Feature Selection in Data Mining
Approaches Based on Information Theory
Revision with unchanged content. 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 to large feature sets. The book also describes how to use streamwise feature selecito…
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Produktdetails
- ISBN: 978-3-639-41818-7
- EAN: 9783639418187
- Produktnummer: 36361757
- Verlag: AV Akademikerverlag
- Sprache: Englisch
- Erscheinungsjahr: 2012
- Seitenangabe: 104 S.
- Masse: H22.0 cm x B15.0 cm x D0.6 cm 173 g
- Abbildungen: Paperback
- Gewicht: 173
Über den Autor
Is an Applied Science Researcher in Microsoft, solving research problems that impact business performance and building advanced prototypes. He received a Ph.D. from the University of Pennsylvania.
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