Time and Space Complexity of Deterministic and Nondeterministic Decision Trees: Local Approach. - Kerven Durdymyradov; Mikhail Moshkov (IEEE Big Data, 2023)

Bounds on Depth of Decision Trees Derived from Decision Rule Systems. - Kerven Durdymyradov; Mikhail Moshkov (CoRR, 2023)

Construction of Decision Trees and Acyclic Decision Graphs from Decision Rule Systems. - Kerven Durdymyradov; Mikhail Moshkov (CoRR, 2023)

A Local Approach to Studying the Time and Space Complexity of Deterministic and Nondeterministic Decision Trees. - Kerven Durdymyradov; Mikhail Moshkov (CoRR, 2023)

Complexity of Transforming Decision Rule Systems into Decision Trees and Acyclic Decision Graphs. - Kerven Durdymyradov; Mikhail Moshkov (ACIIDS (Companion 1), 2024)

Modeling the Functioning of Decision Trees Based on Decision Rule Systems by Greedy Algorithm. - Kerven Durdymyradov; Mikhail Moshkov (ICCCI (2), 2024)

Simulating Functioning of Decision Trees for Tasks on Decision Rule Systems. - Kerven Durdymyradov; Mikhail Moshkov (IJCRS (1), 2024)

Deterministic and Nondeterministic Decision Trees for Recognition of Properties of Decision Rule Systems. - Kerven Durdymyradov; Mikhail Moshkov (IJCRS (2), 2024)

Greedy Algorithm for Inference of Decision Trees from Decision Rule Systems. - Kerven Durdymyradov; Mikhail Moshkov (CoRR, 2024)

Bounds on depth of decision trees derived from decision rule systems with discrete attributes. - Kerven Durdymyradov; Mikhail Moshkov (Ann. Math. Artif. Intell., 2024)

Deterministic and Nondeterministic Decision Trees for Recognition of All Realizable Decision Rules. - Kerven Durdymyradov; Mikhail Moshkov (ACIIDS (2), 2025)