Advances in Feature Selection for Data and Pattern Recognition (Paperback, Softcover Repri)

An Introduction.- Attribute Selection Based on Reduction of Numerical Attribute During Discretization.- Improving Bagging Ensembles for Class Imbalanced Data by Active Learning.- Optimization of Decision Rules Relative to Length Based on Modified Dynamic Programming Approach.- Ranking-Based Rule Classifier Optimisation.- Attribute Selection in a Dispersed Decision-Making System.- Feature Selection Approach for Rule-based Knowledge Bases.- Feature Selection with a Genetic Algorithm for Classification of Brain Imaging Data.