Segmenting customer transactions using a pattern-based clustering approach

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2003, Pages 411-418

  Yang, Yinghui ^a   Padmanabhan, Balaji ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 78149303205     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Agrawal, R., Mannila, H., Srikant, R., Toivonen, H. and Verkamo, A. I., "Fast Discovery of Association Rules", Advances in Know. Discovery and Data Mining, Chapter 12, AAAI/MIT Press, 1995.
2. Allenby, G. M. and Rossi, P. E., "Marketing Models of Consumer Heterogeneity", Journal of Econometrics 89(1999) 57-78.
3. Beil, F., Eater, M. and Xu, X., "Frequent Term-Based Text Clustering", Proc. 8th Int. Conf. on Knowledge Discovery and Data Mining (KDD '2002), Edmonton, Alberta, Canada, 2002.
4. Fraley, C. and Raftery, A. E., "How many clusters? Which clustering method? - Answers via Model-Based Cluster Analysis". Technical Report no. 329, Department of Statistics, University of Washington, Computer Journal 41:578-588 (1998).
5. Fraley, C. and Raftery, A. E., "Model-Based Clustering, Discriminant Analysis, and Density Estimation", Tech Rep. 380, Department of Statistics, University of Washington, Seattle, WA, Oct. 2000. Journal of the American Statistical Association 97:611-631 (2002).
6. Gibson, D. , Kleinberg, J. , Raghavan, P. , "Clustering Categorical Data: An Approach Based on Dynamical Systems", the VLDB Conference, New York City, New York, August 1998.
7. Guha, S. , Rastogi, R., Shim K. , "ROCK: A Clustering Algorithm for Categorical Attributes", the 15th International Conference on IEEE Data Engineering, Sydney, Australia, 1999.
8. Han, E., Karypis, G., Kumar, V. and Mobasher, B., "Clustering based on association rule hypergraphs", in Proceedings of the SIGMOD'97 Workshop on Research Issues in Data Mining and Knowledge Discovery. 1997, ACM.
9. Karypis, G., Aggarwal, R., Kumar, V. and Shekhar, S., "Multilevel hypergraph partitioning: application in VLSI domain". In Proceedings of the ACM/IEEE Design Automation Conference, Canada (1997).
10. Kimbrough, S., Padmanabhan, B. and Zheng, Z., "On Usage Metric for Determining Authoritative Sites", Procs. Workshop on Information Technology and Systems WITS 2000, December 2000.
11. Wang, H., Yang, J., Wang, W., and Yu, P.S., "Clustering by Pattern Similarity in Large Data Sets", Proc. ACM SIGMOD Conference, Madison, WI, June 2002.
12. Wang, K., Xu, C. and Liu, B. "Clustering Transactions Using Large Items", Proc. 8th Int. Conf. on Information and Knowledge Management (ACM CIKM'99), Kansas City, November, 1999.
13. Yang, Y., Guan, X., You, J., "CLOPE: A Fast and Effective Clustering Algorithm for Transactional Data", SIGKDD '02, July 23-26, 2002, Edmonton, Alberta, Canada.
14. Zhao, Y. and Karypis, G., "Criterion functions for document clustering: experiments and analysis", Tech. Report #01-40, Department of Comp. Sci. & Eng., U. Minnesota, 2002.