "Empirical comparison of level-wise hierarchical multi-population genetic algorithm", Journal of Information and Telecommunication, Vol. 1, No. 1, pp. 66-78, 2017. (Invited)
  • 310. B. Vo, T. Le, G. Nguyen and T. P. Hong, “Efficient algorithms for mining erasable closed patterns from product datasets", IEEE Access, Vol. 5, No. 1, pp. 3111-3120, 2017. (SCI)
  • 311. M. T. Wu, T. P. Hong and C. N. Lee, “A dynamic-edge ACS algorithm for continuous variables problems", Natural Computing, Vol. 16, No. 2, pp. 339-352, 2017. (SCI)
  • 312. C. W. Lin, W. S. Gan, P. Fournier-Viger, T. P. Hong and H. C. Chao, "FDHUP: fast algorithm for mining discriminative high utility patterns", Knowledge and Information Systems, Vol. 51, No. 3, pp. 873-909, 2017. (SCI)
  • 313. C. W. Lin, W. S. Gan, P. Fournier-Viger, T. P. Hong and V. S. M. Tseng, "Efficiently mining uncertain high-utility itemsets", Soft Computing, Vol. 21, No. 11, pp. 2801-2820, 2017. (SCI)
  • 314. S. R. Kannan, R. Devi, S. Ramathilagam and T. P. Hong, “Effective fuzzy possibilistic c-means: an analyzing cancer medical database”, Soft Computing, Vol. 21, No. 11, pp. 2835-2845, 2017. (SCI)
  • 315. C. K. Ting, T. C. Wang, R. T. Liaw and T. P. Hong, "Genetic algorithm with a structure-based representation for genetic-fuzzy data mining", Soft Computing, Vol. 21, No. 11, pp. 2871-2882, 2017. (SCI)
  • 316. J. N. Huang, T. P. Hong and M. C. Chiang, "An effective method for approximate representation of frequent itemsets", Intelligent Data Analysis, Vol. 21, pp. 597-616, 2017. (SCI)
  • 317. C. W. Lin, J. Zhang, P. Fournier-Viger, T. P. Hong and J. Zhang, "A two-phase approach to mine short-periodic high utility itemsets in transactional databases", Advanced Engineering Informatics, Vol. 33, pp. 29-43, 2017. (SCI)
  • 318. S. L. Wang, M. J. Hsiu, Y. C. Tsai, I. H. Ting and T. P. Hong, “Analysis of privacy and utility tradeoffs in anonymized mobile context streams", Intelligent Data Analysis, Vol. 21, Supplement, pp. S21-S40, 2017. (SCI)
  • 319. S. L. Wang, Y. C. Tsai, T. P. Hong and H. Y. Kao, "k-anonymization of multiple shortest paths", Soft Computing, Vol. 21, No. 15, pp. 4215-4226, 2017. (SCI)
  • 320. C. W. Lin, S. Ren, P. Fournier-Viger and T. P. Hong, "EHAUPM: efficient high average-utility pattern mining with tighter upper-bound models", IEEE Access, Vol. 5, No. 1, pp. 12927-12940, 2017. (SCI)
  • 321. T. P. Hong and S. S. Tseng, "Analysis of the boundary sets in version space," accepted and to appear in International Journal of Information Management and Engineering.
  • 322. C. W. Lin, W. S. Gan, P. Fournier-Viger, T. P. Hong and V. S. M. Tseng, "Fast algorithms for mining high-utility itemsets with various discount strategies", accepted and to appear in Advanced Engineering Informatics. (SCI)
  • 323. C. W. Lin, L. Yang, P. Fournier-Viger, T. P. Hong and M. Voznak, “A binary PSO approach to mine high-utility itemsets", accepted and to appear in Soft Computing. (SCI)
  • 324. J. N. Huang, T. P. Hong and M. C. Chiang, "Reference itemsets: useful itemsets to approximate the representation of frequent itemsets", accepted and to appear in Soft Computing. (SCI)
  • 325. C. W. Lin, T. Li, P. Fournier-Viger, T. P. Hong, M. T. Wu and J. Zhan, " Efficient mining of multiple fuzzy frequent itemsets", accepted and to appear in International Journal of Fuzzy Systems. (SCI)
  • 326. J. S. Pan, C. W. Lin, L. Yang, P. Fournier-Viger and T. P. Hong, "Efficiently mining of skyline frequent-utility patterns", accepted and to appear in Intelligent Data Analysis. (SCI)
  • 327. C. W. Lin, S. Ren, P. Fournier-Viger, T. P. Hong, J. H. Su and B. Vo, "A fast algorithm for mining high average-utility itemsets", accepted and to appear in Applied Intelligence. (SCI)
  • 328. C. K. Ting, R. T. Liaw, T. C. Wang and T. P. Hong, "Mining fuzzy association rules using a memetic algorithm based on structure representation", accepted and to appear in Memetic Computing. (SCI)
  • 329. T. P. Hong, W. C. Chen, W. Y. Lin and S. L. Wang, "Implementation of view creation and deletion with class integration under multiple data sources," accepted and to appear in International Journal of Computer and Software Engineering
  • 330. C. W. Lin, W. S. Gan, P. Fournier-Viger, H. C. Chao and T. P. Hong, "Efficiently mining frequent itemsets with weight and recency constraints", accepted and to appear in Applied Intelligence. (SCI)
  • 331. C. W. Lin, T. P. Hong, P. Fournier-Viger, Q. Liu, J. W. Wong and J. Zhan, “Efficient hiding of confidential high-utility itemsets with minimal side effects", accepted and to appear in Journal of Experimental & Theoretical Artificial Intelligence. (SCI)
  • 332. *C. H. Wang, T. P. Hong and S. S. Tseng, "Two-phase genetic knowledge integration strategies," IEEE Transactions on Evolutionary Computation, (in revision). (SCI)
  • 333. C. H. Wang, T. P. Hong and S. S. Tseng, "A fuzzy version space learning strategy," Knowledge and Information Systems, (in revision). (SCI)
  • 334. T. P. Hong and J. B. Chen, "Induction of Hierarchical Membership Functions," IEEE Transactions on Fuzzy Systems (in revision). (SCI)
  • 335. T. P. Hong, T. T. Wang and B. C. Chien, "Induction of maximally general rules for coverage of training examples," International Journal of Computational Intelligence and Applications (in revision).
  • 336. T. P. Hong and T. T. Wang, "A heuristic Gupta-based fuzzy flexible flow-shop scheduling algorithm," Computers & Industrial Engineering (in revision). (SCI)
  • 337. S. L. Wang, J. W. Shen and T. P. Hong, "Incremental discovery of functional dependencies based on partitions", Intelligent Data Analysis (in revision). (SCI)
  • 338. T. P. Hong and T. N. Chuang, "Continuous fuzzy CDS scheduling," Journal of Intelligent & Fuzzy Systems (in revision). (SCI)
  • 339. T. P. Hong and C. Y. Wang, "Dynamically adjusting pre-large itemsets in incremental mining," Information and Computation (in revision). (SCI)
  • 340. S. L. Wang and T. P. Hong, "Efficient sanitization of collaborative recommendation association rules", Information Sciences (in revision). (SCI)
  • 341. S. L. Wang, T. P. Hong and P. A. Stirpe, “Analyzing security investment to optimally protect information", International Journal of Critical Infrastructure Protection (in revision). (SCI)