Characterizing Web user accesses: A transactional approach to Web log clustering

Proceedings - International Conference on Information Technology: Coding and Computing, ITCC 2002

Volumn , Issue , 2002, Pages 312-317

  Giannotti, Fosca ^a   Gozzi, Cristian ^a   Manco, Giuseppe ^a  

^a CNR   (Italy)

Author keywords

Clustering algorithms; Data analysis; Databases; Information technology; Iterative algorithms; Partitioning algorithms; Scalability; Standards development; Web pages

Indexed keywords

ALGORITHMS; DATA REDUCTION; DATABASE SYSTEMS; INFORMATION TECHNOLOGY; ITERATIVE METHODS; SCALABILITY; WEBSITES;

CATEGORICAL DATA; CLUSTER CENTROIDS; ITERATIVE ALGORITHM; K-MEANS ALGORITHM; PARTITIONING ALGORITHMS; PARTITIONING METHODS; STANDARD DEFINITIONS; STANDARDS DEVELOPMENT;

CLUSTERING ALGORITHMS;

EID: 84901850755     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITCC.2002.1000408     Document Type: Conference Paper

References (11)

1. I. Dhillon and D. Modha. Concept Decomposition for Large Sparse Data Using Clustering. Machine Learning, 42:143-175, 2001.
2. D. Fasulo. An analysis of Recent Work on Clustering Algorithms. Technical report, University of Washington, April 1999. Available at http//www. cs. washington. edu/homes/dfasulo.
3. M. Grötschel and Y. Wakabayashi. A cutting plane algorithm for a clustering problem. Mathematical Programming, 45:59-96, 1989.
4. J. Han and M. Kamber. Data Mining Techniques. Morgan Kaufman, 2001.
5. P. Jaccard. The Distribution of the Flora of the Alpine Zone. New Phytologist, pages 37-50, 1912.
6. V. Kumar. An introduction to cluster analysis for data mining. Technical report, University of Minnesota, 2000.
7. R. Cooley B. Mobasher and J. Srivastava. Grouping Web Page References into Transactions for Mining World Wide Web Browsing Patterns. In Proceedings of the IEEE Knowledge and Data Engineering Exchange Workshop (KDEX-97), 1997.
8. L. Schulman. Clustering for Edge-CostMinimization. In Proceedings of the thirty-second annual acm symposium on Theory of computing, pages 547-555, Portland, USA, May 2000.
9. R. Srikant. Fast Algorithms for Mining Association Rules and Sequential Patterns. PhD thesis, University of Wisconsin-Madison, 1996.
10. M. Steinbach, G. Karypis, and V. Kumar. A Comparison of Document Clustering Techniques. In ACM-SIGKDD Workshop on Text Mining, 2000.
11. A. Strehl, J. Ghosh, and R. Mooney. Impact of Similarity Measures on Web-page Clustering. In K. Bollacker, editor, Proceedings of AAAI workshop on AI for Web Search, pages 58-64. AAAI Press, July 2000.