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The classification performance of previous IG algorithm may decline obviously because of the maldistribution of classes and features, due to which an improved text feature selection method UDsIG is proposed. First, we select features by classes to reduce the impact on feature selection when the classes are unevenly distributed. After that, we use feature equilibrium of distribution to decrease the...
Blogosphere has become a hot research field in recent years. As the existing detection algorithm has problems of inefficient feature selection and weak correlation, we propose an algorithm of splog detection based on features relation tree. We could construct the tree according to the correlation of the features, reserving the strong relevance features and removing the weak ones, then prune the redundant...
Support vector machine (SVM) is originally developed for binary classification problems. In order to solve practical multi-class problems, various approaches such as one-against-rest (1-a-r), one-against-one (1-a-1) and decision trees based SVM have been presented. The disadvantages of the existing methods of SVM multi-class classification are analyzed and compared in this paper, such as 1-a-r is...
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