Research And Application Of Data Mining Technology In Telecommunication Customer Loss

With database technology widely applied and data constantly accumulated in enterprises, Data warehouse technology and Data Mining technology oriented analysis develop gradually. Data warehouse is a kind of new-type method to organize and store data. It organizes transaction data that enterprises accumulate again with multidimensional data modeling and sets up new data set, which is specially used for supporting data analysis and making policy for enterprises. DM is the strongest data analysis means in the warehouse field at present. Its analysis method is utilizing the known data to find out the implicit business rules through setting up mathematics model. DM has successful applications in a lot of trades.The purpose of this thesis is to study the implementation technology of DM and data warehouse and apply this technology to telecommunication customer loss system. Firstly, this thesis introduces the basic theory of data warehouse and DM. Secondly, it introduces how to set up data warehouse about customer loss in detail, including the tactics of choosing theme, the setting-up of the multidimensional database (conceptual model, logical model, physical model) in data warehouse, the realization of ETL technology, the maintenance of data warehouse, etc; then DM technology is applied to the study of customer loss, to the questions that exist in relevant research at present, this paper provides solutions to customer loss, including customer description, the loss models, the analysis of loss reasons , the loss prediction and the control strategy, etc. especially solves the problem of setting up loss model.