Lecture Notes

  • 1. T. P. Hong and T. T. Wang, "A new fuzzy flexible flow-shop algorithm for continuous fuzzy domain," Lecture Notes in Computer Science, Vol. 1611, pp. 74-79, 1999. (SCI)
  • 2. J. Y. Lin, B. C. Chien and T. P. Hong, "A function-based classifier learning scheme using genetic programming", Lecture Notes in Computer Science, Vol. 2336, pp. 92-103, 2002. (SCI)
  • 3. Y. C. Lee, T. P. Hong and W. Y. Lin, "Mining fuzzy association rules with multiple minimum supports using maximum constraints", Lecture Notes in Computer Science, Vol. 3214, 2004, pp. 1283-1290. (SCI)
  • 4. T. P. Hong, W. C. Chang and J. H. Lin, "A two-phased ontology selection approach for semantic web", Lecture Notes in Computer Science, Vol. 3684, pp. 403-408, 2005. (SCI)
  • 5. T. P. Hong, C. M. Huang and S. J. Horng, “Mining linguistic mobility patterns for wireless networks", Lecture Notes in Computer Science, Vol. 3683, pp. 1352-1357, 2005. (SCI)
  • 6. C. Y. Wang, S. S. Tseng and T. P. Hong, "Improved negative-border online mining approaches", Lecture Notes in Computer Science, Vol. 3918, pp. 483-492, 2006. (SCI)
  • 7. Y. C. Lee, T. P. Hong and T. C. Wang, "Mining multiple-level association rules under the maximum constraint of multiple minimum supports", Lecture Notes in Computer Science, Vol. 4031, pp. 1329 – 1338, 2006. (SCI)
  • 8. C. L. Wang, G. Horng, Y. S. Chen and T. P. Hong, “An efficient key-update scheme for wireless sensor networks", Lecture Notes in Computer Science, Vol. 3991, pp. 1026 -1029, 2006. (SCI)
  • 9. 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", Lecture Notes in Artificial Intelligence, Vol. 4570, pp. 675 - 684, 2007. (SCI)
  • 10. C. H. Chen, T. P. Hong and V. S. M. Tseng, "A cluster-based genetic-fuzzy mining approach for items with multiple minimum supports", Lecture Notes in Computer Science, Vol. 5012, pp. 864 – 869, 2008. (SCI)
  • 11. C. W. Lin, T. P. Hong, W. H. Lu and B. C. Chien “Incremental mining with prelarge trees", Lecture Notes in Artificial Intelligence, Vol. 5027, pp. 169 – 178, 2008. (EI)
  • 12. S. L. Wang, T. Z. Lai, T. P. Hong and Y. L. Wu, “Hiding predictive association rules on horizontally distributed data”, Lecture Notes in Artificial Intelligence, Vol. 5579, pp. 133 - 141, 2009. (EI)
  • 13. C. W. Lin, T. P. Hong and W. H. Lu, "Efficiently mining high average utility itemsets with a tree structure", Lecture Notes in Artificial Intelligence, Vol. 5990, pp. 131-139, 2010. (EI)
  • 14. G. C. Lan, T. P. Hong and V. S. M. Tseng, "A three-scan algorithm to mine high on-shelf utility itemsets", Lecture Notes in Artificial Intelligence, Vol. 5991, pp. 351-358, 2010. (EI)
  • 15. Y. C. Lee, T. P. Hong and C. H. Chen, "Mining generalized association rules with quantitative data under multiple support constraints", Lecture Notes in Artificial Intelligence, Vol. 6422, pp. 224-231, 2010. (EI)
  • 16. M. T. Wu, T. P. Hong and C. N. Lee, "An improved ant algorithm for fuzzy data mining", Lecture Notes in Artificial Intelligence, Vol. 6422, pp. 344-351, 2010. (EI)
  • 17. S. L. Wang, Z. Z. Tsai, T. P. Hong and I. H. Ting "Anonymizing shortest paths on social network graphs", Lecture Notes in Artificial Intelligence, Vol. 6591, pp. 129 - 136, 2011. (EI)
  • 18. T. P. Hong, C. W. Lin, K. T. Yang and S. L. Wang, “A heuristic data-sanitization approach based on TF-IDF", Lecture Notes in Computer Science, Vol. 6703, pp. 156-164, 2011. (EI)
  • 19. T. P. Hong, C. W. Lin, T. C. Lin, Y. F. Chen and S. T. Pan, "Integration of multiple fuzzy FP-trees", Lecture Notes in Artificial Intelligence, Vol. 7196, pp. 330-337, 2012. (EI)
  • 20. L. T. T. Nguyen, B. Vo, T. P. Hong and H. C. Thanh, “Interestingness measures for classification based on association rules", Lecture Notes in Computer Science, Vol. 7654, pp. 383 – 392, 2012. (EI)
  • 21. T. T. Pham, J. W. Luo, T. P. Hong and B. Vo, “MSGPs: a novel algorithm for mining sequential generator patterns", Lecture Notes in Computer Science, Vol. 7654, pp. 393 – 401, 2012. (EI)
  • 22. C. W. Lin, T. P. Hong, C. C. Chang and S. L. Wang, "A GA-based approach for hiding sensitive itemsets by transaction insertion", Lecture Notes in Information Technology, Vol. 38, pp. 3 – 9, 2012. (EI)
  • 23. B. Le, C. T. Tran, T. P. Hong and B. Vo, “A space-time trade off for FUFP-trees maintenance”, Lecture Notes in Artificial Intelligence, Vol. 7803, pp. 206-214, 2013. (EI)
  • 24. C. H. Chen, Y. Li and T. P. Hong, "Multi-level genetic-fuzzy mining with a tuning mechanism", Lecture Notes in Computer Science, Vol. 8398, pp. 82-89, 2014. (EI).
