Foundations of Feature Selection
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Abstract In order to confront the problem of the high dimensionality of data, feature selection algorithms have become indispensable components of the learning process. Therefore, a correct selection of the features can lead to an improvement of the inductive learner in terms of learning speed, generalization capacity or simplicity of the induced model. A global overview of the feature selection process is given in Section 2.1. Then, Section 2.2 describes the different types of feature selection methods, as well as providing a description of the most popular algorithms for further analysis and explanation in subsequent chapters of the book. Finally, Section 2.3 summarizes this chapter.
KeywordsFeature Selection Feature Subset Feature Selection Method Feature Selection Algorithm Feature Selection Technique
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