| In this paper, aim at the market operating characteristics of mobile communication operator. Use classification analysis method and cluster analysis method to analysis the customer call behavior, so as to arrive at the customer spending habits, lifestyles, social contact, and other characteristics. As different characteristics of the division of customer base, the different characteristics of the customer base, operators can conduct various marketing activities and customer service. The increasingly fierce competition in the domestic mobile telecommunications market to promote mobile communication operators to lower operating costs and to provide the differentiable serving .The application of data mining technology can help operators to analyze customer's consumer behavior, and to identify customer characteristic, and to assist operators for effective marketing and customer services. Therefore, the issues have important economic and social significance. As a result, the project has very positive social and economic benefits.This paper presents the theory and method of data mining, and Telecommunications Company's features .and introduced the research's detail and the core technology of a database mine system of telecom Customer. In the entire software system, we use Windows 2003 server as the operating system platform, and use oracle as the database software of Server Software, and visited a number of remote databases, and write a lot of dynamic SQL Language as the core code of data mine .we use the PowerBuilder to program the client Application ,Which also used an innovative upgrades technology of client.In the finality, the problems requiring further studies are discussed .In the future, we will explore better ways of integrating the theory of data mine with the practice of application. |
