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A Survey of Web Content Mining Based On Information Retrieval

M. Jaikumar, R. Saranya


The cynosure of this paper is to fetch the important significance of Web Content Mining. The paper gives a vision into its functions, methods and its efforts in the current business environment as well in research extracting contents for day to day purpose. It also explicates how to use web content mining and how it plays an entity role by getting precious set of volumes and uses those contents in the judgment making in the cluster situation, literacy and scrutinize.


Web Content Mining Techniques, Process of Mining.

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J.Cowie and W. Lehnert. “Information Extraction”, Communications of the ACM, 39(1):80-91, 1996.

Faustina Johnson and Santosh Kumar Gupta “Web Content Mining Techniques: A Survey.” International Journal of Computer Applications (0975 – 888) Volume 47– No.11, June 2012.

Kosla, R. and Blockeel, H. 2000. “Web Mining Re-search: A Survey.” SIG KDD Explorations. Vol. 2, 1-15.

Darshna Navadiya, Roshni Patel,” Web Content Mining Techniques-A Comprehensive Survey”, International Journal of Engineering Research & Technology (IJERT), Vol. 1 Issue 10, December- 2012.

Deepti Sharda, “Web Content Mining Techniques-A Study”, International Journal of Innovative Research in Technology and Science (IJIRTS).

Govind Murari Upadhyay, Kanika Dhingra,”Web Content Mining: Its Techniques and Uses”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol.3, Issue 11, November 2013.

Sandhya,Mala Chaturvedi,Anita Shrotriya,“Graph Theoretic Techniques for Web Content Mining”, The International Journal Of Engineering And Science (IJES), Vol. 2,Issue 7 July 2013,pp.35-41.

Ananthi.J,” Emerging Techniques of Web Content Mining “,(IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (3) , 2014.

Nimgaonkar, S. and Duppala, S. 2012. A Survey on Web Content Mining and extraction of Structured and Semi structured data, IJCA Journal.

R.Cooley, B. Mobasher, and J.Srivastava. Data Preparation for Mining World Wide Web Browsing Patterns. Knowledge and Information Systems, 1(1):5–32, 1999.

R. Cooley, J. Srivastava, and B. Mobasher. 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.

Data mining for hypertext: Tutorial Survey Soumen Chakraborti, 2000.

E.Riloff.An empirical study of automated dictionary construction for data abstraction in 3 domains. Artificial Intelligence, 85:101-134,1996b.

S.Yadav, K.Ahmad, J.Shekar “Analysis of web mining applications and beneficial areas”, IIUM Engineering journal, vol. 12, No.2 2011.

Fan, W., Wallace, L., Rich, S. and Zhang, Z. 2005. Tapping into the Power of Text Mining. Communications of the ACM – Privacy and Security in highly dynamic systems. Vol. 49, Issue-9.


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