树形算法在电信客户细分中的应用研究
摘 树形算法于其大量高维数据效处噪声点高容忍度知识效表示常用CRM客户细分技术类树形算法包括决策树C4.5算法决策树CART算法平衡随机森林BRF算法解决电信客户细分问题中表现进行分析研究选用BP神经网络算法作树形算法参照终研究得出平衡随机森林处电信客户问题上具好表现关键词 决策树 随机森林 BP神经网络 数据预处中图分类号TP393 文献标志码A 文章编号1006-8228201405-01-03Abstract Due to the effective processing of large amounts of high-dimensional data high tolerance for noise and effective representation of knowledge tree algorithm is the most common CRM customer segmentation technique. The performance of tree algorithm including the C4.5 the CART and the balanced random forest in solving telecommunication customer segmentation problems is analyzed. BP neural network algorithm is compared. Experiments have shown that balanced random forest has the best performance in dealing with the problem.Key words decision tree random forest BP neural network data pre-process0 引言当前国电信市场激烈竞争环境中客户成电信企业争夺资源客户关系
下一页>>
广州市越秀区图书馆版权所有。
联系电话：020-87673002
本站访问人数：