Ensemble Classification Based on AdaBoost Algorithm and Its Application to Value-Added Services of Telecommunication Industry
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.
国家科技期刊平台
NSTL
万方数据
维普
