Mikhail Ju. Moshkov

发表

Algorithms for Constructing of Decision Trees

Mikhail Ju. Moshkov, 1997, PKDD.

Comparative Analysis of Deterministic and Nondeterministic Decision Tree Complexity Local Approach

Mikhail Ju. Moshkov, M. Moshkov, 1996, Trans. Rough Sets.

Dynamic programming approach to optimization of approximate decision rules

Igor Chikalov, Mikhail Ju. Moshkov, Talha Amin, 2013, Inf. Sci..

On Decision Trees for (1, 2)-Bayesian Networks

Mikhail Ju. Moshkov, 2002, Fundam. Informaticae.

On Partial Covers, Reducts and Decision Rules with Weights

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2007, Trans. Rough Sets.

Deciding WQO for Factorial Languages

Vadim V. Lozin, Mikhail Ju. Moshkov, Aistis Atminas, 2013, LATA.

Graphical Representation of Information on the Set of Reducts

Mikhail Ju. Moshkov, Marcin Piliszczuk, 2007, RSKT.

On Algorithm for Constructing of Decision Trees with Minimal Depth

Igor Chikalov, Mikhail Ju. Moshkov, 2000, Fundam. Informaticae.

An algorithm for reduct cardinality minimization

Igor Chikalov, Mikhail Ju. Moshkov, Hassan AbouEisha, 2013, 2013 IEEE International Conference on Granular Computing (GrC).

About the Depth of Decision Trees Computing Boolean Functions

Mikhail Ju. Moshkov, M. Moshkov, 1995, Fundam. Informaticae.

Dynamic Programming Approach for Study of Decision Trees

Mikhail Ju. Moshkov, 2015, CS&P.

Minimization of Decision Tree Average Depth for Decision Tables with Many-valued Decisions

Mohammad Azad, Mikhail Ju. Moshkov, 2014, KES.

Dynamic Programming Approach for Partial Decision Rule Optimization

Igor Chikalov, Mikhail Ju. Moshkov, Talha Amin, 2012, Fundam. Informaticae.

Optimization of Decision Rule Complexity for Decision Tables with Many-Valued Decisions

Mohammad Azad, Igor Chikalov, Mikhail Ju. Moshkov, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Experimental Study of Totally Optimal Decision Rules

Mohammad Azad, Mikhail Ju. Moshkov, 2019, ICAISC.

Diagnosis of three types of constant faults in read-once contact networks over finite bases

Mikhail Ju. Moshkov, Monther Busbait, M. Moshkov, 2016, Theor. Comput. Sci..

Approximate Algorithm for Minimization of Decision Tree Depth

Mikhail Ju. Moshkov, 2003, RSFDGrC.

Online Learning Algorithm for Ensemble of Decision Rules

Igor Chikalov, Mikhail Ju. Moshkov, Beata Zielosko, 2011, RSFDGrC.

Multi-stage Optimization of Matchings in Trees with Application to Kidney Exchange

Mikhail Ju. Moshkov, Michal Mankowski, 2017, IJCRS.

Compressible Infinite Information Systems

Mikhail Ju. Moshkov, 2003, Fundam. Informaticae.

Comparison of Greedy Algorithms for Decision Tree Construction

Igor Chikalov, Mikhail Ju. Moshkov, Abdulaziz Alkhalid, 2011, KDIR.

Greedy Algorithm for Decision Tree Construction in Context of Knowledge Discovery Problems

Mikhail Ju. Moshkov, 2004, Rough Sets and Current Trends in Computing.

Greedy Algorithms with Weights for Construction of Partial Association Rules

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2009, Fundam. Informaticae.

Experimental Study of Totally Optimal Decision Trees

Mohammad Azad, Mikhail Ju. Moshkov, Abdulla Aldilaijan, 2019, Fundam. Informaticae.

Universal Attribute Reduction Problem

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2007, RSEISP.

