International Journal of Soft Computing

Year: 2015
Volume: 10
Issue: 1
Page No. 19 - 24

Cluster Optimization for Improved Web Usage Mining Using WebBEE

Authors : Anna Alphy and S. Prabakaran

References

Becker, K. and M. Vanzin, 2010. O3R: Ontology-based mechanism for a human-centered environment targeted at the analysis of navigation patterns. Knowl. Based Syst., 23: 455-470.
CrossRef  |  

Cooley, R., B. Mobasher and J. Srivatsava, 1997. Web mining: Information and pattern discovery on the world wide web. Proceedings of the 9th IEEE International Conference on Tools with Artificial Intelligence, November 3-8, 1997, Newport Beach, CA., pp: 558-567.

Eirinaki, M., M. Vazirgiannis and I. Varlamis, 2003. SEWeP: Using site semantics and a taxonomy to enhance the Web personalization process. Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 24-27, 2003, Washington, DC., USA., pp: 99-108.

Fong, A.C.M., B. Zhou, S.C. Hui, G.Y. Hong and T.A. Do, 2011. Web content recommender system based on consumer behavior modeling. IEEE Trans. Consum. Electron., 57: 962-969.
CrossRef  |  Direct Link  |  

Jalali, M., N. Mustapha, M.N. Sulaiman and A. Mamat, 2010. WebPUM: A Web-based recommendation system to predict user future movements. Expert Syst. Appl., 37: 6201-6212.
CrossRef  |  

Karaboga, D. and C. Ozturk, 2011. A novel clustering approach: Artificial Bee Colony (ABC) algorithm. Applied Soft Comput., 11: 652-657.
CrossRef  |  Direct Link  |  

Lee, C.H., Y.L. Lo and Y.H. Fu, 2011. A novel prediction model based on hierarchical characteristic of web site. Expert Syst. Appl., 38: 3422-3430.
CrossRef  |  

Mobasher, B., H. Dai, T. Luo, Y. Sun and J. Zhu, 2000. Integrating web usage and content mining for more effective personalization. LNCS, Vol. 1875, Proceedings of the 1st International Conference in Electronic Commerce and Web Technologies, September 4-6, 2000, London, UK., pp: 165-176.

Nasraoui, O., H. Frigui, R. Krishnapuram and A. Joshi, 2000. Extracting web user profiles using relational competitive fuzzy clustering. Int. J. Artificial Intell. Tools, 9: 509-526.
CrossRef  |  Direct Link  |  

Nasraoui, O., M. Soliman, E. Saka, A. Badia and R. Germain, 2008. A web usage mining framework for mining evolving user profile in dynamic web sites. IEEE Trans. Knowl. Data Eng., 20: 202-215.
CrossRef  |  Direct Link  |  

Nasraoui, O., R. Krishnapuram and A. Joshi, 1999. Mining web access logs using a relational clustering algorithm based on a robust estimator. Proceedings of the 8th International World Wide Web Conference, May 11-14, 1999, Canada, pp: 40-41.

Perkowitz, M. and O. Etzioni, 1997. Adaptive sites: Automatically learning from user access patterns. Proceedings of the 6th International World Wide Web Conference, April 7-11, 1997, Santa Clara, California -.

Petridou, S.G., V.A. Koutsonikola, A.I. Vakali and G.I. Papadimitriou, 2008. Time aware web users clustering. IEEE Trans. Knowl. Data Eng., 20: 653-667.
CrossRef  |  

Spiliopoulou, M. and L.C. Faulstich, 1998. WUM: A web utilization miner. Proceedings of the 1st International Workshop on Web and Databases, (WebDB'98), Spain, pp: 241-253.

Srivastava, J., R. Cooley, M. Deshpande and P.N. Tan, 2000. Web usage mining: Discovery and applications of usage patterns from web data. SIGKDD Explorat., 1: 1-12.
Direct Link  |  

Yan, T.W., M. Jacobsen, H. Garcia-Molina and U. Dayal, 1996. From user access patterns to dynamic hypertext linking. Comput. Networks ISDN Syst., 28: 1007-1014.
CrossRef  |  

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