Greedy Algorithms for Construction of Decision Trees with Hypotheses

Mohammad Azad, Igor Chikalov, Shahid Hussain, Mikhail Moshkov, Beata Zielosko

Research output: Chapter in Book/Report/Conference proceedingChapter


In this chapter, we present greedy algorithms based on diverse uncertainty measures for the construction of decision trees with hypotheses and discuss the results of computer experiments on various data sets and randomly generated Boolean functions. We also study the length and coverage of decision rules derived from the decision trees constructed by greedy algorithms.
Original languageEnglish (US)
Title of host publicationDecision Trees with Hypotheses
PublisherSpringer International Publishing
Number of pages18
ISBN (Print)9783031085840
StatePublished - Nov 19 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-12-02


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