An Analysis on Recent Reviews Pertaining to Web Mining and Its Application Domains
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2016 by IJCTT Journal | ||
| Volume-34 Number-1 |
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| 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. www.ijcttjournal.org. 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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Keywords
Web Mining, Web Usage Mining, Preprocessing,
Pattern analysis, Link Structure,
Personalization.