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

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

Bibliographic Details
Main Authors: Raza, Muhammad Summair. (Author), Qamar, Usman. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Subjects:
Artificial intelligence.
Application software.
Database management.
Data mining.
Numerical analysis.
Artificial Intelligence.
Information Systems Applications (incl. Internet).
Database Management.
Data Mining and Knowledge Discovery.
Numeric Computing.
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.

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