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

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<p>The book will provide:</p><p>1) In depth explanation of rough set theory along with examples of the concepts.</p><p>2) Detailed discussion on idea of feature selection.</p>3) Details of various representative and state of the art feature selection techniques along with algorithmic explanations.<p></p><p>4) Critical review of state of the art rough set based feature selection methods covering strength and weaknesses of each.</p><p>5) In depth investigation of various application areas using rough set based feature selection.</p><p>6) Complete Library of Rough Set APIs along with complexity analysis and detailed manual of using APIs</p><p>7) Program files of various representative Feature Selection algorithms along with explanation of each.</p>The book will be a complete and self-sufficient source both for primary and secondary audience. Starting from basic concepts to state-of-the art implementation, it will be a constant source of help both for practitioners and researchers. <p>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. </p><p>Providing complexity analysis along with full working programs will further simplify analysis and comparison of algorithms.</p>