Innovative Applications in Data Mining

• Corporate Author: SpringerLink (Online service)
• Other Authors: Nedjah, Nadia. (Editor), Macedo Mourelle, Luiza. (Editor), Kacprzyk, Janusz. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Series: Studies in Computational Intelligence, 169
• Subjects: Engineering.; Artificial intelligence.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-540-88045-5

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 ba...

Table of Contents:

• Application of Data Mining Techniques to Storage Management and Online Distribution of Satellite Images
• A GUI Tool for Plausible Reasoning in the Semantic Web using MEBN
• Multiobjective Optimization and Rule Learning: Subselection Algorithm or Meta-heuristic Algorithm?
• Clustering Dynamic Web Usage Data
• Towards Characterization of the Data Generation Process
• Data Mining Applied to the Electric Power Industry: Classification of Short-Circuit Faults in Transmission Lines.