decision trees

Professor Mikhail Moshkov’s new book published by Springer

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Professor Mikhail Moshkov’s new book, “Computation Trees: A Generalization of Decision Trees,” has been published by Springer. Moshkov’s book is devoted to the study of deterministic and nondeterministic computation trees. Computation trees are a natural generalization of decision trees: in addition to the one-place predicate-type operations (attributes) used in decision trees, computation trees can use multi-place predicate and function operations. These models arise in areas such as combinatorial optimization, computational geometry, and classification or prediction tasks, particularly when

Relations between Decision Trees and Decision Rule Systems

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B5 L5 R5220

This thesis investigates the complex transformation of decision rule systems into decision trees, establishing bounds on tree depth, developing polynomial-time path-finding algorithms and an optimal dynamic programming algorithm for minimum depth, and analyzing time-space complexity trade-offs for trees over infinite binary information systems.

On Complexity of Decision Trees for Decision Tables from Closed Classes

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B5 L5 R5220

This thesis considers classes of decision tables closed under operations of removal of attributes (columns) and changing of decisions and study for the tables from these classes relationships among the minimum complexity of deterministic and nondeterministic decision trees and the complexity of the set of attributes attached to columns of the table, while also analyzing the algorithms for constructing decision trees for these decision tables.
Decision Trees Versus Systems of Decision Rules

New book by KAUST Ph.D. students Kerven Durdymyradov, Azimkhon Ostonov and Professor Mikhail Moshkov published by Springer

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New book by Ph.D. students Kerven Durdymyradov, Azimkhon Ostonov, and Professor Mikhail Moshkov explores decision trees and rule systems using rough set theory.

Decision Trees for Fault Diagnosis in Circuits and Switching Networks

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B9 L2 H2325

We study theoretical problems of fault diagnosis in circuits and switching networks, which are among the most fundamental models for computing Boolean functions.

New Book "Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions" of Professor Moshkov and His Former Students is Published by Springer

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New book "Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions" by Fawaz Alsolami, Mohammad Azad, Igor Chikalov, and Mikhail Moshkov is published by Springer

Kerven Durdymyradov

Postdoctoral Research Fellow, Computer Science
Honors and Awards Bronze Medal and Honourable Mention- International Mathematical Olympiad (IMO). Netherlands–Kazakhstan (2011, 2010) 1st and 2nd place Winner - Open Doors International Olympiad - Mathematics & AI track. Russia (2022, 2020) Silver and Bronze Medals - Balkan Mathematical Olympiad (BMO). Romania-Moldova (2011, 2010) Silver and Bronze Medals - South Eastern Mathematical Olympiad (SEEMOUS). Romania-Greece (2014, 2013)

Azimkhon Ostonov

Postdoctoral Research Fellow, Computer Science