Optimizing Web Mining using Multi-agent System 

Abstract

Data mining concepts and techniques when applied to world-wide web with its existing technologies are termed as web mining. With flooding of information on World-wide web it has become necessary to apply some strategy so that valuable knowledge can be extracted and consequently returned to the user. This paper proposes a multiagent based Web mining model which is designed to improve the search efficiency of the web pages in compare to the ranked list of keywords based search engine. The proposed model generates valuable information from the web logs of the server by dividing the mining task into several parallel agents which coordinately work together and classify the web documents by which the mining efficiency is improved greatly. 

Authors and Affiliations

Shah Yesha B. , Prof G. B. Jethava

Keywords

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  • EP ID EP93603
  • DOI -
  • Views 139
  • Downloads 0

How To Cite

Shah Yesha B. , Prof G. B. Jethava (2012). Optimizing Web Mining using Multi-agent System . International Journal of Advanced Research in Computer Engineering & Technology(IJARCET), 1(10), 141-143. https://europub.co.uk./articles/-A-93603