Design of a Forecasting Model for Customer Classification in the Telecommunication Industries

통신 산업의 고객 분류를 위한 예측 모델 설계

  • 이병업 (배재대학교 전자상거래학과) ;
  • 조규하 (충주대학교 전기전자정보공학부) ;
  • 송석일 (충북대학교 전기전자컴퓨터공학부) ;
  • 유재수 (충주대학교 전기전자정보공학부)
  • Published : 2006.01.01


Recently, according to the development of computer technology, a large amount of customer data have been stored in database. Using such data, decision makers extract the useful information to make a valuable plan with data mining. In this paper, we design a forecasting model that classifies the exiting customers in the telecommunication industries using the classification rule, one of the data mining technologies. In other words, this paper builds a model of customer loyalty detection and analyzes customer patterns in mobile communication service market with data mining using neural network and regression methods. This model improves the relationship of customers and enterprises. As a result, the enterprise creates the profits from many customers and the customer receives more benefits from the enterprise.


Data Mining;Neural Network;Regression;Customer Classification;Forecasting Model