计算机技术与发展2011，Vol.21Issue(3)：197-199,204,4.
基于AdaBoost的集成分类器在电信增值业务中的应用
Ensemble Classification Based on AdaBoost Algorithm and Its Application to Value-Added Services of Telecommunication Industry
摘要
Abstract
In order to solve the problem that the potential users of value-added services can' t be extracted effectively by DM technology,a new ensemble prediction model based on BPNN and AdaBoost algorithm was proposed to overcome single classification' s low precision. In the model, BPNN was adopted as base classifier, whose precision was improved by AdaBoost algorithm. With the experiment on the users' data of ticket, it showed that the model, which had a good robustness, improved the accuracy of classification, which provided a new research approach for future research.关键词
AdaBoost/数据挖掘/BP神经网络/集成分类器分类
信息技术与安全科学引用本文复制引用
郝维来,郑同山..基于AdaBoost的集成分类器在电信增值业务中的应用[J].计算机技术与发展,2011,21(3):197-199,204,4.基金项目
黑龙江省青年学术骨干教师资助项目(1053G034) （1053G034）
