Web-News Document Clustering Based on Incremental Conceptual Clustering

Abstract

Internet provides drastic access to the news articles from different information sources around the world. The main approach is used to find out the users preference from both news content and user information. Incremental clustering is done on the web news document in order to group the documents for recommendation. The idea of conceptual clustering is used. It finds the similarity between them which is called as correlation measures. Here the data is collected from data set through various web sites of news group.

Keywords: Web-News, clustering, Information, filtering