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Feature Selection in Data Mining - Approaches Based on Information Theory

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In many predictive modeling tasks, one has a fixed set of observations from which a vast, or even infinite, set of potentially predictive features can be computed. Of these features, often only a small number are expected to be useful in a predictive model. Models which use the entire set of features will almost certainly overfit on future data sets. The book presents streamwise feature selection which interleaves the process of generating new features with that of feature testing. Streamwise feature selection scales well ...

Feature Selection in Data Mining - Approaches Based on Information Theory 2007, VDM Verlag Dr. Mueller E.K., Saarbrucken

ISBN-13: 9783836427111

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