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- W2378667025 abstract "The process of network attack detection not only needs to keep the accuracy of classification,but also reduces time consuming.On the basis of the traditional data stream mining methods,an improved incremental learning model is proposed.The proposed model builds a cycle structure with multi-models,and finds the support vectors in geometry direction.The model uses central distance ratio methods to obtain the best support vectors and then retrain Support Vector Machine(SVM)model.In experiment,the UCI dataset is employed and the model is compared with two other classification model.The experimental result proves the model has better classification performance." @default.
- W2378667025 created "2016-06-24" @default.
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- W2378667025 date "2012-01-01" @default.
- W2378667025 modified "2023-09-24" @default.
- W2378667025 title "Network data stream abnormal detection model based on SVM incremental learning method" @default.
- W2378667025 hasPublicationYear "2012" @default.
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