Fawaz Alsolami Mohammad Azad Igor Chikalov Mikhail Moshkov Alsolami 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

von Fawaz Alsolami Mohammad Azad Igor Chikalov Mikhail Moshkov

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Beschreibung

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.



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.



Presents a revealing study on decision and inhibitory trees and rules for decision tables with many-valued decisions Provides various examples of problems and decision tables with many-valued decisions Studies the time complexity of decision and inhibitory trees and rule systems over arbitrary sets of attributes represented by information systems

Autor*in

Fawaz Alsolami

Themen in »Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions«

Intelligent Systems Decision Trees Inhibitory Trees Decision Tables Dynamic Programming

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Details

ISBN: 9783030128548
Verlag: Springer International Publishing
Erscheinung: 13.03.2019

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