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ID3 is the most classical algorithm generating decision tree. Greedy search strategy is applied to choose splitting attributes. Though it can insure the least testing frequency, the quick classifying speed and a decision tree with the least nodes, the shortcoming of inclining to attributes with many values still exists. However, these attributes are often not the optimal splitting attributes. Therefore,...
A major difficulty of text categorization is extremely high dimensionality of text feature space. The use of feature selection techniques for large-scale text categorization task is desired for improving the accuracy and efficiency. χ2 statistic and simplified χ2 are two effective feature selection methods in text categorization. Using these two feature selection criteria, for a term, one needs to...
Text categorization usually suffers from a huge-scale number of features. Most of those are irrelevant and noise which could mislead the classifier. In order to improve the efficiency and effectiveness for text categorization, feature selection is often performed. In this paper, a novel feature selection approach for dealing with text categorization, called Maximum Information Metric (MIM), is proposed...
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