Studies in Computational Intelligence

By: Nadia Nedjah (Editor), Luiza de Macedo Mourelle (Editor), Janusz Kacprzyk (Editor)

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Hardcover | 17 January 2009

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Hardcover
140 Pages

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24.13 x 15.88 x 0.64

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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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You Can Find This Book In

Non-Fiction Computing & I.T.Databases Data Mining Computer Science Artificial Intelligence Mathematics Applied Mathematics Engineering & Technology Technology in General Engineering in General Maths for Engineers

Application of Data Mining Techniques to Storage Management and Online Distribution of Satellite Images	p. 1
A GUI Tool for Plausible Reasoning in the Semantic Web Using MEBN	p. 17
Multiobjective Optimization and Rule Learning: Subselection Algorithm or Meta-heuristic Algorithm?	p. 47
Clustering Dynamic Web Usage Data	p. 71
Towards Characterization of the Data Generation Process	p. 83
Data Mining Applied to the Electric Power Industry: Classification of Short-Circuit Faults in Transmission Lines	p. 107
Author Index	p. 123
Table of Contents provided by Ingram. All Rights Reserved.

Studies in Computational Intelligence

At a Glance

Hardcover

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How to return your order

Defective items

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