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Data Mining and Knowledge Discovery Handbook

Maimon, Oded (Editor)

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ISBN 10: 0387098224 / ISBN 13: 9780387098227
Editorial: Springer-Verlag New York Inc, 2010
Nuevos Condición: Brand New Encuadernación de tapa dura
Librería: Revaluation Books (Exeter, Reino Unido)

Librería en AbeBooks desde: 6 de enero de 2003

Cantidad disponible: 2

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Descripción

2nd ed. edition. 1285 pages. 9.30x6.20x2.00 inches. In Stock. N° de ref. de la librería __0387098224

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Detalles bibliográficos

Título: Data Mining and Knowledge Discovery Handbook

Editorial: Springer-Verlag New York Inc

Año de publicación: 2010

Encuadernación: Hardcover

Condición del libro:Brand New

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Sinopsis:

<P>THIS BOOK ORGANIZES KEY CONCEPTS, THEORIES, STANDARDS, METHODOLOGIES, TRENDS, CHALLENGES AND APPLICATIONS OF DATA MINING AND KNOWLEDGE DISCOVERY IN DATABASES. IT FIRST SURVEYS, THEN PROVIDES COMPREHENSIVE YET CONCISE ALGORITHMIC DESCRIPTIONS OF METHODS, INCLUDING CLASSIC METHODS PLUS THE EXTENSIONS AND NOVEL METHODS DEVELOPED RECENTLY. IT ALSO GIVES IN-DEPTH DESCRIPTIONS OF DATA MINING APPLICATIONS IN VARIOUS INTERDISCIPLINARY INDUSTRIES.</P>

Críticas:

From the reviews of the second edition: "This handbook provides an excellent guide in every aspect of the discovery process. ... Contributors are drawn from noted academic institutions and companies around the world and across diverse disciplines. ... serves to define the current state of the art in knowledge discovery, and is particularly useful in cross-fertilization among a diverse set of application scenarios. It is an indispensable reference for researchers and an excellent starting point for advanced students taking graduate courses in this area. Summing Up: Highly recommended. Upper-division undergraduates through professionals/practitioners." (J. Y. Cheung, Choice, Vol. 48 (10), June, 2011) "This edition treats new aspects (for instance, privacy) and new methods, like those based on swarm intelligence and multi-label classification. ... The book is a comprehensive and detailed reference. ... Each chapter contains a long list of references for further investigation. ... I recommend this comprehensive book to advanced readers--including designers and architects at software companies--interested in the R&D of data mining." (K. Balogh, ACM Computing Reviews, November, 2011)

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Legal entity name: Edward Bowditch Ltd
Legal entity form: Limited company
Business correspondence address: Exstowe, Exton, Exeter, EX3 0PP
Company registration number: 04916632
VAT registration: GB834241546
Authorised representative: Mr. E. Bowditch

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