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论文类型：期刊论文

发表时间：2012-01-01

发表刊物：Information Technology Journal

收录刊物：EI、Scopus

卷号：11

期号：2

页面范围：200-208

ISSN号：18125638

摘要：Currently, data mining for data streams has gained importance in the network management area. Although many new technologies have been applied in this area, most of them belong to the rule-based style. In order to overcome the weakness of rule-based mode, the learning-based model with incremental learning method was employed. In this study, the model proposed was optimized in Support Vector Machine (SVM) kernel functions selection and the parameters. Apart from this, real world network data sets were used in the experiment to certify the validity of the new model. The experimental result showed that the optimized model can improve the accuracy of classification and reduce the time cost. At the same time, the optimized model was also compared with other models. ? 2012 Asian Network tor Scientitic Intormation.