Web Mining Using PageRank Algorithm

Vignesh. V; Dr. K. Krishnamoorthy

Data mining is extracting and automatic discovering the web based information has been used as web mining. It is one of the most universal and a dominant application on the Internet and it becomes increasing in size and search tools that combine the results of multiple search engines are becoming more valuable. But, almost none of these studies deals with genetic relation algorithm (GRA), where GRA is one of the evolutionary methods with graph structure. GRA was designed to both increase the effectiveness of search engine and improve their efficiency. GRA considers the correlation coefficient between stock brands as strength, which indicates the relation between nodes in each individual of GRA. The reduced number of hyperlinks provided by GRA in the final generation consists of only the most similar hyperlinks with respect to the query. But, the end user’s not satisfied fully. To improve the satisfaction of user by using Page rank algorithm to measure the importance of a page and to prioritize pages returned from a GRA. It will reduce the user’s searching time. PageRank algorithm works to allocate rank for filtered links based on number of keyword occurred in the content.

Select Volume / Issues:

• Volume 4 Issue 6, Nov. 2013

Year:

2013

Type of Publication:

Article

Keywords:

Genetic Relation Algorithm GRA; PageRank; Web Mining

Journal:

IJECCE

Volume:

4

Number:

6

Pages:

1638-1639

Month:

November