Customers´ Classification Based on Attributes Reduction of Rough Set

Commercial banks are operating risk corporate special, truly commercial banks to bring the wealth of resources within the resources but not the external resources for customers. Therefore, based on personal customer relationship management with data mining, the paper presents the research of classification with Rough set and application of customer segmentation to identify the characteristics of various types of customers. The impact on customer classification factors reduction in the interest of achieving a minimum set of features and value of the property through the reduction remove redundant attribute values, extracted from the corresponding rules.