Hybrid Classifiers

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106,99 

Methods of Data, Knowledge, and Classifier Combination, Studies in Computational Intelligence 519

ISBN: 3662523043
ISBN 13: 9783662523049
Autor: Wozniak, Michal
Verlag: Springer Verlag GmbH
Umfang: xvi, 217 S., 66 s/w Illustr., 3 farbige Illustr., 217 p. 69 illus., 3 illus. in color.
Erscheinungsdatum: 27.08.2016
Auflage: 1/2014
Produktform: Kartoniert
Einband: Kartoniert

This book details how hybridization can help improve the quality of computer classification systems. It introduces the different levels of hybridization and illuminates common problems faced when dealing with such projects.

Artikelnummer: 9785783 Kategorie:

Beschreibung

This book delivers a definite and compact knowledge on how hybridization can help improving the quality of computer classification systems. In order to make readers clearly realize the knowledge of hybridization, this book primarily focuses on introducing the different levels of hybridization and illuminating what problems we will face with as dealing with such projects. In the first instance the data and knowledge incorporated in hybridization were the action points, and then a still growing up area of classifier systems known as combined classifiers was considered. This book comprises the aforementioned state-of-the-art topics and the latest research results of the author and his team from Department of Systems and Computer Networks, Wroclaw University of Technology, including as classifier based on feature space splitting, one-class classification, imbalance data, and data stream classification.

Herstellerkennzeichnung:


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E-Mail: juergen.hartmann@springer.com

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