International Journal of Emerging Technology and Advanced Engineering (IJETAE)
Web content mining generally consist of mining the content held within the web pages. The aim of this paper is to evaluate, propose and improve the use of advance web data clustering techniques which is highly used in the advent of mining large content based data sets which allows data analysts to conduct more efficient execution of large scale web data searches. In the search space data is available in a random fashion which may cause trafficking when searched multiple times. Thus in this paper, the authors provide an improved algorithm which may reduce the search space in search engines using clustering techniques.