A Comparative Study On Apriori And Reverse Apriori In Generation Of Frequent Item Set
R. P. Puneeth, Krishna Prasad Rao · 2019
Weblog Mining is also termed as Web Usage Mining, and it is considered as a branch of Data Mining. Web usage mining includes the approach of extracting usage behaviour of the customers in Web Applications. The obtained data can be utilized in many ways such as, checking of fraudulent elements, improvement of the application, etc. The presented research work, focuses on Web Usage Mining (WUM), and it mainly consist of three steps pre- processing of the information, knowledge exploration, and finally Pattern analysis, task involves Association Rule Mining, Statistical Analysis, Clustering, Classification and identification of Sequential Patterns. Apriori is most commonly used algorithm in terms of data mining for extracting usage behaviour. The proposed algorithm, Reverse Apriori is the combination of FP-tree structure and Apriori algorithm. Comparative study is made by considering the running time in the generation of frequent set.