Customer Relationship Management System Using Decision Tree Classification

Abstract

Customer Relationship Management (CRM) has been the important part of enterprise decision and management and Data mining technology provides a good support for the implementation of CRM. This system indents to classify the level of customers according to their prospective level. This prospective level is identified as High, Medium, and Low. The prospective level of customers is determined by Decision Tree Classification of Data Mining. The ability of Data Mining is to extract rules and then deduce useful knowledge automatically from a large number of data collections. Decision trees can easily be converted to classification IF-THEN rules by using decision tree induction. Decision Tree predict more than classifies expert article correctly. This system is implemented for Heavy Machinery Spare Part sales marketing team.