Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications

The book will provide:

1) In depth explanation of rough set theory along with examples of the concepts.

2) Detailed discussion on idea of feature selection.

4) Critical review of state of the art rough set based feature selection methods covering strength and weaknesses of each.

5) In depth investigation of various application areas using rough set based feature selection.

6) Complete Library of Rough Set APIs along with complexity analysis and detailed manual of using APIs

7) Program files of various representative Feature Selection algorithms along with explanation of each.

Book will provide in-depth explanation of concepts supplemented with working examples to help in practical implementation. As far as practical implementation is concerned, the researcher/practitioner can fully concentrate on his/her own work without any concern towards implementation of basic RST functionality.

Providing complexity analysis along with full working programs will further simplify analysis and comparison of algorithms.