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

  • Muhammad Summair Raza
  • Usman Qamar

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Muhammad Summair Raza, Usman Qamar
    Pages 1-25
  3. Muhammad Summair Raza, Usman Qamar
    Pages 27-52
  4. Muhammad Summair Raza, Usman Qamar
    Pages 53-79
  5. Muhammad Summair Raza, Usman Qamar
    Pages 81-107
  6. Muhammad Summair Raza, Usman Qamar
    Pages 109-129
  7. Muhammad Summair Raza, Usman Qamar
    Pages 131-143
  8. Muhammad Summair Raza, Usman Qamar
    Pages 145-154
  9. Muhammad Summair Raza, Usman Qamar
    Pages 155-194

About this book

Introduction

This book provides a comprehensive introduction to Rough Set-based feature selection. It enables the reader to systematically study all topics of Rough Set Theory (RST) including the preliminaries, advanced concepts and feature selection using RST. In addition, the book is supplemented with an RST-based API library that can be used to implement several RST concepts and RST-based feature selection algorithms.

Rough Set Theory, proposed in 1982 by Zdzislaw Pawlak, is an area in constant development. Focusing on the classification and analysis of imprecise or uncertain information and knowledge, it has become a prominent tool for data analysis. Feature selection is one of the important applications of RST, and helps us select the features that provide us with the largest amount of useful information.

The book offers a valuable reference guide for all students, researchers, and developers working in the areas of feature selection, knowledge discovery and reasoning with uncertainty, especially those involved in RST and granular computing.

Keywords

Feature Selection (FS) Rough Set Theory (RST) Attribute Reduction Dimensionality Reduction RSAR

Authors and affiliations

  • Muhammad Summair Raza
    • 1
  • Usman Qamar
    • 2
  1. 1.Department of Computer Engineering, College of Electrical & Mechanical EngineeringNational University of Sciences and Technology (NUST)RawalpindiPakistan
  2. 2.Department of Computer Engineering, College of Electrical & Mechanical EngineeringNational University of Sciences and Technology (NUST)RawalpindiPakistan

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-4965-1
  • Copyright Information The Editor(s) (if applicable) and The Author(s) 2017
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-10-4964-4
  • Online ISBN 978-981-10-4965-1
  • Buy this book on publisher's site