Chapter 1 Feature Selection for Data and Pattern Recognition: An Introduction

Chapter 2 All Relevant Feature Selection Methods and Applications

Chapter 3 Feature Evaluation by Filter, Wrapper, and Embedded Approaches

Chapter 4 A Geometric Approach to Feature Ranking Based Upon Results of Effective Decision Boundary Feature Matrix

Chapter 5 Weighting of Features by Sequential Selection

Chapter 6 Dependency Analysis and Attribute Reduction in the Probabilistic Approach to Rough Sets

Chapter 8 A Comparison of Rule Induction Using Feature Selection and the LEM2 Algorithm

Chapter 9 Meta-actions as a Tool for Action Rules Evaluation

Chapter 10 Irrelevant Feature and Rule Removal for Structural Associative Classification Using Structure-Preserving Flat Representation

Chapter 11 Hubness-Aware Classification, Instance Selection and Feature Construction: Survey and Extensions to Time-Series

Chapter 12 Selection of Visual Descriptors for the Purpose of Multi-camera Object Re-identification

Chapter 13 Improving the Recognition Performance of Moment Features by Selection

Chapter 14 Signature Selection for Grouped Features with a Case Study on Exon Microarrays