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Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions: 156 (Intelligent Systems Reference Library) - Tapa blanda

Libro 127 de 188: Intelligent Systems Reference Library

Alsolami, Fawaz; Azad, Mohammad; Chikalov, Igor; Moshkov, Mikhail

 
9783030128562: Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions: 156 (Intelligent Systems Reference Library)
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ISBN 10: 3030128563 ISBN 13: 9783030128562
Editorial: Springer, 2020

Sinopsis

The results presented here (including the assessment of a new tool – inhibitory trees) offer valuable tools for researchers in the areas of data mining, knowledge discovery, and machine learning, especially those whose work involves decision tables with many-valued decisions. The authors consider various examples of problems and corresponding decision tables with many-valued decisions, discuss the difference between decision and inhibitory trees and rules, and develop tools for their analysis and design. Applications include the study of totally optimal (optimal in relation to a number of criteria simultaneously) decision and inhibitory trees and rules; the comparison of greedy heuristics for tree and rule construction as single-criterion and bi-criteria optimization algorithms; and the development of a restricted multi-pruning approach used in classification and knowledge representation.


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De la contraportada

The results presented here (including the assessment of a new tool inhibitory trees) offer valuable tools for researchers in the areas of data mining, knowledge discovery, and machine learning, especially those whose work involves decision tables with many-valued decisions. The authors consider various examples of problems and corresponding decision tables with many-valued decisions, discuss the difference between decision and inhibitory trees and rules, and develop tools for their analysis and design. Applications include the study of totally optimal (optimal in relation to a number of criteria simultaneously) decision and inhibitory trees and rules; the comparison of greedy heuristics for tree and rule construction as single-criterion and bi-criteria optimization algorithms; and the development of a restricted multi-pruning approach used in classification and knowledge representation.


"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2020
Idioma
Inglés
ISBN 10 
3030128563
ISBN 13 
9783030128562
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
296
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