Decision and Inhibitory Trees and Rules for Decision Tables with Many-Valued Decisions

by Fawaz Alsolami, Mikhail Moshkov, Mohammad Azad, et al.

Book Overview

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,... This description may be from another edition of this product.

• Format: Paperback
• Language: English
• ISBN: 3030128563
• ISBN13: 9783030128562
• Release Date: November 2020
• Publisher: Springer
• Length: 276 Pages
• Weight: 0.92 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"