IJERT-EMS
IJERT-EMS

Web Content Mining Techniques-A Comprehensive Survey


Web Content Mining Techniques-A Comprehensive Survey
Authors : Darshna Navadiya, Roshni Patel
Publication Date: 28-12-2012

Authors

Author(s):  Darshna Navadiya, Roshni Patel

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol.1 - Issue 10 (December - 2012)

e-ISSN:   2278-0181

Abstract

With flooding of information on WWW it has become necessary to apply some strategy so that valuable knowledge can be extracted and consequently returned to the user. Data mining techniques find their applicability in these scenario. Data mining concepts and techniques when applied to WWW with its existing technologies are known as web mining.The paper contains techniques of web content mining, review, various algorithms, examples and comparison. Web mining is one of the well-known technique in data mining and it could be done in three different ways (a)web usage mining, (b)web structure mining and (c)web content mining. Web usage mining allows for collection of web access information for web pages. Web content mining is the scanning and mining of text, pictures and graphs of web page to determine relevance of content to the search query. Web structure mining is used to identify the relationship between the web pages linked by information.The paper presents various examples based on web content mining techniques in detail, results and comparison to extract necessary information effectively and efficiently.

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