Affiliations

• Applied Mathematics and Computational Science

Education Profile

• D.Sc. Moscow State University, Russia, 1999
• Ph.D. Saratov State University, Russia, 1983
• M.S. Diploma Summa cum Laude, State University of Nizhni Novgorod, Russia, 1977

Research Interests

An author of more than 280 publications, Professor Moshkov's research interests include: (i) study of time complexity of algorithms in such computational models as decision trees, decision rule systems and acyclic programs with applications to combinatorial optimization, fault diagnosis, pattern recognition, machine learning, data mining and analysis of Bayesian networks, (ii) analysis and design of classifiers based on decision trees, reducts, decision rule systems, inhibitory rule systems, and lazy learning algorithms, and (iii) extensions of dynamic programming for sequential optimization relative to different cost functions and for study of relationships between two cost functions with applications to combinatorial optimization, machine learning, and data mining.

Selected Publications

• K.Durdymyradov, M.Moshkov, A.Ostonov: Decision Trees Versus Systems of Decision Rules. A Rough Set Approach. Series Studies in Big Data, vol. 160, Springer 2024

• M.Busbait, M.Moshkov, A.Moshkova, V.Shevtchenko: Decision Trees for Fault Diagnosis in Circuits and Switching Networks. Series Studies in Systems, Decision and Control, vol. 493, Springer 2023

• M.Azad, I.Chikalov, S.Hussain, M.Moshkov, B.Zielosko: Decision Trees with Hypotheses. Series Synthesis Lectures on Intelligent Technologies, Springer 2022

• M.Mankowski, M.Moshkov: Dynamic Programming Multi-Objective Combinatorial Optimization. Series Studies in Systems, Decision and Control, vol. 331, Springer 2021

• M.Moshkov: Comparative Analysis of Deterministic and Nondeterministic Decision Trees. Series Intelligent Systems Reference Library, vol. 179, Springer 2020