Research on short message spam filtration based on support vector machine
Qiang Li, Xiaofeng Li · China-Ireland International Conference on Information and Communications Technologies (CIICT 2007) · 2007
During the development of short message gateway, recognition and filtration of short message spam become an unignorable problem. In this article, the sensitive level of short message spam filtration is proposed according to the requirement of the project, and support vector machine is applied during the categorization process according to the characterization of short message filtration. Besides, the fuzzy membership is introduced for each data point based on dual nu-SVM, thus to use different sensitive levels to filter the short message spam with high efficiency and accuracy.