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Decision and inhibitory trees and ru...
~
Alsolami, Fawaz.
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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 decisions/ by 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
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.156..
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
Standard No.: 10.1007/978-3-030-12854-8doiSubjects--Topical Terms:
827433
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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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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Intelligent Technologies and Robotics (Springer-42732)
based on 0 review(s)
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W9388317
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11.線上閱覽_V
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EB HD30.23
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