Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2012
ISBN 10: 3848430622 ISBN 13: 9783848430628
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 72.
Lingua: Inglese
Editore: LAP Lambert Academic Publishing, 2012
ISBN 10: 3848430622 ISBN 13: 9783848430628
Da: preigu, Osnabrück, Germania
EUR 43,30
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Insight into Data Preprocessing: Theory and Practice | Data Mining Perspective | Subramanian alias Balamurugan Appavu (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783848430628 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2012
ISBN 10: 3848430622 ISBN 13: 9783848430628
Da: Majestic Books, Hounslow, Regno Unito
EUR 76,99
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 72 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2012
ISBN 10: 3848430622 ISBN 13: 9783848430628
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 77,91
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 72.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848430622 ISBN 13: 9783848430628
Da: moluna, Greven, Germania
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Balamurugan S. AppavuDr.S.A.Balamurugan,APIT,TCE,Madurai,India. He received his PhD in Data mining from Anna University,Chennai. His research has been supported by UGC,India. He is a member of IEEE and CSI. He has published more tha.
Lingua: Inglese
Editore: LAP Lambert Academic Publishing, 2012
ISBN 10: 3848430622 ISBN 13: 9783848430628
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 49,59
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In real world datasets, lots of redundant and conflicting data exists. The performance of a classification algorithm in data mining is greatly affected by noisy information (i.e. redundant and conflicting data). These arameters not only increase the cost of mining process, but also degrade the detection performance of the classifiers. They have to be removed to increase the efficiency and accuracy of the classifiers. This process is called as the tuning of the dataset.Insight into Data pre-processing: Theory and Practice is the master reference that practitioners and researchers have long been seeking. It is also the obvious choice for academic and industry people.Features-1.Provides in-depth, practical coverage of essential data preprocessing topics, including data cleaning, integration, transformation, reduction and discretization. 2.Addresses the method to deals with redundant and conflicting pattern.