On Minimal Inhibitory Rules for Almost All k-Valued Information Systems

Andrzej Skowron, Zbigniew Suraj, Mikhail Ju. Moshkov, 2009, Fundam. Informaticae.

Minimization of decision tree depth for multi-label decision tables

Mohammad Azad, Mikhail Ju. Moshkov, 2014, 2014 IEEE International Conference on Granular Computing (GrC).

Upper Bounds on Minimum Cardinality of Exact and Approximate Reducts

Igor Chikalov, Mikhail Ju. Moshkov, Beata Zielosko, 2010, RSCTC.

Deterministic and Nondeterministic Decision Trees for Rough Computing

Mikhail Ju. Moshkov, M. Moshkov, 2000, Fundam. Informaticae.

Greedy Algorithm for the Construction of Approximate Decision Rules for Decision Tables with Many-Valued Decisions

Mohammad Azad, Mikhail Ju. Moshkov, Beata Zielosko, 2016, Trans. Rough Sets.

Greedy Algorithm of Decision Tree Construction for Real Data Tables

Mikhail Ju. Moshkov, 2004, Trans. Rough Sets.

Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions

Fawaz Alsolami, Mohammad Azad, Igor Chikalov, 2019, Intelligent Systems Reference Library.

Average Depth and Number of Misclassifications for Decision Trees

Igor Chikalov, Mikhail Ju. Moshkov, Shahid Hussain, 2012, CS&P.

Irreducible Descriptive Sets of Attributes for Information Systems

Andrzej Skowron, Zbigniew Suraj, Mikhail Ju. Moshkov, 2010, Trans. Rough Sets.

Totally optimal decision rules

Mikhail Ju. Moshkov, Talha Amin, M. Moshkov, 2018, Discret. Appl. Math..

On Algorithm for Building of Optimal alpha-Decision Trees

Igor Chikalov, Mikhail Ju. Moshkov, Abdulaziz Alkhalid, 2010, RSCTC.

On Optimization of Decision Trees

Igor Chikalov, Mikhail Ju. Moshkov, Maria S. Zelentsova, 2005, Trans. Rough Sets.

Sequential Optimization of Matrix Chain Multiplication Relative to Different Cost Functions

Igor Chikalov, Mikhail Ju. Moshkov, Shahid Hussain, 2011, SOFSEM.

On the class of restricted linear information systems

Mikhail Ju. Moshkov, 2007, Discret. Math..

Inhibitory Rules in Data Analysis: A Rough Set Approach

Andrzej Skowron, Zbigniew Suraj, Mikhail Ju. Moshkov, 2009, Studies in Computational Intelligence.

Quasi-Optimal Elimination Trees for 2D Grids with Singularities

Victor M. Calo, Keshav Pingali, Mikhail Ju. Moshkov, 2015, Sci. Program..

Restricted Linear Information Systems

Mikhail Ju. Moshkov, 2005, Intelligent Information Systems.

On Construction of Partial Reducts and Irreducible Partial Decision Rules

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2007, Fundam. Informaticae.

Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining

Igor Chikalov, Mikhail Ju. Moshkov, Shahid Hussain, 2018, Intelligent Systems Reference Library.

‘Misclassification Error' Greedy Heuristic to Construct Decision Trees for Inconsistent Decision Tables

Mohammad Azad, Mikhail Ju. Moshkov, 2014, KDIR.

On Partial Covers, Reducts and Decision Rules

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2008, Trans. Rough Sets.

On algorithms for construction of all irreducible partial covers

Mikhail Ju. Moshkov, 2007, Inf. Process. Lett..

On Minimal Rule Sets for Almost All Binary Information Systems

Andrzej Skowron, Zbigniew Suraj, Mikhail Ju. Moshkov, 2007, Fundam. Informaticae.

Minimizing size of decision trees for multi-label decision tables

Mohammad Azad, Mikhail Ju. Moshkov, 2014, 2014 Federated Conference on Computer Science and Information Systems.

