A Research On Telecom Customer Retention Based On Data Mining Techniques

With constant restructuring and fierce competition, every telecom focuses on the churn of present clients. The core competency could be achieved using various methods to attract clients.In order to meet clients'requirements and to hold back the declining trend, telecoms should make full use of OSS clients data and data mining tools to gain customer insight.This article conducted deep research in 2 aspects: looking for those valuable but declining clients and predicting the churned clients. The article also includes the assessment of problem-solving models and methods.The article is divided into 5 parts and as following:Chapter 1:Analyze the development of telecom market and existing problems in telecom marketing. Introduce the concept of decline and importance of retaining clients. Suggest measures and architectures concerning how to retain clients.。Chapter 2:Summarize data mining technology. Present the development of data mining technology. Study contents and processes of implementation.Chapter 3:Suggest V-NV customer segmenting method based on K-Means Clustering Algorithm in the data mining after analyzing various ways concerning how to segment clients. And this method has been checked in telecom companies'application.Chapter 4:Present predictive models about churned clients. Provide detailed ways to establish models which has proven its practicability in telecom corporations'applications.Epilogue:Further considerations about existing problems in the research.