Web mining using Genetic Relation Algorithm

Web searching is one of the most universal and influential applications on the Internet and it is becoming increasingly a dominant information seeking method. The World Wide Web (WWW) contains a huge amount of information available on-line and it is continuously growing in size in such a way that searching tools are becoming more valuable especially to improve the relative coverage of web search engines. In this paper, a framework for web mining has been proposed using an evolutionary algorithm named Genetic Relation Algorithm (GRA) that performs additional searching for documents according to users interests. GRA can optimize the important relationships between web hyperlinks in web pages by evolution. Querying the standard search engine performs the creation of the GRA individuals. The proposed evolutionary method leads to pages of qualities that are significantly better than those of the standard search engines.