A MULTI-FACTOR CUSTOMER CLASSIFICATION EVALUATION MODEL
Pervasive application of data mining technology is very important in analytical CRM software development when the distributed data warehouse is constructed We propose a multi-factor customer classification evaluation model CLV/CL/CC which comprehensively considers customer lifetime value, customer loyalty and customer credit It classifies clients with synthetic data mining algorithms In this paper, we present an extended Bayes model which substitutes the primary attribute group with a new attribute group to improve the classification quality of naive Bayes
lifetime value extended bayes model classification model customer classification prediction weighted bayes algorithm customer loyalty degree client capital credit fuzzy neural network markov chain