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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Informatik Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications
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Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications
Muhammad Summair Raza, Usman Qamar (Gebundene Ausgabe, Englisch)
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Beschreibung
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. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
04.09.2019
Sprache
Englisch
EAN
9789813291652
Herausgeber
Springer Singapore
Sonderedition
Nein
Autor
Muhammad Summair Raza, Usman Qamar
Seitenanzahl
236
Auflage
2
Einbandart
Gebundene Ausgabe
Schlagwörter
Feature Selection (FS), Rough Set Theory (RST), Attribute Reduction, Dimensionality Reduction, RSAR
Thema-Inhalt
UYQ - Künstliche Intelligenz
UX - Angewandte Informatik
UN - Datenbanken
UNF - Data Mining
UYQE - Wissensbasierte Systeme, Expertensysteme
PBKS - Numerische Mathematik
Höhe
235 mm
Breite
15.5 cm
Transparenz & Sicherheit
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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