Data Mining——Analysis and Predict the Loss of Clients in Telecom
Weijia Wang · Application of Statistics and Management · 2006
It has been a crucial applied direction of Statistics that apply the validate information,mining from the history data,to the decision-making of real business.According to the data in a specifically telecom provider's database,by analyzing and mining the natural attribute and action attribute among the clients,lost or not,we set up a model to predict the probability of loss.From this model,we can also get the main reason which lead to loss.Here,we applied the decision tree and RBF in IM(Intelligent Miner) to set up the model,and IM Scoring to predict.IM and IM Scoring are tow parts of the DB2 platform of IBM.