Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications
tarafından
Raza, Muhammad Summair. author.
Başlık
:
Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications
Yazar
:
Raza, Muhammad Summair. author.
ISBN
:
9789811049651
Yazar
:
Raza, Muhammad Summair. author.
Edisyon
:
1st ed. 2017.
Fiziksel Niteleme
:
XIII, 194 p. 75 illus. online resource.
İçindekiler
:
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.
Özet
:
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.
Konu Başlığı
:
Artificial intelligence.
Database management.
Data mining.
Electronic data processing.
Artificial Intelligence. http://scigraph.springernature.com/things/product-market-codes/I21000
Information Systems Applications (incl. Internet). http://scigraph.springernature.com/things/product-market-codes/I18040
Database Management. http://scigraph.springernature.com/things/product-market-codes/I18024
Data Mining and Knowledge Discovery. http://scigraph.springernature.com/things/product-market-codes/I18030
Numeric Computing. http://scigraph.springernature.com/things/product-market-codes/I1701X
Yazar Ek Girişi
:
Qamar, Usman.
Ek Kurum Yazar
:
SpringerLink (Online service)
Elektronik Erişim
:
Materyal Türü | Barkod | Yer Numarası | Durumu/İade Tarihi |
---|
Electronic Book | 223669-1001 | Q334 -342 | Springer E-Book Collection |