Keith C.C. Chan

Professor & Head

Department of Computing

The Hong Kong Polytechnic University

Hung Hom, Kowloon

HONG KONG

Phone: +(852) 2766 7262

Fax: +(852) 2170 0106

Email: cskcchan@comp.polyu.edu.hk

 

Education:

 

·            Ph.D. in Systems Design Engineering                University of Waterloo, Canada               1989

·            M.A.Sc. in Systems Design Engineering            University of Waterloo, Canada               1985

·            B.Math. in Computer Science & Statistics         University of Waterloo, Canada               1984

 

Journal and Book Series Editorship:

 

·         Guest Editor, Springer Transactions on Computational Sciences (TCS): Cognitive Knowledge Representation.(2008).

·         Special Issue Editor, The Journal of VLSI Signal Processing: Special Issue in Bioinformatics.(2007).

·         Editorial Board Member, Springer Transactions on Biometrics Authentication (since 2006).

·         Editorial Board Member, International Journal of Cognitive Informatics and Natural Informatics (IJCiNi) (since 2005).

·         Editorial Board Member, International Journal of Bioinformatics Research and Applications (IJBRA) (since 2004).

·         Editorial Board Member, International Journal of Computers and Applications, (Since 2004).

·         Associate Editor, Asian-Pacific Journal of Business and Information Systems, (1995-2000).

 

Selected Publications In Data Mining And Machine Learning:

 

1.      Ma, P.C.H., and Chan, K.C.C., "Inference of gene regulatory networks from expression data by discovering fuzzy dependency relationships." IEEE Transactions on Fuzzy Systems. (To appear).

2.      Ma, P.C.H., and Chan, K.C.C., "An Effective Data Mining Technique for Reconstructing Gene Regulatory Networks from Time Series Expresson Data." Journal of Bioinformatics and Computational Biology. Vol. 5, No. 3, June, 2007, pp. 651-668.

3.      Au, W.H., Chan, K.C.C. and Wong, A.K.C., “A Fuzzy Approach to Partitioning Continuous Attributes for Classification.” IEEE Transaction on Knowledge and Data Engineering. Vol. 18, No. 5, 2006, pp.715-719.

4.      P.C.H. Ma, K.C.C. Chan, Xin Yao and D.K.Y. Chiu, "An evolutionary clustering algorithm for gene expression microarray data analysis," IEEE Transactions on Evolutionary Computation, Vol. 10, No. 3, 2006, pp. 296-314.

5.      Au, W.H., Chan, K.C.C. Wong, A.K.C., and Yang, W., “Attribute Clustering for Grouping, Selection and Classification of Gene Expression Data.” IEEE/ACM Transactions on Computational Biology and Bioinformatics. Vol.2, No. 2, April-June, 2005, pp.83-101.

6.      Ma, C.H., Chan, K.C.C., and Chiu, D.K.Y., “Clustering and Re-clustering for Pattern Discovery in Gene Expression Data.” Journal of Bioinformatics and Computational Biology, Vol. 3 No. 2, April, 2005, pp. 281-302

7.      Au, W.H., and Chan, K.C.C. “Mining Changes in Association Rules: A Fuzzy Approach”, Fuzzy Sets and Systems. Vol. 149, No. 1, Jan., 2005, pp. 87-104.

8.      Au, W.H., Chan, K.C.C., and Yao, X., “A Novel Evolutionary Data Mining Algorithm with Applications to Churn Modeling”, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 6, December, 2003, pp. 532-545.

9.      Au, W.H. and Chan, K.C.C., “Discovering Fuzzy Association Rules in A Bank Database”, IEEE Transactions on Fuzzy Systems, Vol. 11, No. 2, 2003, pp. 238-248.

10.  Chung, L.L.H., and Chan, K.C.C., “Evolutionary Discovery of Fuzzy Concepts in Data,” Journal of Brain and Mind, Vol. 4, Issue 2, August, 2003, pp. 253-268.

11.  Au, W.H., and Chan, K.C.C., “Classification with Degrees of Membership: A Fuzzy Approach.” Proceedings of the 2001 IEEE International Conference on Data Mining, San Jose, CA, Nov., 28-Dec. 3, 2001, pp.35-42.

12.  Chan, K.C.C., Lee, V., and Leung, H., “Generating Fuzzy Rules for Target Tracking Using A Steady-State Genetic Algorithm.” IEEE Transactions on Evolutionary Computation, No. 1, Vol. 3, Sept., 1997, pp.189-200.

13.  Chan, K.C.C., Lee, V., and Leung, H., “Radar Tracking for Air Surveillance in A Stressful Environment Using A Fuzzy-Gain Filter.”  IEEE Transactions on Fuzzy Systems, Vol. 5, No. 1, Feb., 1997, pp.80-89.

14.  Hui, P., Chan, K.C.C., Yeung, Y.W., “Modeling Job Complexity in Garment Manufacture by Inductive Learning.” International Journal of Clothing Science and Technology, Vol. 9, No. 1, 1997, pp.34-44.

15.  Ching, J.Y., Wong, A.K.C., and Chan, K.C.C., “Class-Dependent Discretization for Inductive Learning from Continuous and Mixed-Mode Data”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 17, No. 7, July, 1995, pp. 641-651.

16.  Chan, K.C.C., Wong, A.K.C., and Chiu, D.K.Y., “Learning Sequential Patterns for Probabilistic Inductive Prediction.” IEEE Transactions on Systems, Man and Cybernetics, Vol. 24, No. 10, 1994, pp. 1532-47.

17.  Chiu, D.K.Y., Wong, A.K.C., and Chan, K.C.C., "Synthesis of Statistical Knowledge from Time-Dependent Data", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 13, No. 3, 1991, pp. 265-271.

18.  Chan, K.C.C., and Wong, A.K.C., "A Statistical Technique for Extracting Classificatory Knowledge from Databases".  In G. Piatesky-Shapiro and W.J. Frawley, (eds.), Knowledge Discovery in Databases, AAAI Press/MIT Press, Cambridge, Mass., 1991, pp. 108-123.

19.  Chan, K.C.C., and Wong, A.K.C., "APACS: A System for Automated Pattern Analysis and Classification", Computational Intelligence: An International Journal, Vol. 6, 1990, pp. 119-131.

20.  Wong, A.K.C. and Chan, K.C.C., "Automating the Knowledge Acquisition Process in The Construction of Medical Expert Systems", Artificial Intelligence in Medicine, Vol. 2, 1990, pp. 267-292.