Analysis of User Behavior through Web Usage Mining

Abstract

Internet has gained a lot of interest of customers. Maintaining good relations with customer is the major applications in web mining. The process of extracting useful information from web logs is called Web Usage Mining. This helps to improve the website performance by analyzing the user's interest and also adds profitability in business The main goal of Web Usage Mining is to study the users' navigation patterns and their use of web resources. Web Usage Mining is the primary focus of this study and we will learn more about the different stages involved in this mining process and with comparative analysis between pattern discovery algorithms i. e Apriori and FP-growth algorithm.

Cite this paper

@inproceedings{Parvatikar2015AnalysisOU, title={Analysis of User Behavior through Web Usage Mining}, author={Suhasini Parvatikar and Bharti Joshi and Anour F. A. Dafa-Alla and Rahul Mishra and Abha Choubey and K. R. Suneetha and Sachin P Patel and Preeti Parekh Sharma and Sanjay Kumar and Aditi Shrivastava and Nitin Shukla and L. Panigrahy and V. H. Sankar and Bikram K. Ratha and Arup Kumar Mandal and Sanjay Kumar Padhi and Hiroko Ms and Madhuri A. Joshi}, year={2015} }