Rough Set Theory: Application in Electronic Commerce Data Mining

As Electronic Commerce become more and more prevalent to people, this paper discusses application of rough set theory in Electronic Commerce (EC) data mining. The EC sites collect large data every day. The data includes valuable information about customers, products and so on. The large amount of data can be mined to find the unknown knowledge or trends hiding in the data, which can be used by the sites to arrange their products according to the buyers´ preference and take appropriate selling policies. This paper employs rough set theory that can perform feature selection to obtain patterns of customers and products.