"Innovative Applications in Data Mining" ed. by Nadia Nedjah, Luiza de Macedo Mourelle, Janusz Kacprzyk

This volume offers a wide spectrum of research work developed for data mining for real-world application.

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.

Contents
1 Application of Data Mining Techniques to Storage Management and Online Distribution of Satellite Images - Denise N. Rotondi Azevedo, Jose M. Parente de Oliveira
2 A GUI Tool for Plausible Reasoning in the Semantic Web Using MEBN - Rommel N. Carvalho, Marcelo Ladeira, Laecio L. Santos, Shou Matsumoto, Paulo Cesar G. Costa
3 Multiobjective Optimization and Rule Learning: Subselection Algorithm or Meta-heuristic Algorithm? - Celso Y. Ishida, Aurora Pozo, Elizabeth Goldbarg, Marco Goldbarg
4 Clustering Dynamic Web Usage Data - Alzennyr da Silva, Yves Lechevallier, Fabrice Rossi, Francisco de Carvalho
5 Towards Characterization of the Data Generation Process - Vasudha Bhatnagar, Sarabjeet Kochhar
6 Data Mining Applied to the Electric Power Industry: Classification of Short-Circuit Faults in Transmission Lines - Yomara Pires, Jefferson Morais, Claudomir Cardoso, Aldebaro Klautau
Author Index