Greedy Algorithm with Weights for Decision Tree Construction

Mikhail Ju. Moshkov, M. Moshkov, 2010, Fundam. Informaticae.

Comparison of Lazy Classification Algorithms Based on Deterministic and Inhibitory Decision Rules

Andrzej Skowron, Zbigniew Suraj, Mikhail Ju. Moshkov, 2008, RSKT.

Universal Problem of Attribute Reduction

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2008, Trans. Rough Sets.

Unimprovable Upper Bounds on Time Complexity of Decision Trees

Mikhail Ju. Moshkov, M. Moshkov, 1997, Fundam. Informaticae.

Relationships between Depth and Number of Misclassifications for Decision Trees

Igor Chikalov, Mikhail Ju. Moshkov, Shahid Hussain, 2011, RSFDGrC.

Comparison of Heuristics for Inhibitory Rule Optimization

Fawaz Alsolami, Igor Chikalov, Mikhail Ju. Moshkov, 2014, KES.

Towards Green Multi-frontal Solver for Adaptive Finite Element Method

Jacek Kitowski, Mikhail Ju. Moshkov, Pawel Gepner, 2015, ICCS.

Bi-criteria optimization problems for decision rules

Fawaz Alsolami, Igor Chikalov, Mikhail Ju. Moshkov, 2018, Ann. Oper. Res..

Classification of Infinite Information Systems Depending on Complexity of Decision Trees and Decision Rule Systems

Mikhail Ju. Moshkov, M. Moshkov, 2002, Fundam. Informaticae.

Totally optimal decision trees for Boolean functions

Igor Chikalov, Mikhail Ju. Moshkov, Shahid Hussain, 2016, Discret. Appl. Math..

Partial Covers, Reducts and Decision Rules in Rough Sets - Theory and Applications

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2009, Studies in Computational Intelligence.

Sequential Optimization of Binary Search Trees for Multiple Cost Functions

Igor Chikalov, Mikhail Ju. Moshkov, Shahid Hussain, 2011, CATS.

Greedy Algorithms for Construction of Approximate Tests for Decision Tables with Many-Valued Decisions

Mohammad Azad, Igor Chikalov, Mikhail Ju. Moshkov, 2012, Fundam. Informaticae.

Dynamic Programming Algorithm for Generation of Optimal Elimination Trees for Multi-frontal Direct Solver Over H-refined Grids

Victor M. Calo, Mikhail Ju. Moshkov, Hassan AbouEisha, 2014, ICCS.

Optimization of Approximate Decision Rules Relative to Number of Misclassifications: Comparison of Greedy and Dynamic Programming Approaches

Igor Chikalov, Mikhail Ju. Moshkov, Talha Amin, 2012, KES.

On Importance of Rows for Decision Tables

Mohammad Azad, Mikhail Ju. Moshkov, Hassan AbouEisha, 2017, IJCRS.

On Cardinality of Reducts for the Most Part of Binary Decision Tables

Mikhail Ju. Moshkov, 2005, IICAI.

Optimization and analysis of decision trees and rules: dynamic programming approach

Igor Chikalov, Mikhail Ju. Moshkov, Shahid Hussain, 2013, Int. J. Gen. Syst..

Bi-criteria optimization of decision trees with applications to data analysis

Igor Chikalov, Mikhail Ju. Moshkov, Shahid Hussain, 2018, Eur. J. Oper. Res..

Dynamic Programming Approach for Exact Decision Rule Optimization

Igor Chikalov, Mikhail Ju. Moshkov, Talha Amin, 2013, Rough Sets and Intelligent Systems.

Greedy Algorithm for Set Cover in Context of Knowledge Discovery Problems

Mikhail Ju. Moshkov, M. Moshkov, 2003, RSKD.

Two Approaches to Investigation of Deterministic and Nondeterministic Decision Trees Complexity

Mikhail Ju. Moshkov, 1995, WOCFAI.

