Enhanced Clustering Technique for Search Engine Results using K-Algorithm

Author(s):

Dr. M. Manikantan , Kumaraguru College of Technology; N. Jayakanthan, Kumaraguru College of Technology

Keywords:

Clustering algorithm, k-means algorithm, search engine optimization, semantic web and web query optimization

Abstract:

The web is the imperial component in human life. The usage of the websites increases in present scenario. The search engines are vital element to find essential information on the internet through web queries. The volume of the search queries also increases to serve the different need of the end users. So this paper proposed a novel approach to classify search queries based on its indented results. An enhanced K-means clustering algorithm based tool is developed to address this need. The tool is tested in real time and the result shows the efficiency the proposed approach.

Other Details:

Manuscript Id	:	IJSTEV3I5065
Published in	:	Volume : 3, Issue : 5
Publication Date	:	01/12/2016
Page(s)	:	62-68

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