A clustering model for mining evolving web user patterns in data stream environment

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3177, Issue , 2004, Pages 565-571

  Wu, Edmond H ^a   Ng, Michael K ^a   Yip, Andy M ^b   Chan, Tony F ^b  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33947127397     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28651-6_83     Document Type: Article

References (5)

1. E. H. Wu, M. K. Ng, and J. Z. Huang, On mproving website connectivity by using web-log data streams, Proc. of the 9th International Conference on Database Systems for Advanced Applications (DASFAA 2004), Jeju, Korea, 2004.
2. E. H. Wu, M. K. Ng, A graph-based optimization algorithm for Website topology using interesting association rules, Proc. of the Seventh Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2003), Seoul, Korea, 2003.
3. C. Yang, U. Fayyad, and P. S. Bradley, Efficient discovery of error-tolerant frequent itemsets in high dimensions, Proceedings of the Seventh ACM SIGKDD Conference, San Francisco, California, pp. 194-203, 2001.
4. Q. Yang, J. Z. Huang and M. K. Ng, A data cube model for prediction-based Web prefetching, Journal of Intelligent Information Systems, 20:11-30, 2003.
5. Andy M. Yip, Edmond H.Wu, Michael K.Ng, Tony F. Chan, An efficient algorithm for dense regions discovery from large-scale data stream, Proc. of the 8th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2004), 2004.