Feature Selection in Data Mining: Approaches Based on Information Theory - Softcover

Zhou, Jing

Softcover

ISBN 10: 3639418182 ISBN 13: 9783639418187

Verlag: AV Akademikerverlag, 2012

Inhaltsangabe

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 seleciton in multivariate regressions. It includes a review of traditional feature selecitions in a general frame­work based on information theory, and compares these methods with streamwise feature selection on various real and synthetic data sets. This book is intended to be used by researchers in machine learning, data mining, and knowledge discovery.

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Über die Autorin bzw. 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.

Details zur Ausgabe

• Verlag: AV Akademikerverlag
• Erscheinungsdatum: 2012
• Sprache: Englisch
• ISBN 10: 3639418182
• ISBN 13: 9783639418187
• Einband: Taschenbuch
• Anzahl der Seiten: 104
• Kontakt zum Hersteller: Fastbook Publishing; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland