Research output per year
Research output per year
Personal profile
Research Overview
Professor Moshkov's research interests include:
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.
Analysis and design of classifiers based on decision trees, reducts, decision rule systems, inhibitory rule systems, and lazy learning algorithms.
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 and data mining.
Key Research Areas
Applied Mathematics and Computational Science, Computer Science, Machine Learning
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education
D.S., Lomonosov Moscow State University
1999
Award Date: Jan 1 1999
Ph.D., Saratov State University
1983
Award Date: Jan 1 1983
M.S., Lobachevsky State University of Nizhni Novgorod
1977
Award Date: Jan 1 1977
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Publications
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Critical Properties and Complexity Measures of Read-Once Boolean Functions
Lozin, V. & Moshkov, M., Mar 22 2021, In: Annals of Mathematics and Artificial Intelligence.Research output: Contribution to journal › Article › peer-review
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Decision trees based on 1-consequences
Moshkov, M., Jul 20 2021, In: Discrete Applied Mathematics. 302, p. 208-214 7 p.Research output: Contribution to journal › Article › peer-review
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Entropy-Based Greedy Algorithm for Decision Trees Using Hypotheses
Azad, M., Chikalov, I., Hussain, S. & Moshkov, M., Jun 25 2021, In: Entropy. 23, 7, p. 808Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Minimizing Depth of Decision Trees with Hypotheses
Azad, M., Chikalov, I., Hussain, S. & Moshkov, M., Sep 16 2021, Rough Sets. Springer International Publishing, p. 123-133 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Minimizing Number of Nodes in Decision Trees with Hypotheses
Azad, M., Chikalov, I., Hussain, S. & Moshkov, M., 2021, In: Procedia Computer Science. 192, p. 232-240 9 p.Research output: Contribution to journal › Article › peer-review
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On the depth of decision trees over infinite 1-homogeneous binary information systems
Moshkov, M., Apr 2021, In: Array. p. 100060Research output: Contribution to journal › Article › peer-review
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Optimization of Decision Trees with Hypotheses for Knowledge Representation
Azad, M., Chikalov, I., Hussain, S. & Moshkov, M., Jun 30 2021, In: Electronics. 10, 13, p. 1580Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Sorting by decision trees with hypotheses (extended abstract)
Azad, M., Chikalov, I., Hussain, S. & Moshkov, M., Jan 1 2021, 29th International Workshop on Concurrency, Specification and Programming, CS and P 2021. CEUR-WS, p. 126-130 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Prizes and Honors
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Elected a Senior Member of International Rough Set Society
Moshkov, Mikhail (Recipient), 2016
Prize: Award or Honor › Learned Society
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State Scientific Stipend in Mathematics for Outstanding Scientists, 2000 - 2003
Moshkov, Mikhail (Recipient), 2000
Prize: Award or Honor › Excellence Award
Research News
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Knowledge Representation Using Decision Trees Constructed Based on Binary Splits.(Report)
10/1/20
1 item of Media coverage
Press/Media: Press / Media
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‘Our Key Advantage is the International Nature of the Programme and Unique Combination of Theory and Practice’
11/18/15
1 item of Media coverage
Press/Media: Press / Media