Understanding and using rough set based feature selection : concepts, techniques and applications / Muhammad Summair Raza, Usman Qamar.
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-b...
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| Online Access: |
Full Text (via Springer) |
|---|---|
| Main Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Singapore :
Springer,
[2017]
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| Edition: | Extras online [edition] |
| Subjects: |
Table of Contents:
- Introduction to Feature Selection
- Background
- Rough Set Theory
- Advance Concepts in RST
- Rough Set Based Feature Selection Techniques
- Unsupervised Feature Selection using RST
- Critical Analysis of Feature Selection Algorithms
- RST Source Code.