Real-world case studies of data mining are based on proprietary datasets, making it hard to publish the results and evaluate the data mining techniques. This book offers the latest research developed for data mining for real-world application. Editor(s): Nedjah, Nadia; Mourelle, Luiza de Macedo; Kacprzyk, Janusz. Series: Studies in Computational Intelligence. Num Pages: 124 pages, 57 black & white illustrations, 21 black & white tables, biography. BIC Classification: UGC; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 7. Weight in Grams: 225. . 2010. 1st ed. Softcover of orig. ed. 2009. Paperback. . . . .

N� de ref. del art�culo V9783642099762

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T�tulo: Innovative Applications in Data Mining
Editor: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Fecha de publicaci�n: 2010
Idioma: Ingl�s
ISBN 10: 3642099769
ISBN 13: 9783642099762
Encuadernaci�n: Encuadernaci�n de tapa blanda
Edici�n: 1� Edici�n
Estado: New

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Sinopsis

Data mining consists of attempting to discover novel and useful knowledge from data, trying to find patterns among datasets that can help in intelligent decision making. However, reports of real-world case studies are not generally detailed in the literature, due to the fact that they are usually based on proprietary datasets, making it impossible to publish the results. This kind of situation makes hard to evaluate, in a precise way, the degree of effectiveness of data mining techniques in real-world applications. On the other hand, researchers of this field of expertise usually exploit public-domain datasets.

This volume offers a wide spectrum of research work developed for data mining for real-world application. In the following, we give a brief introduction of the chapters that are included in this book.

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