  • 25. C. R. Li, C. W. Lin, W. S. Gan and T. P. Hong, "A modified maintenance algorithm for updating FUSP tree in dynamic database", Lecture Notes in Artificial Intelligence, Vol. 8481, pp. 301-310, 2014. (EI)
  • 26. G. C. Lan, T. P. Hong and Y. T. Chao, "Multi-criteria utility mining using minimum constraints", Lecture Notes in Artificial Intelligence, Vol. 8482, pp. 42-47, 2014. (EI)
  • 27. G. C. Lan, T. P. Hong and Y. T. Chao, "Multi-criteria utility mining using maximum constraints", Lecture Notes in Artificial Intelligence, Vol. 8733, pp. 466-471, 2014. (EI)
  • 28. T. Lu, B. Vo, H. T. Nguyen and T. P. Hong, “A new method for mining high average utility itemsets", Lecture Notes in Computer Science, Vol. 8838, pp. 33-42, 2014. (EI)
  • 29. S. S. Chen, C. F. Huang and T. P. Hong, “An improved multi-objective genetic model for stock selection with domain knowledge", Lecture Notes in Artificial Intelligence, Vol. 8916, pp. 66-73, 2014. (EI)
  • 30. C. W. Lin, W. S. Gan, T. P. Hong and J. S. Pan, "Incrementally updating high-utility itemsets with transaction insertion", Lecture Notes in Computer Science, Vol. 8933, pp. 44-56, 2014. (EI)
  • 31. C. H. Chen, T. P. Hong and Y. Li, "A type-2 fuzzy mining approach for linguistic association rules", Lecture Notes in Artificial Intelligence, Vol. 9012, pp. 128-134, 2015. (EI)
  • 32. C. W. Lin, W. S. Gan, P. Fournier-Viger and T. P. Hong, "Mining weighted frequent itemsets with the recency constraint", Lecture Notes in Computer Science, Vol. 9313, pp. 635-646, 2015. (EI)
  • 33. 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", Lecture Notes in Artificial Intelligence, Vol. 9622, pp. 191-200, 2016. (EI)
  • 34. T. P. Hong, M. T. Wu, Y. K. Li and C. H. Chen, "Mining drift of fuzzy membership functions", Lecture Notes in Artificial Intelligence, Vol. 9622, pp. 211-218, 2016. (EI)
  • 35. C. W. Lin, W. S. Gan, P. Fournier-Viger and T. P. Hong, "Mining discriminative high utility patterns", Lecture Notes in Artificial Intelligence, Vol. 9622, pp. 219-229, 2016. (EI)
  • 36. 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", Lecture Notes in Computer Science, Vol. 9658, pp. 17-30, 2016. (EI)
  • 37. 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", Lecture Notes in Artificial Intelligence, Vol. 9728, pp. 14-28, 2016. (EI)
  • 38. C. W. Lin, W. S. Gan, P. Fournier-Viger and T. P. Hong, "Efficient mining of weighted frequent itemsets in uncertain databases", Lecture Notes in Artificial Intelligence, Vol. 9729, pp. 236-250, 2016. (EI)
  • 39. J. H. Su, T. P. Hong, C. Y. Chin, Z. F. Liao and S. Y. Cheng, "A high-performance algorithm for mining repeating patterns", Lecture Notes in Artificial Intelligence, Vol. 10191, pp. 631–640, 2017. (EI)