Review Paper: Procuring Frequent and Sequential Items to Improve Product Sales in E-Commerce Sites

Abstract

Increase in e-commerce industry has lead to availability of large amounts of data. Data is an important for everyone. There are hundreds of websites being deployed and each site offers millions of products. This means that there is a substantial amount of information being provided resulting in information overload and in turn results in reduced customer satisfaction and interest. Presenting frequent and sequential patterns in e-commerce sites results in increase of sales of products without delay. Different association rule mining techniques can be used for generating frequent and sequential patterns.