ABSTRACT
Due to increasing demands for dimensionality reduction, research on feature selection has deeply and widely expanded into many fields, including computational statistics, pattern recognition, machine learning, data mining, and knowledge discovery. Highlighting current research issues, Computational Methods of Feature Selection introduces the
TABLE OF CONTENTS
part 1|2 pages
Part I: Introduction and Background
part 2|2 pages
Part II: Extending Feature Selection
part 3|2 pages
Part III: Weighting and Local Methods
part 4|2 pages
Part IV: Text Classification and Clustering
part 5|2 pages
Part V: Feature Selection in Bioinformatics