Hybrid Direct and Iterative Solver with Library of Multi-criteria Optimal Orderings for h Adaptive Finite Element Method Computations

Keshav Pingali, Mikhail Ju. Moshkov, Hassan AbouEisha, 2016, ICCS.

On Irreducible Descriptive Sets of Attributes for Information Systems

Andrzej Skowron, Zbigniew Suraj, Mikhail Ju. Moshkov, 2008, RSCTC.

Optimization of Approximate Inhibitory Rules Relative to Number of Misclassifications

Fawaz Alsolami, Igor Chikalov, Mikhail Ju. Moshkov, 2013, KES.

Classifiers Based on Optimal Decision Rules

Igor Chikalov, Mikhail Ju. Moshkov, Talha Amin, 2013, Fundam. Informaticae.

Comparative Analysis of Deterministic and Nondeterministic Decision Tree Complexity

Mikhail Ju. Moshkov, M. Moshkov, 1996, Fundam. Informaticae.

Combinatorial Machine Learning - A Rough Set Approach

Mikhail Ju. Moshkov, Beata Zielosko, M. Moshkov, 2011, Studies in Computational Intelligence.

Element Partition Trees For H-Refined Meshes to Optimize Direct Solver Performance. Part I: Dynamic Programming

Victor M. Calo, Mikhail Ju. Moshkov, Hassan AbouEisha, 2017, Int. J. Appl. Math. Comput. Sci..

Complexity of Deterministic and Nondeterministic Decision Trees for Regular Language Word Recognition

Mikhail Ju. Moshkov, 1997, Developments in Language Theory.

Relationships for Cost and Uncertainty of Decision Trees

Igor Chikalov, Mikhail Ju. Moshkov, Shahid Hussain, 2013, Rough Sets and Intelligent Systems.

Optimization of Approximate Decision Rules Relative to Number of Misclassifications

Igor Chikalov, Mikhail Ju. Moshkov, Talha Amin, 2012, KES.

Totally Optimal Decision Trees for Monotone Boolean Functions with at Most Five Variables

Igor Chikalov, Mikhail Ju. Moshkov, Shahid Hussain, 2013, KES.

Classification and optimization of decision trees for inconsistent decision tables represented as MVD tables

Mohammad Azad, Mikhail Ju. Moshkov, 2015, 2015 Federated Conference on Computer Science and Information Systems (FedCSIS).

On the Programs with Finite Development

Mikhail Ju. Moshkov, 1987, FCT.

Multi-pruning of decision trees for knowledge representation and classification

Mohammad Azad, Igor Chikalov, Mikhail Ju. Moshkov, 2015, 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR).

On Cost and Uncertainty of Decision Trees

Igor Chikalov, Mikhail Ju. Moshkov, Shahid Hussain, 2012, RSCTC.

Three Approaches to Deal with Inconsistent Decision Tables - Comparison of Decision Tree Complexity

Mohammad Azad, Igor Chikalov, Mikhail Ju. Moshkov, 2013, RSFDGrC.

Learning Probabilistic Models of Hydrogen Bond Stability from Molecular Dynamics Simulation Trajectories

Jean-Claude Latombe, Igor Chikalov, Mikhail Ju. Moshkov, 2011, J. Intell. Learn. Syst. Appl..

Classification for Inconsistent Decision Tables

Mohammad Azad, Mikhail Ju. Moshkov, 2016, IJCRS.

Lower Bounds on Minimal Weight of Partial Reducts and Partial Decision Rules

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2006, RSKT.

Constructing an Optimal Decision Tree for FAST Corner Point Detection

Igor Chikalov, Mikhail Ju. Moshkov, Abdulaziz Alkhalid, 2011, RSKT.

Some Relationships between Decision Trees and Decision Rule Systems

Mikhail Ju. Moshkov, M. Moshkov, 1998, Rough Sets and Current Trends in Computing.

