Algorithms for clustering clickstream data

Author:

Antonellis Panagiotis,Makris Christos,Tsirakis Nikos

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Signal Processing,Theoretical Computer Science

Reference15 articles.

1. C.C. Aggarwal, J. Han, J. Wang, P.S. Yu, A framework for clustering evolving data streams, in: Proceedings of the 29th VLDB Conference, 2003, pp. 81–92

2. A. Banerjee, J. Ghosh, Concept-based clustering of clickstream data, in: Proceedings of 3rd International Conference on Information Technology, 2000, pp. 145–150

3. R. Cooley, B. Mobasher, J. Srivastava, Web mining: Information and pattern discovery on the World Wide Web, in: Proceedings of the 9th IEEE International Conference on Tools with Artificial Intelligence, 1997, pp. 558–567

4. Y. Fu, K. Sandhu, M.-Y. Shih, A generalization-based approach to clustering of web usage sessions, in: International WEBKDD, 1999, pp. 21–38

5. M.N. Garofalakis, R. Rastogi, S. Seshadri, K. Shim, Data mining and the web: Past, present and future, in: Proceedings of the 2nd International Workshop on Web Information and Data Management, 1999, pp. 43–47

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