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Web Usage Mining in Soft Computing Framework: A Review and State of the Art

Subhendu Kumar Pani, Lingaraj Panigrahy, R. Ramakrishna, Sanjay Kumar Padhi, Bikram Keshari Rath

Abstract


This study presents the role of soft computing techniques (artificial neural network (ANN) fuzzy logic (FL) and genetic algorithm (GA)) in the area of web usage mining. In recent years the growth of the World Wide Web exceeded all expectations. Today there are several billions of HTML documents, pictures and other multimedia files available via internet and the number is still rising. But considering the impressive variety of the web, retrieving interesting content has become a very difficult task. So, the World Wide Web is a very advanced area for data mining research. Web mining is a research topic which combines two of the activated research areas: Data Mining and World Wide Web. Web mining research relates to several research communities such as Database, information Retrieval and Artificial intelligence, visualization. This paper also reviews the research and application issues in web mining.

Keywords


Web, Data Mining, Web Usage Mining, Artificial Neural Network, Genetic Algorithm

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References


G.Salton and M.McGill .introduction to modern information Retrival. McGraw Hill, 1983.

U.Fayyad, G.Piatetsky-Shapiro, P.Smythfrom data mining to knowledge discovery: An overview. In advances in knowledge Discovery and data mining, pages 1-34.AAA Press, 1996.

U.Fayyad, G.Piatetsky-Shapiro, and P.Smyth knowledge discovery and data mining: toward a unifying framework. In proceeding of the second int. conference on Knowledge Discovery and Data mining, pages 82-88, 1996.

M.A.Hearst.Untangling text data mining. In proceedings of ACL’99: the 37th Annual meeting of the Association for computational Linguistics,

] O.Etzioni.The World Wide Web: Quagmire or gold mine. Communications of the ACM, 39(11):65-68,1996.

S.K.Madria, S.SBhowmick, W.K, Ng, and E.P.Lim.Research issues in web data mining. In Proceedings of data ware housing and knowledge Discovery, first International conference, DaWak’99, pages 303-312, 1999.

R.Cooley, B.Mobasher, and J.Srivastava.Web mining: Information and pattern discovery on the World Wide Web. In proceedings of the 9th IEEE International Conference on Tools with Artificial Intelligence (ICTAI’97), 1997.

R.kosala, H.Blockeel.Web mining Research: A survey.

S.K.Madria, S.S Bhowmick, W.K.Ng, and E.P.Lim.Research issues in web data mining. In proceedings of data warehousing and knowledge Discovery, first International Conference, DaWak’99,pages301-312,1999.

Garofalaski,R.Rastogi,S.Shesadri,K.Shim,Datamining and the web:past,present and future,proceedings WIDM99,Kanas City,USA 1999.

J.Srivastava, R.Cooley, M.Deshpande, P.tan,web Usage Mining: Discovery and applications of usage Patterns from web data,SIGKDD Explorations,Vol.1,No.2,Jan.2000

J.han and M.kamber, Data Mining Concepts and Techniques, Morgan Kaufmann Publisher, 2001.

R. Agrawal, T. Imielinski, A. Swami. MiningAssociation Rules between Sets of Items in Large Databases. Proceedings of the 1993 ACM SIGMOD Conference, 1993.

Jeffrey Heer and Ed H. Chi. Mining the structure of user activity using cluster stability.In Proceedings of the Workshop on Web Analytics, Second SIAM Conference on Data Mining. ACM Press, 2002.

Eleni Stroulia Nan Niu and Mohammad El-Ramly. Understanding web usage for dynamic web-site adaptation: A case study. In Proceedings of the Fourth International Workshop on Web Site Evolution (WSE’02), pages 53–64. IEEE, 2002.


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