Feature Selection for Data and Pattern Recognition

• Corporate Author: SpringerLink (Online service)
• Other Authors: Stańczyk, Urszula (Editor), Jain, Lakhmi C. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
• Series: Studies in Computational Intelligence, 584
• Subjects: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition. Even though it has been the subject of interest for some time, feature selection remains one of act...

Table of Contents:

• Feature Selection for Data and Pattern Recogniton: an Introduction
• Part I Estimation of Feature Importance
• Part II Rough Set Approach to Attribute Reduction
• Part III Rule Discovery and Evaluation
• Part IV Data- and Domain-oriented Methodologies.