Research On Applications Of Data Mining Techniques In Fix-line Telecommunication Operation

This thesis analyses the competitive environment of traditional fix-line telecommunication operation, the business chance of retaining the customer, acquiring the customer and finding the customer, the methods of improving the efficiency and benefit of the enterprise to implement the precision of marketing management, and then puts forward the pattern of Telecommunication Management Analysis and Decision Support. Our domestic research on this field is still at infancy, abroad's has already been superior to mine greatly. So, there is important practical value in the research on data mining of our fix-line telecommunication.This thesis mainly researches on pattern of Telecommunication Management Analysis and Decision Support in our fix-line telecommunication operation. First the construction of data warehouse is discussed, analyses the data of the base information, billing information and calling detail record of the customer, and then discuss the methods of data mining including defining the operation scope, sampling, data analysis, modeling and implementation We put focal point on the choice and design that the model of data mining, on the basis of the already studies of abroad and the actual needs of fix-line telecommunication company. Three data mining models of our fix-line telecommunication operation are putted forward: Customer Value Model, Customer Retention Model, and Customer Segment Model. Based on the three data mining models, a customer insight driven marketing framework is set up, and the marketing action launched by Hu Nan Telecommunication Company was used to test and appraise these models and the framework.