Evolving Trends and its Application in Web Usage Mining: A Survey
Vivek Dogne1, Anurag Jain2, Susheel Jain3
1Vivek Dogne, Department of Computer Science, Radharaman Institute of Technology and Science, Bhopal (M.P.), India.
2Anurag Jain, Department of Computer Science, Radharaman Institute of Technology and Science, Bhopal (M.P.), India.
3Susheel Jain, Department of Computer Science, Radharaman Institute of Technology and Science, Bhopal (M.P.), India.
Manuscript received on January 02, 2014. | Revised Manuscript received on January 04, 2014. | Manuscript published on January 05, 2014. | PP: 98-101 | Volume-4 Issue-6, January 2014. | Retrieval Number: F2482014615/2015©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With the abundance of information available on the World Wide Web (WWW), the issue of how to extract useful knowledge from the Web has gained significant attention among researchers in data mining and knowledge discovery areas. Web mining is applied to reflect the importance of Webpages and to predict the web domain visits ofvarious users. This article provides a survey of the available literature on Web usage mining and reviews the research and application issues in web usage mining.
Keywords: Web mining, web content mining, web usage mining, web structure mining.