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Improved Method of Feature Selection Based on Information Gain

机译:基于信息增益的特征选择改进方法

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摘要

Feature selection is an essential part of text categorization, which can effectively improve classification precision and efficiency. With some drawbacks proposed from traditional IG approach, an optimized approach that takes concentration and distribution into account is proposed for improving IG approach. The experimental results show that the improved IG approach is superior to traditional IG approach in feature selection.
机译:特征选择是文本分类的重要组成部分,可以有效地提高分类精度和效率。鉴于传统IG方法提出的一些缺点,提出了一种考虑集中和分布的优化方法来改进IG方法。实验结果表明,改进的IG方法在特征选择方面优于传统IG方法。

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