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

✍ Scribed by Muhammad Summair Raza, Usman Qamar

• Publisher: Springer Singapore
• Year: 2019
• Tongue: English
• Leaves: 243
• Edition: 2nd ed. 2019
• Category: Library

✦ Synopsis

This book provides a comprehensive introduction to rough set-based feature selection. Rough set theory, first proposed by Zdzislaw Pawlak in 1982, continues to evolve. Concerned with the classification and analysis of imprecise or uncertain information and knowledge, it has become a prominent tool for data analysis, and enables the reader to systematically study all topics in rough set theory (RST) including preliminaries, advanced concepts, and feature selection using RST. 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.

The book provides an essential reference guide for students, researchers, and developers working in the areas of feature selection, knowledge discovery, and reasoning with uncertainty, especially those who are working in RST and granular computing. The primary audience of this book is the research community using rough set theory (RST) to perform feature selection (FS) on large-scale datasets in various domains. However, any community interested in feature selection such as medical, banking, and finance can also benefit from the book.

This second edition also covers the dominance-based rough set approach and fuzzy rough sets. The dominance-based rough set approach (DRSA) is an extension of the conventional rough set approach and supports the preference order using the dominance principle. In turn, fuzzy rough sets are fuzzy generalizations of rough sets. An API library for the DRSA is also provided with the second edition of the book.

✦ Table of Contents

Front Matter ....Pages i-xvi
Introduction to Feature Selection (Muhammad Summair Raza, Usman Qamar)....Pages 1-25
Background (Muhammad Summair Raza, Usman Qamar)....Pages 27-51
Rough Set Theory (Muhammad Summair Raza, Usman Qamar)....Pages 53-79
Advanced Concepts in Rough Set Theory (Muhammad Summair Raza, Usman Qamar)....Pages 81-107
Rough Set Theory Based Feature Selection Techniques (Muhammad Summair Raza, Usman Qamar)....Pages 109-134
Unsupervised Feature Selection Using RST (Muhammad Summair Raza, Usman Qamar)....Pages 135-147
Critical Analysis of Feature Selection Algorithms (Muhammad Summair Raza, Usman Qamar)....Pages 149-158
Dominance-Based Rough Set Approach (Muhammad Summair Raza, Usman Qamar)....Pages 159-177
Fuzzy Rough Sets (Muhammad Summair Raza, Usman Qamar)....Pages 179-188
Introduction to Classical Rough Set Based APIs Library (Muhammad Summair Raza, Usman Qamar)....Pages 189-227
Dominance Based Rough Set APIs Library (Muhammad Summair Raza, Usman Qamar)....Pages 229-236

✦ Subjects

Computer Science; Information Systems Applications (incl.Internet); Database Management; Data Mining and Knowledge Discovery; Numeric Computing