The Applied Research Of Data Mining In The Customers Of Ningbo Unicom

In 2009, after the reorganization of the telecommunications industry, it forms three operators:China Mobile, China Unicom, China Telecom. With the advent of 4G era, the competition of China’s telecommunications industry becomes more competitive:the three major domestic telecommunications operators seize their own respective markets, namely launch different service packages to attract the attention of customers. Increasing the amount of customers, maintaining customers’ loyalty becomes the original focus of the position between various operators, how to maintain customer resources has become an important issue at present.CRM(Customer Relationship Management)system is formed to enable enterprises to better understand customers and more accurately grasp the market, used to show various departments within the enterprise business processes, information integration. With the application of CRM, the enterprise will slowly accumulate information about customers, and such data will be more and more, the data processing, analysis and prediction must be a kind of inevitable trend.Data Mining (DM) is a tool through various types used in large amounts of data found that some of the links between the model and the data. In the telecommunications industry, all kinds of industry of information resources are very rich, which have a business to many very valuable information. So in this paper, to Ningbo Unicom users, according to the actual situation of Ningbo Unicom, combining with the existing techniques by the corresponding methods in data mining carries on the corresponding analysis. The application of data mining technology in the CRM system is the hot research of the recent research. Data mining can make the enterprise user related information and data for more favorable customer resources of the enterprise, the essence of data mining is from the database in the extraction process of information hiding, which was not found in the swimming. It is considered to be a very promising field in database research. It is intended to understand and analyze data adequately, and to find internal knowledge and express it in a fixed pattern.This paper is divided into six chapters:the first chapter is the introduction, briefly introduce the research; the second chapter introduces the data mining and the application of data mining in customer relationship management in the literature; the third chapter describes the Unicom users in Ningbo the questions of using as well as the data situation; the fourth chapter is the design of scheme selection, select the decision tree algorithm and K-means clustering using off screen and in the prediction and classification of the users, and the establishment of the corresponding model, and specific implementation process and results of model selection is analyzed; the fifth chapter is that the limitations of this paper are summarized, and the research of the outlook for the future is be put.