Lessons from the Application of Domain-Independent Data Mining System for Discovering Web User Access Patterns

Author:

Borzemski Leszek,Druszcz Adam

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. Albanese, M., Picariello, A., Sansone, C., Sansone, L.: A Web Personalization System based on Web Usage Mining Techniques. In: WWW 2004. ACM Press, New York (2004)

2. Arlit, M., Jin, T.: A Workload Characterization Study of the 1998 World Cup Web Site. IEEE Network, 300–373 (May-June 2000)

3. Lecture Notes in Computer Science;L. Borzemski,2004

4. Chakrabarti, S.: Mining the Web: Analysis of Hypertext and Semi Structured Data. Morgan Kaufmann, San Francisco (2003)

5. Chen, M.-S., Park, J.S., Yu, P.S.: Efficient Mining Date for Path Traversal Patterns in Distributed Systems. In: 16th IEEE Int. Conf. on Distributed Computing Systems (1996)

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1. Towards Web Performance Mining;Web Mining Applications in E-commerce and E-services;2009

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