Web Usage Mining Using D-Apriori And DFP Algorithm

Web Usage Mining is a branch of web mining. The data is assembled has result in awfully large information in web access and it represent in binary form. The data is grouped the neighborhood data by 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 new algorithm D-Apriori and DFP is proposed to find the frequently accessed webpage from web log database.