[1] Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data, Jaideep Srivastava, Robert Cooleyz , Mukund Deshpande, Pang-Ning Tan, ACM SIGKDD, Jan 2000.
[2] K. Chinen and S. Yamaguchi An Interactive Prefetching Proxy Server for Improvement of WWW Latency. In Proceedings of the SeventhAnnual Conference of the Internet Society (INEt’97),Kuala Lumpur, June 1997.
[3] Garofalakis M. N., Rastogi R., Sheshadri S., and Shim K.,“Data mining and the Web: past, present and future.” InProceedingsof the second international workshop on Web information and data management, ACM, 1999.
[4] Fu Y., Sandhu K., and Shih M., “Clustering of Web Users Based on Access Patterns” International Workshop on Web Usage Analysis and User Profiling (WEBKDD’99), San Diego, CA, 1999.
[5] Pitkow J. and Pirolli P. Mining longest repeating subsequences to predict www surfing.In Proceedings of the 1999 USENIX Annual Technical Conference, 1999.
[6] Z.Su, Q. Yang, Y. Lu, and H. Zhang. Whatnext: A prediction system for web requests using n- gram sequence models. In Proceedings of the First International Conference on Web Information System and Engineering Conference, pages 200-207, Hong Kong, June 2000.
[7] Phoha V. V., Iyengar S.S., and Kannan R., “Faster Web Page Allocation with Neural Networks,” IEEE Internet Computing, Vol. 6, No. 6, pp. 18-26, December 2002.
[8] Zhang T., Ramakrishnan R., and Livny M., “Birch: AnEfficient Data Clustering Method for Very Large Databases.” In Proceedings of the ACM SIGMODConference on Management of Data, pages 103-114, Montreal, Canada, June 1996.
[9] Cadez I., Heckerman D., Meek C., Smyth P., and Whire S., “Visualization of Navigation Patterns on a Website Using Model Based Clustering.” Technical Report MSRTR-00-18, Microsoft Research, March 2002.
[10] Podlipnig S, Boszormenyi L.A survey of Web cache replacementstrategies. ACM Compute Surveys 2003;35 (4):374–98.
[11] Rabinovich M, Spatsheck O. Web caching and replication. Addison Wesley; 2002.
[12] TengWG, Chang CY, Chen MS. Integrating Web caching and Web prefetching in client-side proxies. IEEE Trans Parallel Distributed Syst 2005;16(5):444–55.
[13] Schloegel K, Karypis G, Kumar V. Parallel multilevel algorithms for multi-constraint graph partitioning. In: Proceedings of 6th international Euro-Par conference. September 2000. p. 296– 310.
[14] Vakali A, Pokorny J, Dalamagas T.An overview of Web data clustering practices. In: Proceedings of the EDBT Workshops 2004. Heraklion, Crete; 2004. p. 597–606.
[15] Nanhay Singh, Arvind Panwar and Ram Shringar Raw Enhancing the performance of Web Proxy Server using Cluster Based Pre-fetching technique. IEEE2013.
[16] A Survey of Web Caching and Prefetching"( Waleed Ali Siti Mariyam Shamsuddin, and Abdul Samad Ismail)( 2011)
[17] A Survey On Web Pre-Fetching and Web Caching Techniques in a Mobile Environment"(Greeshma G. Vijayan1 and Jayasudha J. S.) (2012)
[18] Survey on Improving the Performance of Web by Evaluation of Web Prefetching and Caching Algorithms" (Arun Pasrija) ( 2013)
[19] Survey of Recent Web Prefetching Techniques" (Sonia Setia, Dr. Jyoti, Dr. Neelam Duhan) ( 2013)
[20] Study of Web Pre-Fetching With Web Caching Based On Machine Learning Technique " (K R Baskaran, Dr. C.Kalarasan, A Sasi Nachimuthu) (2013)
[21] Hybrid Approach for Performance of Web Page Response through Web Usage Mining”(Ravinder Singh,Bhumika garg) (2014)
[22]Data Mining for Intelligent Web Caching Francesco Bonchi Fosca Giannotti Giuseppe Manco Chiara Renso CNUCE-CNR – Institute of Italian National Research Council Via Alfieri 1, 56010 Ghezzano (PI) Italy.
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