Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions - Couverture souple

Livre 127 sur 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
Couverture souple
ISBN 10 : 3030128563 ISBN 13 : 9783030128562
Editeur : Springer, 2020

Synopsis

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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Éditeur
Springer
Date d'édition
2020
Langue
anglais
ISBN 10 
3030128563
ISBN 13 
9783030128562
Reliure
Broché
Numéro d'édition
1
Nombre de pages
296
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Autres éditions populaires du même titre

9783030128531: Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions

Edition présentée

ISBN 10 :  3030128539 ISBN 13 :  9783030128531
Editeur : Springer, 2019
Couverture rigide