Feature Selection for Data and Pattern Recognition

• 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.

"The content of the book is outstanding from the point of view of the novelty of the exposed methods, the clarity of the discourse, and the variety of the illustrative examples. ... The book is aimed at researchers and practitioners in the domains of machine learning, computer science, data mining, statistical pattern recognition, and bioinformatics." (L. State, Computing Reviews, June, 2015)