A Rough Set Approach to Grouping Goods in Electronic Commerce

As electronic commerce (EC) become more and more prevalent to people, it is very critical to provide the right information to the right customers. The EC sites are generating large amount of data on customer purchases. Data mining techniques in EC domain is currently a hot research area. This paper proposes a rough set based approach to obtaining patterns of goods and classifying associated goods into groups, which can be used by the sites to group their goods according to the customers´ preference and adopt appropriate selling policies.