"CLASSIFICATION AND PREDICTION IN CUSTOMER RELATIONSHIP MANAGEMENT USIN" by LEELA RANI KOMMA REDDY and G LOSHMA

Home > IJCSI > Vol. 3 > Iss. 3 (2014)

International Journal of Computer Science and Informatics

Article Title

CLASSIFICATION AND PREDICTION IN CUSTOMER RELATIONSHIP MANAGEMENT USING BACK PROPAGATION

Authors

LEELA RANI KOMMA REDDY, Dept Of CSE, Sri Vasavi Engineering College, Pedatadepalli, Tadepalligudem—534101, IndiaFollow
G LOSHMA, Dept Of CSE, Sri Vasavi Engineering College, Pedatadepalli, Tadepalligudem—534101, IndiaFollow

Abstract

Customer Relationship Management provides a customer classification and prediction which is used for the optimization of business process. The classification and prediction which is used for the optimization of business process. This classification and prediction in CRM will help the company to study, analyze and forecast customers pattern of consumption, business transaction and purchasing CRM has become major activity in the enterprise based business organization using the CRM. CRM is an important activity in the enterprise business organization like banking industry, insurance industry, retail industry and manufacture industry. In the system we are using data mining techniques to implement customer classification in CRM as we need to analyze mass volume of data we are implementing an efficient and effective Neural Network based technique. Based on the existing system like Naïve Bayesian System, our proposed system implements Back propagation Neural Network techniques which would generate accurate results with less time complexity.

Recommended Citation

REDDY, LEELA RANI KOMMA and LOSHMA, G (2014) "CLASSIFICATION AND PREDICTION IN CUSTOMER RELATIONSHIP MANAGEMENT USING BACK PROPAGATION," International Journal of Computer Science and Informatics: Vol. 3 : Iss. 3 , Article 6.
Available at: https://www.interscience.in/ijcsi/vol3/iss3/6

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