Pattern discovery for large mixed-mode database

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2010, Pages 859-868

  Wong, Andrew K C ^a   Wu, Bin ^a   Wu, Gene P K ^b   Chan, Keith C C ^b  

^a UNIVERSITY OF WATERLOO   (Canada)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Attribute clustering; Data mining; Mixed mode data; Mutual information; Pattern discovery; Unsupervised discretization

Indexed keywords

ATTRIBUTE CLUSTERING; MIXED-MODE DATA; MUTUAL INFORMATIONS; PATTERN DISCOVERY; UNSUPERVISED DISCRETIZATION;

CLUSTERING ALGORITHMS; DATA MINING; DATABASE SYSTEMS; KNOWLEDGE MANAGEMENT; PROBLEM SOLVING;

DATA PROCESSING;

EID: 78651311248     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1871437.1871547     Document Type: Conference Paper

References (26)

1. Agrawal, R., Ghost, S., Imielinski, T., Iyer, B., and Swami, A. 1992. An interval classifier for database mining applications. In Proc. Int. Conf. Very L. 560-573.
2. Alon, U., Barkai, N., Notterman, DA., Gish, K., Ybarra, S., Mack, D., and Levine, A.J. 1999. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. In Proc. of the National Academy of Sciences of the United States of America. 96, 12, 6745-6750.
3. Asuncion, A., and Newman, D.J. 2007. UCI machine learning repository. Irvine, CA: University of California, School of Information and Computer Science. DOI=http://archive.ics.uci.edu/ml/.
4. Au, W.H., Chan, K.C.C., and Yao, X. 2003. A novel evolutionary data mining algorithm with applications to churn prediction. IEEE T. Evolut. Comput. 7, 6 (Dec. 2003), 532-545.
5. Au, W.H., Chan, K.C.C., Wong, A.K.C., and Wang, Y. 2005. Attribute clustering for grouping, selection, and classification of gene expression data. IEEE-ACM T. Comput. Bi. 2, 2 (Apr. 2005), 83-101. (Pubitemid 41049910)
6. Ben-Dor, A., Bruhn, L., Friedman, N., Nachman, I., Schummer, M., and Yakhini, Z. 2000. Tissue classification with gene expression profiles. In Proceedings of the Fourth Annual International Conference on Computational Molecular Biology.
7. Chau, T., and Wong, A.K.C. 1999. Pattern discovery by residual analysis and recursive partitioning. IEEE T. Knowl. Data. En.\\, 6 (Nov. 1999), 833-854.
8. Ching, J.Y, Wong, A.K.C, and Chan, K.C.C. 1995. Class-dependent discretization for inductive learning from continuous and mixed-mode data. IEEE T. Pattern Anal. 17, 7(Jul. 1995), 631-641.
9. Chiu, D., Wong, A.C.K., and Cheung, B. 1990. Information discovery through hierarchical maximum entropy. J. Exp. Theor. Artif In. 2, 117-129.
10. Ho, K. M., and Scott, P.D. 1997. Zeta: A global method for discretization of continuous variables. InD. Heckerman, H. Mannila, D. Pregibon, and R. Uthurusamy, editors, Knowledge Discovery and Data Mining, AAA! Press. 191-194.
11. Kohavi, R., John, G., Long, R., Manley, D., and Pfleger, K. 1994. Mlc++: a machine learning library in c. In Proc Int. C Tools Art.
12. Kurgan, L., and Cios, K.J. 2001. Discretization algorithm that uses class-attribute interdependence maximization. In Proceedings of the 2001 International Conference on Artificial Intelligence (IC-AI 2001), 980-987.
13. Liu, PL, Hussain, F., Tan, C.L., and Dash, M. 2002. Discretization: an enabling technique. Data Min. Knowl. Disc. 6, 4 (Oct. 2002), 393-423.
14. Liu, L., Wong, A.K.C, and Wang, Y. 2004. A global optimal algorithm for class-dependent discretization of continuous data. Intell. Data Anal. 8, 2, 151-170.
15. Quinlan, J.R. 1993. C4.5: Programs for Machine Learning. Morgan Kauffman, San, Mateo CA.
16. Wang, C. C, and Wong, A. K. C. 1979. Classification of discrete-valued data with feature space transformation. IEEE T. Automat. Contr. 24, 3, 434-437.
17. *e. Pattern Discovery Technologies. DOI=http://www.patterndiscovery.com.
18. Wang, Y., and Wong, A.K.C. 2003. From association to classification: inference using weight of evidence. IEEE T. Knowl. Data. En. 15, 3, 914-925, 2003
19. Wong, A.K.C, and Wang, Y. 2003. Pattern discovery: a data driven approach to decision support. IEEE T Syst. Man Cy. C, 33, 1, 114-124.
20. Wong, A.K.C, and Chiu, D. K. Y. 1987. Synthesizing statistical knowledge from incomplete mixed-mode data. IEEE T. Pattern Anal. 9, 8 (Nov. 1987), 796-805.
21. Wong, A.K.C, and Liu, T.S. 1975. Typicality, diversity and feature patterns of an ensemble. IEEE T. Comput. 24, 2 (Feb. 1975), 158-181.
22. Wong, A.K.C, and Wang, Y. 1997. High order pattern discovery from discrete-valued data. IEEE T. Knowl. Data. En. 9, 6 (Nov. 1997), 877-893.
23. Wong, A.K.C, Chiu D.K. Y., and Huang, W. 2001. A discrete-valued clustering algorithm with applications to bimolecular data. Information Sciences, 139, 1-2 (Nov. 2001), 97-112.
24. Wong, A.K.C, Liu, T.S., and Wang, C.C. 1976. Statistical analysis of residue variability in Cytochrome C. J. Mol. Biol. 102, 2(Apr. 1976), 287-295.
25. Wong, A.K.C, and Li, G.C.L. 2008. Simultaneous pattern and data clustering for pattern cluster analysis. IEEE T. Knowl. Data. En. 20, 7 (Jul. 2008), 911-923.
26. Wong, A.K.C, and Li, G.C.L. 2010. Association pattern analysis for pattern pruning, pattern clustering and summarization, to appear in Journal of Knowledge and Information Systems, 2010.