Overview
- Recent advances in data mining
Part of the book series: Studies in Computational Intelligence (SCI, volume 169)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Innovative Applications in Data Mining
Editors: Nadia Nedjah, Luiza Macedo Mourelle, Janusz Kacprzyk
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-88045-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-540-88044-8Published: 17 January 2009
Softcover ISBN: 978-3-642-09976-2Published: 28 October 2010
eBook ISBN: 978-3-540-88045-5Published: 13 October 2008
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIV, 124
Number of Illustrations: 57 b/w illustrations
Topics: Mathematical and Computational Engineering, Artificial Intelligence