Study to web transactions clustering algorithm on WEKA

The web data has a large scale and dynamic speciality and the discovered knowledge or rules are likely to be imprecise or in-complete generally.To the difficulties,rough sets is introduced into the web mining to cluster web transactions.The process of embedding the rough approximation algorithm into the WEKA platform in which the classes and visualization functions of open source WEKA is fully utilized.The rough approximation algorithms extended the clustering algorithm in the WEKA system.The embedded algorithm is analyzed and tested.The rough algorithm can cluster web transactions from web access logs and it has a higher veracity for the nominal data.