Analysis of Customers Churn and Data Mining from A Securities Business Department

The paper builds a forecast model with factors to affect customers’ churn.It presents some hyphothesises by these factors from the data of a securities business department.and builds three models(logistics,decision and nural network) and selects the best one from the above models by both disclassification and forecast ability.Moreover,it finds some factors which affect customers churn with maximum probability and presents some policies to prevent customers from churn.