Cover Image
Read Now

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

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...

Full description

Bibliographic Details
Main Authors: Raza, Muhammad Summair, Qamar, Usman (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2017, 2017
Edition:1st ed. 2017
Subjects:
Numerical Analysis
Artificial Intelligence
Data Mining
Database Management
Application Software
Data Mining And Knowledge Discovery
Computer And Information Systems Applications
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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

Similar Items