A novel evolutionary data mining algorithm with applications to churn prediction WH Au, KCC Chan, X Yao IEEE transactions on evolutionary computation 7 (6), 532-545, 2003 | 514 | 2003 |
Class-dependent discretization for inductive learning from continuous and mixed-mode data JY Ching, AKC Wong, KCC Chan IEEE Transactions on Pattern Analysis and Machine Intelligence 17 (7), 641-651, 1995 | 361 | 1995 |
Attribute clustering for grouping, selection, and classification of gene expression data WH Au, KCC Chan, AKC Wong, Y Wang IEEE/ACM transactions on computational biology and bioinformatics 2 (2), 83-101, 2005 | 271 | 2005 |
Mining fuzzy association rules KCC Chan, WH Au Proceedings of the sixth international conference on information and …, 1997 | 254 | 1997 |
Analysis of plasma Epstein-Barr virus DNA in nasopharyngeal cancer after chemoradiation to identify high-risk patients for adjuvant chemotherapy: a randomized controlled trial ATC Chan, EP Hui, RKC Ngan, SY Tung, ACK Cheng, WT Ng, VHF Lee, ... Journal of clinical oncology 36 (31), 3091-3100, 2018 | 235 | 2018 |
Costs and benefits of ISO 9000 series: a practical study HKN Leung, KCC Chan, TY Lee International Journal of Quality & Reliability Management 16 (7), 675-691, 1999 | 233 | 1999 |
Predicting protein-protein interactions from primary protein sequences using a novel multi-scale local feature representation scheme and the random forest ZH You, KCC Chan, P Hu PloS one 10 (5), e0125811, 2015 | 183 | 2015 |
Pair programming productivity: Novice–novice vs. expert–expert KM Lui, KCC Chan International Journal of Human-computer studies 64 (9), 915-925, 2006 | 174 | 2006 |
Public sentiment analysis in Twitter data for prediction of a company's stock price movements L Bing, KCC Chan, C Ou 2014 IEEE 11th International Conference on e-Business Engineering, 232-239, 2014 | 168 | 2014 |
Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding YA Huang, ZH You, X Chen, K Chan, X Luo BMC bioinformatics 17, 1-11, 2016 | 158 | 2016 |
An effective algorithm for discovering fuzzy rules in relational databases WH Au, KCC Chan 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World …, 1998 | 157 | 1998 |
An evolutionary clustering algorithm for gene expression microarray data analysis PCH Ma, KCC Chan, X Yao, DKY Chiu IEEE Transactions on Evolutionary Computation 10 (3), 296-314, 2006 | 145 | 2006 |
Mining fuzzy association rules in a bank-account database WH Au, KCC Chan IEEE Transactions on Fuzzy Systems 11 (2), 238-248, 2003 | 137 | 2003 |
A statistical technique for extracting classificatory knowledge from databases KCC Chan Knowledge discovery in databases, 1991 | 128 | 1991 |
Discovering public sentiment in social media for predicting stock movement of publicly listed companies B Li, KCC Chan, C Ou, S Ruifeng Information Systems 69, 81-92, 2017 | 127 | 2017 |
ILNCSIM: improved lncRNA functional similarity calculation model YA Huang, X Chen, ZH You, DS Huang, KCC Chan Oncotarget 7 (18), 25902, 2016 | 127 | 2016 |
FARM: A data mining system for discovering fuzzy association rules WH Au, KCC Chan FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings …, 1999 | 126 | 1999 |
An efficient approach based on multi-sources information to predict circRNA–disease associations using deep convolutional neural network L Wang, ZH You, YA Huang, DS Huang, KCC Chan Bioinformatics 36 (13), 4038-4046, 2020 | 123 | 2020 |
Improving quality management on the basis of ISO 9000 TY Lee, HKN Leung, KCC Chan The TQM Magazine 11 (2), 88-94, 1999 | 122 | 1999 |
Constructing prediction models from expression profiles for large scale lncRNA–miRNA interaction profiling YA Huang, KCC Chan, ZH You Bioinformatics 34 (5), 812-819, 2018 | 107 | 2018 |