Web user clustering analysis based on KMeans algorithm

ICINA 2010 - 2010 International Conference on Information, Networking and Automation, Proceedings

Volumn 2, Issue , 2010, Pages

  Xu, JinHua ^a   Liu, Hong ^a  

^a ZHEJIANG GONGSHANG UNIVERSITY   (China)

Author keywords

Clustering; KMeans; Similarity; Vector matrix; Web user

Indexed keywords

CLUSTERING; K-MEANS; SIMILARITY; VECTOR MATRIX; WEB USERS;

BEHAVIORAL RESEARCH; CLUSTER ANALYSIS; CLUSTERING ALGORITHMS;

WEB SERVICES;

EID: 78650496427     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICINA.2010.5636772     Document Type: Conference Paper

References (12)

1. J. Srivastava, R. Cooley, M. Deshpande, P.-N. Tan, Web usage mining: discovery and applications of usage patterns from web data, in: SIGKDD Explorations, vol. 1 (2), 2000, pp. 12-23.
2. B. Mobasher, H. Dai, T. Luo, M. Nakagawa, Effective personalization based on association rule discovery from web usage data, in: Proc. of wIDM, 2001.
3. Q. Yang, H.H. Zhang, T. Li, Mining web logs for prediction models in WWW caching and prefetching, in: Proc. of ACM SIGKDD, 2001.
4. T. Li, Q. Yang, K. wang, Classification pruning for web-request prediction, in: Proc. of www, 2001.
5. B. Mobasher, R. Cooley, J. Srivastava, Creating adaptive web sites through usage-based clustering of URLs, in: Proc. of IEEE KDEX workshop, 1999.
6. Mobasher, B., Cooley R., and Srivastava, J. Creating Adaptive Web Sites Through Usage-based Clustering of URLs, Proceedings of the 1999 Workshop on Knowledge and Data Engineering Exchange, 1999.
7. Lalmas, M. Dempster-Shafer's Theory of Evidence applied to Structured Documents: modeling Uncertainty, SIGIR97, Philadelphia, USA, 1997.
8. Perkowitz, M., Etzioni, O. Adaptive Web sites: automatically synthesizing Web pages in Proceedings of Fifteenth National Conference on Artificial Intelligence, Madison, WI, 1998.
9. D.S. Phatak, R. Mulvaney, Clustering for personalized mobile web usage, in: Proceedings of the IEEE FUZZ'02, Hawaii, USA, 2002, pp.705-710.
10. R. Cooley, Web Usage Mining: Discovery and Application of Interesting Patterns from Web Data, Ph.D. Thesis, University of Minnesota, May 2000.
11. O. Nasraoui, R. Krishnapuram, A new evolutionary approach to Web usage and context sensitive associations mining, International Journal on Computational Intelligence and Applications-Special Issue on Internet Intelligent Systems 2 (3) (September 2002) 339-348.
12. Y. Xie, V. Phoha, Web user clustering from access log using belief function, in: Proceedings of the ACM K-CAP'01, First International Conference on Knowledge Capture, Victoria, British Columbia, Canada, (2001), pp. 202-208.