| 题名： |
Traffic classification model based on integration of multiple classifiers |
| 作者： |
董仕,丁伟 |
| 杂志/会议： |
Journal of Computational Information Systems |
| 卷、期、页码： |
2012 Vol. 8 (24) : 10429- 10437 |
| 时间： |
2012-12 |
| 关键词： |
Multi classifier; Preference Degree; MCM; Sampling Rate |
| 摘要： |
This paper introduced the concept of multi classifier fusion into traffic classification to improve the classification accuracy. And first define conception of preference degree and analyzes the impact on traffic protocol type, and proposed MCM (Multi Classification Model) and compared with traditional machine learning method, the results show MCM method will be able to increase identification accuracy and less be influenced by high sampling rate. |
| 索引： |
EI:20130215883679 |
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