A Comparative Study on Web Log Clustering Approaches

Author:

G. Sudhamathy,B. Sarojini Illango,C. Jothi Venkateswaran

Publisher

Springer Berlin Heidelberg

Reference24 articles.

1. Han, Q., Gao, X., Wu, W.: Study on Web Mining Algorithm Based on Usage Mining. In: 9th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAID/CD 2008 (November 2008)

2. Lingras, P., Hogo, M., Snorek, M.: Temporal Cluster Migration Matrices for Web Usage Mining. In: Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence (2004)

3. Alam, S., Dobbie, G., Riddle, P.: Particle Swarm Optimization Based Clustering of Web Usage Data. In: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT, pp. 451–454 (2008)

4. Chen, M.S., Park, J.S., Yu, P. S.: Efficient Data Mining for Path Traversal Patterns. IEEE Transactions on Knowledge and Data Engineering, 209–221. (March/April 1998)

5. Hong, T., Chiang, M., Wang, S.H.: Mining weighted browsing patterns with linguistic minimum supports. In: IEEE International Conference on Systems, Man and Cybernetics, Yasmine Hammamet, Tunisia (2002)

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