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

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Information Technology, General Computing
Cover of the book Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications by Muhammad Summair Raza, Usman Qamar, Springer Singapore
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Author: Muhammad Summair Raza, Usman Qamar ISBN: 9789811049651
Publisher: Springer Singapore Publication: June 28, 2017
Imprint: Springer Language: English
Author: Muhammad Summair Raza, Usman Qamar
ISBN: 9789811049651
Publisher: Springer Singapore
Publication: June 28, 2017
Imprint: Springer
Language: English

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.

  3. Details of various representative and state of the art feature selection techniques along with algorithmic explanations.

  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.

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.

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

  3. Details of various representative and state of the art feature selection techniques along with algorithmic explanations.

  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.

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.

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.

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