A novel evolutionary data mining algorithm with applications to churn prediction
Wai-Ho Au;K.C.C. Chan;Xin Yao.
IEEE Transactions on Evolutionary Computation (2003)
Class-dependent discretization for inductive learning from continuous and mixed-mode data
J.Y. Ching;A.K.C. Wong;K.C.C. Chan.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1995)
Attribute Clustering for Grouping, Selection, and Classification of Gene Expression Data
Wai-Ho Au;Keith C. C. Chan;Andrew K. C. Wong;Yang Wang.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2005)
Mining fuzzy association rules
Keith C. C. Chan;Wai-Ho Au.
conference on information and knowledge management (1997)
Costs and benefits of ISO 9000 series: a practical study
Hareton K.N. Leung;Keith C.C. Chan;T.Y. Lee.
International Journal of Quality & Reliability Management (1999)
An effective algorithm for discovering fuzzy rules in relational databases
Wai-Ho Au;K.C.C. Chan.
ieee international conference on fuzzy systems (1998)
Pair programming productivity: Novice-novice vs. expert-expert
Kim Man Lui;Keith C. C. Chan.
International Journal of Human-computer Studies / International Journal of Man-machine Studies (2006)
An evolutionary clustering algorithm for gene expression microarray data analysis
P.C.H. Ma;K.C.C. Chan;Xin Yao;D.K.Y. Chiu.
IEEE Transactions on Evolutionary Computation (2006)
Predicting protein-protein interactions from primary protein sequences using a novel multi-scale local feature representation scheme and the random forest.
Zhu-Hong You;Keith C. C. Chan;Pengwei Hu.
PLOS ONE (2015)
Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding
Yu-An Huang;Zhu-Hong You;Xing Chen;Keith C. C. Chan.
BMC Bioinformatics (2016)
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