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Huan Liu (Editor), and Motoda, Hiroshi (Editor)
author size: 16
USD
206.66
price size: 16
Alibris /Alibris
dealer size: 16
New York, NY Springer 2012 Trade paperback New. Trade paperback (US). Glued binding. 410 p. The Springer International Engineering and Computer Science, 453.
description size: 16
Liu, Huan
USD
214.93
booksXpress /Abebooks
ISBN10: 146137622X, ISBN13: 9781461376224, [publisher: Springer] Softcover
[Bayonne, NJ, U.S.A.] [Publication Year: 2012]
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Hiroshi Motoda
USD
217.00
AHA-BUCH GmbH /ZVAB
ISBN10: 146137622X, ISBN13: 9781461376224, [publisher: Springer US] Softcover Druck auf Anfrage Neuware - Printed after ordering - There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from many leading and active researchers in this growing field and paints a picture of the state-of-art techniques that can boost the capabilities of many existing data mining tools. The objective of this collection is to increase the awareness of the data mining community about the research of feature extraction, construction and selection, which are currently conducted mainly in isolation. This book is part of our endeavor to produce a contemporary overview of modern solutions, to create synergy among these seemingly different branches, and to pave the way for developing meta-systems and novel approaches. Even with today's advanced computer technologies, discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Feature extraction, construction and selection are a set of techniques that transform and simplify data so as to make data mining tasks easier. Feature construction and selection can be viewed as two sides of the representation problem.
[Einbeck, Germany] [Pu ...
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N/A
USD
230.44
Lucky's Textbooks /Abebooks
ISBN10: 146137622X, ISBN13: 9781461376224, [publisher: Springer] Softcover
[Dallas, TX, U.S.A.] [Publication Year: 2012]
Hiroshi Motoda
USD
238.12
AHA-BUCH GmbH /AbebooksDE
ISBN10: 146137622X, ISBN13: 9781461376224, [publisher: Springer US] Softcover Druck auf Anfrage Neuware - Printed after ordering - There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from many leading and active researchers in this growing field and paints a picture of the state-of-art techniques that can boost the capabilities of many existing data mining tools. The objective of this collection is to increase the awareness of the data mining community about the research of feature extraction, construction and selection, which are currently conducted mainly in isolation. This book is part of our endeavor to produce a contemporary overview of modern solutions, to create synergy among these seemingly different branches, and to pave the way for developing meta-systems and novel approaches. Even with today's advanced computer technologies, discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Feature extraction, construction and selection are a set of techniques that transform and simplify data so as to make data mining tasks easier. Feature construction and selection can be viewed as two sides of the representation problem.
[Einbeck, Germany] [Pu ...
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Huan Liu
USD
249.88
Ria Christie Collections /Biblio
New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The Feature Extraction, Construction and Selection : A Data Mining Perspective. ISBN 146137622x 9781461376224 [GB]
N/A
USD
298.93
Mispah books /AbebooksUK
ISBN10: 146137622X, ISBN13: 9781461376224, [publisher: Springer] Softcover Like New
[Redhill, SURRE, United Kingdom] [Publication Year: 2012]

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