6673
博碩士論文
Data Mining , Churn Prediction , Telecommunications Data Mining , Churn Management , Classification Analysis , Multi-expert Classification Analysis
AbstractAs deregulation and new competitors open up the telecommunications industry, the cellular phone market has become more competitive than ever. To survive or maintain an advantage in such a competitive marketplace, many telecommunications companies are turning to data mining techniques to resolve such challenging issues as fraud detection, customer retention, and prospect profiling. In this thesis, we focused on developing and applying data mining technique to support the churn prediction....