关键词: 聚类算法, 决策树, 神经网络, 客户保持

Abstract: With diversification analyses of lost customers in applications, a multi-mode classification algorithm was presented. It applied clustering algorithm to segment the lost customers into many subgroups, then used classification algorithm to build the classifying models on each subgroup. Meanwhile, it filtered the low-precision class models to ensure the precision improvement of forecast lists. Compared with Logistic, decision tree and neural network, the experimental results show that the new classification algorithm has better performance.

Key words: Clustering algorithm, decision tree, neural network, customer retention