Science & Engineering Research Support soCiety (SERSC)
Today an efficient information search is very important to extract and analyze user requirements in vast amount of web information. Due to this reason, this paper proposes the log based keyword extraction method which finds the associated keywords in a certain domain. Also, this paper proposes the spread based clustering method as clustering the keywords with high association among the keyword-sets of the maximum frequent keyword-sets with redundancy removal by the log based keyword extraction method. The proposed method in this paper is much more efficient and exact than conventional works.