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Add to basketHardcover/ Pappband. Condition: Wie neu. 398 S. EDV Guter Zustand/ Good Ex-Library. Ecken bestoßen, Einband hat leichte Gebrauchsspuren, vereinzelt Bleistiftanstreichungen ha1082408 Sprache: Englisch Gewicht in Gramm: 750.
Condition: New. pp. 420.
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Published by Berlin - Heidelberg - New York: Springer-Verlag 2001, 2001
ISBN 10: 3540422897 ISBN 13: 9783540422891
Language: English
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Add to basketHardback, XIX+398 pp., 8° (16 x 24.5 cm), ex-library, two corners slightly bumped, there is a paper label on the backstrip, the front free endpaper has a blackened stamp, condition: very good Book Language/s: English.
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Add to basketCondition: New. pp. 420 Illus.
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Add to basketCondition: fine. couverture cartonnée, moyen format , très bon état. Inscriptions en page de garde. 2642907 - Data Mining in Finance: Advances in Relational and Hybrid Methods, Kovalerchuk, Boris, Springer, 2000.
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Published by Chapman and Hall/CRC, 2019
ISBN 10: 0367384051 ISBN 13: 9780367384050
Language: English
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ISBN 10: 0367384051 ISBN 13: 9780367384050
Language: English
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ISBN 10: 0367384051 ISBN 13: 9780367384050
Language: English
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Published by Chapman and Hall/CRC, 2019
ISBN 10: 0367384051 ISBN 13: 9780367384050
Language: English
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Published by Chapman and Hall/CRC, 2019
ISBN 10: 0367384051 ISBN 13: 9780367384050
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Published by Chapman and Hall/CRC, 2019
ISBN 10: 0367384051 ISBN 13: 9780367384050
Language: English
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Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2010
ISBN 10: 3642076041 ISBN 13: 9783642076046
Language: English
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First Edition
Paperback. Condition: new. Paperback. As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The first part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logic programming; subsequent chapters by leading experts assess the techniques in relational data mining in a principled and comprehensive way; finally, three chapters deal with advanced applications in various fields and refer the reader to resources for relational data mining.This book will become a valuable source of reference for R&D professionals active in relational data mining. Students as well as IT professionals and ambitioned practitioners interested in learning about relational data mining will appreciate the book as a useful text and gentle introduction to this exciting new field. As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Springer International Publishing AG, Cham, 2018
ISBN 10: 3319849778 ISBN 13: 9783319849775
Language: English
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Paperback. Condition: new. Paperback. This book provides two general granular computing approaches to mining relational data, the first of which uses abstract descriptions of relational objects to build their granular representation, while the second extends existing granular data mining solutions to a relational case.Both approaches make it possible to perform and improve popular data mining tasks such as classification, clustering, and association discovery. How can different relational data mining tasks best be unified? How can the construction process of relational patterns be simplified? How can richer knowledge from relational data be discovered? All these questions can be answered in the same way: by mining relational data in the paradigm of granular computing!This book will allow readers with previous experience in the field of relational data mining to discover the many benefits of its granular perspective. In turn, those readers familiar with the paradigm of granular computing will find valuable insights on its application to mining relational data. Lastly, the book offers all readers interested in computational intelligence in the broader sense the opportunity to deepen their understanding of the newly emerging field granular-relational data mining. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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