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

"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"--SpringerLink Front Matter....Pages - Application of Data Mining Techniques to Storage Management and Online Distribution of Satellite Images....Pages 1-15 A GUI Tool for Plausible Reasoning in the Semantic Web Using MEBN....Pages 17-45 Multiobjective Optimization and Rule Learning: Subselection Algorithm or Meta-heuristic Algorithm?....Pages 47-70 Clustering Dynamic Web Usage Data....Pages 71-82 Towards Characterization of the Data Generation Process....Pages 83-105 Data Mining Applied to the Electric Power Industry: Classification of Short-Circuit Faults in Transmission Lines....Pages 107-122 Back Matter....Pages -