Data Mining Technology To Build Jsbas Systems Analysis And Large Customers

With the gradual opening of domestic telecom market and the continuous evolution of telecom services, the competitions of market become more intense. Increasing competitive pressures require every telecom organization to develop new and innovative ways to satisfy the increasing demands of its customers and improve the management of the organization.Based on the research of a real telecom business intelligence system- "JiangSu Business Analysis System", the thesis first introduces some basic aspects of business intelligence system and its relational technology. In succession, the author elaborates the development process of the data mining subsystem which can greatly enhance the management of VIP client. This thesis also gives an in-depth analysis of some data mining algorithms including neural network, decision tree and regression. Finally, a research is performed on the advantage of combining these technologies in our real project and the technologies of over sample and misclassification cost are used to improve the performance of the predicting models. The evaluation with actual data demonstrates that the data mining subsystem can satisfy the requirement of commercial application well.