Generation of Direct and Indirect Association Rule from Web Log Data

Abstract

Nowadays all people are interested in shopping online as they don't have time to go in market and see the variety of products of different brands available in the market which will solve their purpose. Online shopping is best suited for such people it saves their time as well as money as money discount offers are given on online shopping items. To save more time of such user Web mining provides an option to study the search behaviour of the user and recommend the pages of their interest through web page recommendation system. The aim of our system is to find Direct and Indirect Association rule which will recommend more appropriate page to web page recommendation system.