1 citations · 1 across the 4 of their papers we have counts for
4 papers
Greedy Algorithm for Inference of Decision Trees from Decision Rule Systems
Kerven Durdymyradov, Mikhail Moshkov
Decision trees and decision rule systems play important roles as classifiers, knowledge representation tools, and algorithms. They are easily interpretable models for data analysis…
A Local Approach to Studying the Time and Space Complexity of Deterministic and Nondeterministic Decision Trees
Kerven Durdymyradov, Mikhail Moshkov
In this paper, we study arbitrary infinite binary information systems each of which consists of an infinite set called universe and an infinite set of two-valued functions (attribu…
Construction of Decision Trees and Acyclic Decision Graphs from Decision Rule Systems
Kerven Durdymyradov, Mikhail Moshkov
Decision trees and systems of decision rules are widely used as classifiers, as a means for knowledge representation, and as algorithms. They are among the most interpretable model…
Bounds on Depth of Decision Trees Derived from Decision Rule Systems
Kerven Durdymyradov, Mikhail Moshkov
Systems of decision rules and decision trees are widely used as a means for knowledge representation, as classifiers, and as algorithms. They are among the most interpretable model…