Innovative Applications in Data Mining (Studies in Computational Intelligence, 169) - Hardcover

Hardcover

ISBN 10: 3540880445 ISBN 13: 9783540880448

Publisher: Springer, 2009

Synopsis

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.

About this title

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2009
• Language: English
• ISBN 10: 3540880445
• ISBN 13: 9783540880448
• Binding: Hardcover
• Number of pages: 138
• Editor: Nedjah Nadia, Mourelle Luiza De Macedo, Kacprzyk Janusz