Abstract
Combining the paths similarity and the pages content similarity, a novel clustering algorithm is presented. The actions character of users is revealed more exactly by clustering. The data scale is reduced by a long way during clustering. Based on the clusters, the user navigation patterns are generated by mining the Web log. The experiment result shows that the user navigation interest conversion patterns mined from Web log are typical and intuitionistic.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Wang, S., Gao, W., et al.: Path clustering: Discovering the Knowledge in the Web Site. Journal of Computer Research & Development 38, 482–486 (2001)
Mobasher, B., Cooley, R., Srivastava, J.: Creating Adaptive Web Sites through Usage-Based Clustering of URLs. In: IEEE Knowledge and Data Engineering Workshop (KDEX 1999), pp. 32–37. IEEE Press, New York (1999)
Larsen, B., Aone, C.: Fast and Effective Text Mining Using Linear-Time Document Clustering. In: Proc. of the 5th ACM SIGKDD Int’l Conf. on Knowledge Discovery & Data Mining (KDD 1999), San Diego, pp. 16–22 (1999)
Büchner, A.G., Mulvenna, M.D.: Discovering Behavioral Patterns in Internet Log Files: Playing the Devil’S Advocate. In: Proc. of the 12th Biennial Int’l Telecommunications Society Conf . (ITS 1998), Stockholm (1998)
Han, J., Pei, J., et al.: Prefix Span: Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth. In: Proc. 2001 Int’l Conf. on Data Engineering (ICDE 2001), Heidelberg, pp. 215–224 (2001)
Cooley, R., Mobasher, B., Srivastava, J.: Data Preparation for Mining World Wide Web Browsing Patterns. In: Knowledge and Information Systems, vol. 1, pp. 5–32. Springer, London (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Feng, G., Ma, GS., Hu, J. (2006). Web Navigation Patterns Mining Based on Clustering of Paths and Pages Content. In: Shen, H.T., Li, J., Li, M., Ni, J., Wang, W. (eds) Advanced Web and Network Technologies, and Applications. APWeb 2006. Lecture Notes in Computer Science, vol 3842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11610496_118
Download citation
DOI: https://doi.org/10.1007/11610496_118
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31158-4
Online ISBN: 978-3-540-32435-5
eBook Packages: Computer ScienceComputer Science (R0)