An Analysis on Recent Reviews Pertaining to Web Mining and Its Application Domains

International Journal of Computer Trends and Technology (IJCTT)          
© 2016 by IJCTT Journal
Volume-34 Number-1
Year of Publication : 2016
Authors : J.I. Christy Eunaicy, S. Suguna
DOI :  10.14445/22312803/IJCTT-V34P107


J.I. Christy Eunaicy, S. Suguna "An Analysis on Recent Reviews Pertaining to Web Mining and Its Application Domains". International Journal of Computer Trends and Technology (IJCTT) V34(1):40-45, April 2016. ISSN:2231-2803. Published by Seventh Sense Research Group.

Abstract -
World Wide Web is a very popular and fertile area for interactive transformation of information. The Web Mining is mainly concerned with web content, web structure and web usagemining and extensive researches are being conducted in all these web mining categories. At this juncture, the pooling of reviews on web mining and their analyses are mandatory for finding new avenues and applications in researches. In this connection the present investigationwas devoted not only for the collection of reviewson mining of web usage, web structure and web content but also for the extensive analyses on the pooled reviews. Itwas found thatcontent mining in terms of scanning of text and mining of text, pictures plus graphs of a web page could determine the relevance of the content to the search query. It was also found thatcontent miningcould provide the list of results to search engines in the order of highest relevance to the keywords in the query.The research outcomes in structure mining revealed that the knowledge extracted from the web could be used to raise the performances for web information retrievals, question answering and Web based data warehousing. The result outcomes also revealed that the extraction of knowledge from server log files could be possible in web usage mining. On the basis of the pooled research findings in the present investigation, it could be concluded that the new avenues and applications in researches would be in increasing trends that would result in technically matured anduser friendly web mining applications.

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Web Mining, Web Usage Mining, Preprocessing, Pattern analysis, Link Structure, Personalization.