An Approach Mining Cyclic Association Rules in E-Commerce

In today´s era, there exists a neck-to-neck competition between all the commercial organizations through E-Commerce to increase their sales and earn more profit. An organization can invest only on the group of products which are frequently purchased by its customers. So, it is a crucial data mining problem which can be a backbone to solve this problem for executives. This kind of problem lies under time pattern mining domain in which we have to find the association rules which occurs frequently in database. In this paper, we suggests using data mining as a technique to support sales in E-Commerce by using cyclic pattern mining for the scanning of item sets.