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Decision and inhibitory trees and ru...

Alsolami, Fawaz.

Decision and inhibitory trees and rules for decision tables with many-valued decisions

Record Type:	Electronic resources : Monograph/item
Title/Author:	Decision and inhibitory trees and rules for decision tables with many-valued decisionsby Fawaz Alsolami ... [et al.].
other author:	Alsolami, Fawaz.
Published:	Cham :Springer International Publishing :2020.
Description:	xvii, 276 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Decision trees.
Online resource:	https://doi.org/10.1007/978-3-030-12854-8
ISBN:	9783030128548$q(electronic bk.)

Decision and inhibitory trees and rules for decision tables with many-valued decisions
Decision and inhibitory trees and rules for decision tables with many-valued decisions[electronic resource] /by Fawaz Alsolami ... [et al.]. - Cham :Springer International Publishing :2020. - xvii, 276 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.1561868-4394 ;. - Intelligent systems reference library ;v.24..

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.

ISBN: 9783030128548$q(electronic bk.)

Standard No.: 10.1007/978-3-030-12854-8doiSubjects--Topical Terms:

280975
Decision trees.

LC Class. No.: HD30.23

Dewey Class. No.: 658.403

Decision and inhibitory trees and rules for decision tables with many-valued decisions
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245 0 0 $a Decision and inhibitory trees and rules for decision tables with many-valued decisions $h [electronic resource] / $c by Fawaz Alsolami ... [et al.].
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300 $a xvii, 276 p. : $b ill., digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4394 ; $v v.156
520 $a 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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