Innovative Applications in Data Mining Hardback
Edited by Nadia Nedjah, Luiza de Macedo Mourelle, Janusz Kacprzyk
Part of the Studies in Computational Intelligence series
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.
- Format: Hardback
- Pages: 124 pages, 21 Tables, black and white; 57 Illustrations, black and white; XIV, 124 p. 57 illus.
- Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
- Publication Date: 17/01/2009
- Category: Data mining
- ISBN: 9783540880448