Open AccessCLASSIFICATION AND PREDICTION IN CUSTOMER RELATIONSHIP MANAGEMENT USING BACK PROPAGATION
Author(s) -
Leela Rani Komma Reddy,
G Loshma
Publication year - 2014
Publication title -
international journal of computer science and informatics
Language(s) - English
Resource type - Journals
ISSN - 2231-5292
DOI - 10.47893/ijcsi.2014.1141
Subject(s) - customer relationship management , purchasing , artificial neural network , customer intelligence , computer science , transaction data , data mining , database transaction , business process , business intelligence , process (computing) , backpropagation , process management , artificial intelligence , business , customer retention , database , marketing , service (business) , work in process , service quality , operating system
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.