An Analysis on Web Usage Mining For Internet Users

Abstract-Web Usage Mining is a branch of web mining. The data assembled from web access results in awfully large information represented in binary form. The data is grouped using divisive clustering method. The divisive analysis is one of the types of hierarchical method of clustering, the divisive analysis is used to separate each dataset from the clustered dataset. Here the algorithms D-Apriori and DFP are proposed to find the frequently accessed webpage from web log database and they will be comparatively analysed for the implementation of web usage mining and signifying which algorithm is more efficient than the other in terms of computational and scanning time