Description: Decision and Inhibitory Trees and Rules for Decision Tables With Many-valued Decisions, Hardcover by Alsolami, Fawaz; Azad, Mohammad; Chikalov, Igor; Moshkov, Mikhail, ISBN 3030128539, ISBN-13 9783030128531, Like New Used, Free P&P in the UK
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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Book Title: Decision and Inhibitory Trees and Rules for Decision Tables With
Number of Pages: 276 Pages
Language: English
Publication Name: Decision and Inhibitory Trees and Rules for Decision Tables with Many-Valued Decisions
Publisher: Springer Nature Switzerland A&G
Publication Year: 2019
Subject: Computer Science, Mathematics
Item Height: 235 mm
Item Weight: 612 g
Type: Textbook
Author: Fawaz Alsolami, Mikhail Moshkov, Mohammad Azad, Igor Chikalov
Series: Intelligent Systems Reference Library
Item Width: 155 mm
Format: Hardcover
