Find Intelligent Knowledge by Second-Order Mining: Three Cases from China

Abstract

This paper discusses the second-order mining of the results of data mining. There is still gap between the knowledge which can direct the operation of company and the knowledge got from data mining. We take the knowledge from data mining as primary knowledge and the knowledge from second-order data mining as intelligent knowledge. We discuss the importance of intelligent knowledge and the way to find intelligent knowledge from primary knowledge via second-order mining process in this study. Three cases from China are used to demonstrate the methods to finish second mining. These cases are related to central bank credit scoring, credit card churn prediction, and email service fields respectively.