e-ISSN : 0975-3397
Print ISSN : 2229-5631
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ABSTRACT

Title : GENERAL WEB KNOWLEDGE MINING FRAMEWORK
Authors : B. Madasamy, Dr. J. Jebmalar Tamilselvi
Keywords : High dimensional data, Knowledge mining, XML.
Issue Date : October 2012.
Abstract :
Mining the web is defined as discovering knowledge from hypertext and World Wide Web. The World Wide Web is one of the longest rising areas of intelligence gathering. Now a day there are billions of web pages, HTML archive accessible via the internet, and the number is still increasing. However, considering the inspiring diversity of the web, retrieving of interestingness web based content has become a very complex task. The large amount of data heterogeneity, complex format, high dimensional data and lack of structure of web, knowledge mining is a challenging task.
In this paper, it is proposed to introduce a new framework generated to handle unstructured complex data. This web knowledge mining expertise brings forward a kind of XML-based distributed data mining architecture. Based on the research of web knowledge mining, XML is used to create well structured data. Web knowledge mining framework attempts to determine useful knowledge from derived data, complex format, and high dimensional data obtained from the interactions of the users through the Web.
Page(s) : 1744-1750
ISSN : 0975–3397
Source : Vol. 4, Issue.10

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