Innovative Applications in Data Mining (Paperback, 1st ed. Softcover of orig. ed. 2009)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Studies in Computational Intelligence, 169
Release date:	October 2010
First published:	2009
Editors:	Nadia Nedjah • Luiza de Macedo Mourelle • Janusz Kacprzyk
Dimensions:	235 x 155 x 7mm (L x W x T)
Format:	Paperback
Pages:	124
Edition:	1st ed. Softcover of orig. ed. 2009
ISBN-13:	978-3-642-09976-2
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-642-09976-9
Barcode:	9783642099762

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