| Induction of fuzzy rules and membership functions from training examples TP Hong, CY Lee Fuzzy sets and Systems 84 (1), 33-47, 1996 | 552 | 1996 |
| Mining association rules from quantitative data TP Hong, CS Kuo, SC Chi Intelligent data analysis 3 (5), 363-376, 1999 | 342 | 1999 |
| An effective tree structure for mining high utility itemsets CW Lin, TP Hong, WH Lu Expert Systems with Applications 38 (6), 7419-7424, 2011 | 264 | 2011 |
| Incrementally fast updated frequent pattern trees TP Hong, CW Lin, YL Wu Expert Systems with Applications 34 (4), 2424-2435, 2008 | 235 | 2008 |
| Fuzzy data mining for interesting generalized association rules TP Hong, KY Lin, SL Wang Fuzzy sets and systems 138 (2), 255-269, 2003 | 228 | 2003 |
| Adapting crossover and mutation rates in genetic algorithms WY Lin, WY Lee, TP Hong J. Inf. Sci. Eng. 19 (5), 889-903, 2003 | 224 | 2003 |
| Integrating fuzzy knowledge by genetic algorithms CH Wang, TP Hong, SS Tseng IEEE Transactions on evolutionary computation 2 (4), 138-149, 1998 | 222 | 1998 |
| Trade-off between computation time and number of rules for fuzzy mining from quantitative data TP Hong, CS Kuo, SC Chi International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2001 | 219 | 2001 |
| The computational intelligence of MoGo revealed in Taiwan's computer Go tournaments CS Lee, MH Wang, G Chaslot, JB Hoock, A Rimmel, O Teytaud, SR Tsai, ... IEEE Transactions on Computational Intelligence and AI in games 1 (1), 73-89, 2009 | 211 | 2009 |
| A new incremental data mining algorithm using pre-large itemsets TP Hong, CY Wang, YH Tao Intelligent Data Analysis 5 (2), 111-129, 2001 | 208 | 2001 |
| Mining association rules with multiple minimum supports using maximum constraints YC Lee, TP Hong, WY Lin International Journal of Approximate Reasoning 40 (1-2), 44-54, 2005 | 200* | 2005 |
| Finding relevant attributes and membership functions TP Hong, JB Chen Fuzzy Sets and systems 103 (3), 389-404, 1999 | 193 | 1999 |
| An efficient projection-based indexing approach for mining high utility itemsets GC Lan, TP Hong, VS Tseng Knowledge and information systems 38, 85-107, 2014 | 178 | 2014 |
| A survey of incremental high‐utility itemset mining W Gan, JCW Lin, P Fournier‐Viger, HC Chao, TP Hong, H Fujita Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8 (2 …, 2018 | 168 | 2018 |
| Learning rules from incomplete training examples by rough sets TP Hong, LH Tseng, SL Wang Expert Systems with Applications 22 (4), 285-293, 2002 | 158 | 2002 |
| Evolution of appropriate crossover and mutation operators in a genetic process TP Hong, HS Wang, WY Lin, WY Lee Applied intelligence 16, 7-17, 2002 | 147 | 2002 |
| A binary PSO approach to mine high-utility itemsets JCW Lin, L Yang, P Fournier-Viger, TP Hong, M Voznak Soft Computing 21, 5103-5121, 2017 | 139 | 2017 |
| Applying the maximum utility measure in high utility sequential pattern mining GC Lan, TP Hong, VS Tseng, SL Wang Expert Systems with Applications 41 (11), 5071-5081, 2014 | 138 | 2014 |
| The Pre-FUFP algorithm for incremental mining CW Lin, TP Hong, WH Lu Expert Systems with Applications 36 (5), 9498-9505, 2009 | 138 | 2009 |
| A GA-based fuzzy mining approach to achieve a trade-off between number of rules and suitability of membership functions TP Hong, CH Chen, YL Wu, YC Lee Soft Computing 10, 1091-1101, 2006 | 136 | 2006 |
