Building Web Personalization System with Time-Driven Web Usage Mining

Author:

Ramya P. T.,Sajeev G. P.

Publisher

ACM Press

Reference16 articles.

1. A. Ben-Hur, D. Horn, H. T. Siegelmann, and V. Vapnik. Support vector clustering. The Journal of Machine Learning Research, 2:125--137, 2002.

2. P. Danzig, J. Mogul, V. Paxson, and M. Schwartz. The internet traffic archive. Available at URL http://ita. ee. lbl. gov, 2000.

3. R. O. Duda, P. E. Hart, and D. G. Stork. Pattern classification. John Wiley & Sons, 2nd edition, 2012.

4. A. Guerbas, O. Addam, O. Zaarour, M. Nagi, A. Elhajj, M. Ridley, and R. Alhajj. Effective web log mining and online navigational pattern prediction. Knowledge-Based Systems, 49:50--62, 2013.

5. Y.-M. Huang, Y.-H. Kuo, J.-N. Chen, and Y.-L. Jeng. Np-miner: A real-time recommendation algorithm by using web usage mining. Knowledge-Based Systems, 19(4):272--286, 2006.

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