Abstract
Performance and other service quality attributes are crucial to user satisfaction of web services. Web Mining provides the key to un- derstanding web traffic behavior, which in turn explain the increasing interest in this domain and its high number of its possible applications. In this paper, we apply Web Usage Mining techniques to propose an intelligent caching solution with the goal of improving the quality of ser- vice of web sites. We found that empowering caching with a prefetching engine that predicates the components of pages to be used in the near future by users can enhance web sites performances. This is allowed by analyzing the historical of navigation of a web site reported in log files and by determining the set of components to be sollicitated in the future using frequent closed itemsets.
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References
Challenger, J., Dantzig, P., Iyengar, A., Witting, K.: A fragment-based approach for efficiently creating dynamic web content. ACM Trans. Internet Techn. 5(2), 359–389 (2005)
Chang, C.-Y., Chen, M.-S.: A new cache replacement algorithm for the integration of web caching and prefectching. In: Proceedings of CIKM, Virginia, USA, pp. 632–634 (2002)
cooley, R.: Web usage mining: Discovery and application of interesting patterns from web data. PhD thesis, University of Minnesota, USA (2000)
Crovella, M., Barford, P.: The network effects for prefetching. In: Proc. IEEE INFOCOM 1998, pp. 1232–1240 (1998)
Datta, A., Dutta, K., Thomas, H., VanderMeer, D.: A comparative study of alternative middle tier caching solutions to support dynamic web content acceleration. In: Proceedings of the 27th VLDB Conference, Roma, Italy, pp. 11–14 (2001)
Gouda, K., Zaki, M.-J.: Genmax: An efficient algorithm for mining maximal frequent itemsets. Data Mining and Knowledge Discovery (2005)
Jacobson, V.: Congestion avoidance and control. In: Proceedings of ACM SIGCOMM, Stanford, CA, USA, pp. 314–329 (1988)
Labrinidis, A., Roussopoulos, N.: On the materialization of web views. In: Proc. of the ACM SIGMOD Conference, Philadelphia, Pennsylvania, USA, pp. 367–378 (1999)
Labrinidis, A., Roussopoulos, N.: Web views materialization. In: Proc. of the ACM SIGMOD Conference, Dallas, Texas, United States, pp. 79–84 (2000)
Labrinidis, A., Roussopoulos, N.: Online view selection for the web. In: Proc. of the ACM SIGMOD Conference, Madison, Wisconsin, pp. 56–68 (2002)
Labrinidis, A., Roussopoulos, N.: Exploring the trade-off between performance and data freshness in database-driven web servers. The VLDB Journal 13(3), 240–255 (2004)
Nanopoulos, A., Katsaros, D., Manolopoulos, Y.: Exploiting web log mining for web cache enhancement. In: Kohavi, R., Masand, B., Spiliopoulou, M., Srivastava, J. (eds.) WebKDD 2001. LNCS (LNAI), vol. 2356, pp. 68–87. Springer, Heidelberg (2002)
Ramaswamy, L., Iyengar, A., Liu, L., Douglis, F.: Automatic detection of fragments in dynamically generated web pages. In: Proceedings of the 13th International Conference on World Wide Web WWW 2004, New York, USA, pp. 443–454 (2004)
tanasa, D.: Web Usage Mining: Contributions to Intersites Logs Preprocessing and Sequential Pattern Extraction with Low Support. PhD thesis, Thesis University of Nice Sophia Antipolis, French (2005)
Wu, Y.-H., Chen, A.-L.-P.: Prediction of web page accesses by proxy server log. World Wide Web 5(1), 67–88 (2002)
Zaiane, O.-R., Xin, M., Han, J.: Discovering web access patterns and trends by applying olap and data mining technologies on web logs. In: Proceedings, IEEE International Forum on Research and Technology Advances in Digital Libraries, pp. 19–29 (1998)
Zaki, M.-J., Hisiao, C.-J.: Charm: An efficient algorithm for closed itemset mining. In: 2nd SIAM Intl. Conf. on Data Mining, Arlington, VA, USA, pp. 457–473 (2002)
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Saidi, S., Slimani, Y. (2010). Enhancing Web Caching Using Web Usage Mining Techniques. In: Özcan, A., Chaki, N., Nagamalai, D. (eds) Recent Trends in Wireless and Mobile Networks. WiMo 2010. Communications in Computer and Information Science, vol 84. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14171-3_38
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DOI: https://doi.org/10.1007/978-3-642-14171-3_38
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