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Sankar K. Pal, Varun Talwar, and Pabitra Mitra, “Web Mining in Soft Computing Framework: Relevance, State of the Art and Future Directions”, IEEE transactions on neural network, Vol. 13, No. 5, September 2002, pp. 1163-1177.

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Article

World towards Advance Web Mining: A Review

1M.Tech-Computer Science and Engineering, Lakshmi Narain College of Technology-Indore (RGPV, Bhopal), MP, India


American Journal of Systems and Software. 2015, Vol. 3 No. 2, 44-61
DOI: 10.12691/ajss-3-2-3
Copyright © 2015 Science and Education Publishing

Cite this paper:
Shyam Nandan Kumar. World towards Advance Web Mining: A Review. American Journal of Systems and Software. 2015; 3(2):44-61. doi: 10.12691/ajss-3-2-3.

Correspondence to: Shyam  Nandan Kumar, M.Tech-Computer Science and Engineering, Lakshmi Narain College of Technology-Indore (RGPV, Bhopal), MP, India. Email: shyamnandan.mec@gmail.com

Abstract

With the advent of the World Wide Web and the emergence of e-commerce applications and social networks, organizations across the Web generate a large amount of data day-by-day. The abundant unstructured or semi-structured information on the Web leads a great challenge for both the users, who are seeking for effectively valuable information and for the business people, who needs to provide personalized service to the individual consumers, buried in the billions of web pages. To overcome these problems, data mining techniques must be applied on the Web. In this article, an attempt has been made to review the various web mining techniques to discover fruitful patterns from the Web, in detail. New concepts are also included in broad-sense for Optimal Web Mining. This paper also discusses the state of the art and survey on Web Mining that is used in knowledge discovery over the Web.

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