International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
With the proliferation of Internet, discovery and analysis of useful information from the World Wide Web becomes a practical necessity. Web usage mining has become a fertile field of research for improving designs of web sites, analyzing system performance as well as network Communications, understanding user reaction, motivation and Building adaptive Web sites. This paper implements an algorithm based on Traditional Set theory: AprioriAll-Set on the Web sequential Datasets KDD CUP 2000, Kosarak and MSNBC. Experimental results have shown that the AprioriAll-Set algorithm results in the best performance compared to AprioriAll and GSP.