Sequential Optimization of Approximate Inhibitory Rules Relative to the Length, Coverage and Number of Misclassifications

Fawaz Alsolami, Igor Chikalov, Mikhail Ju. Moshkov, 2013, RSKT.

An Automatic Way of Finding Robust Elimination Trees for a Multi-frontal Sparse Solver for Radical 2D Hierarchical Meshes

Mikhail Ju. Moshkov, Hassan AbouEisha, Anna Paszynska, 2013, PPAM.

Optimization of Inhibitory Decision Rules Relative to Length and Coverage

Fawaz Alsolami, Igor Chikalov, Mikhail Ju. Moshkov, 2012, RSKT.

Decision Trees for Decision Tables

Mikhail Ju. Moshkov, 1993, RSKD.

Learning probabilistic models of hydrogen bond stability from molecular dynamics simulation trajectories

Jean-Claude Latombe, Igor Chikalov, Mikhail Ju. Moshkov, 2011, BMC Bioinformatics.

Optimization Problems for Decision Trees

Mikhail Ju. Moshkov, 1994, Fundam. Informaticae.

Relationships Between Length and Coverage of Decision Rules

Igor Chikalov, Mikhail Ju. Moshkov, Talha Amin, 2014, Fundam. Informaticae.

Decision trees with minimum average depth for sorting eight elements

Igor Chikalov, Mikhail Ju. Moshkov, Hassan AbouEisha, 2016, Discret. Appl. Math..

Two Families of Classification Algorithms

Andrzej Skowron, Zbigniew Suraj, Mikhail Ju. Moshkov, 2007, RSFDGrC.

On Construction of Partial Association Rules

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2009, RSKT.

Decision Trees and Reducts for Distributed Decision Tables

Mikhail Ju. Moshkov, 2004, MSRAS.

Greedy Algorithm for Construction of Partial Association Rules

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2009, Fundam. Informaticae.

On Testing Membership to Maximal Consistent Extensions of Information Systems

Andrzej Skowron, Zbigniew Suraj, Mikhail Ju. Moshkov, 2006, RSCTC.

Diagnosis of constant faults in iteration-free circuits over monotone basis

Igor Chikalov, Mikhail Ju. Moshkov, Shahid Hussain, 2014, Discret. Appl. Math..

On Covering Attribute Sets by Reducts

Andrzej Skowron, Zbigniew Suraj, Mikhail Ju. Moshkov, 2007, RSEISP.

Dynamic Programming Approach for Construction of Association Rule Systems

Fawaz Alsolami, Igor Chikalov, Mikhail Ju. Moshkov, 2015, CS&P.

Relationships between Number of Nodes and Number of Misclassifications for Decision Trees

Igor Chikalov, Mikhail Ju. Moshkov, Shahid Hussain, 2012, RSCTC.

On Compressible Information Systems

Mikhail Ju. Moshkov, 2002, Rough Sets and Current Trends in Computing.

Greedy Algorithm for Construction of Decision Trees for Tables with Many-Valued Decisions

Mohammad Azad, Igor Chikalov, Mikhail Ju. Moshkov, 2011, CS&P.

Representation of Knowledge by Decision Trees for Decision Tables with Multiple Decisions

Mohammad Azad, Igor Chikalov, Mikhail Ju. Moshkov, 2020, KES.

Relationships Between Length and Coverage of Exact Decision Rules

Igor Chikalov, Mikhail Ju. Moshkov, Talha Amin, 2012, CS&P.

Some Bounds on Minimal Decision Tree Depth

Mikhail Ju. Moshkov, 1996, Fundam. Informaticae.

Diagnosis of constant faults in read-once contact networks over finite bases

Igor Chikalov, Mikhail Ju. Moshkov, Shahid Hussain, 2014, Discret. Appl. Math..

Three Approaches to Data Analysis - Test Theory, Rough Sets and Logical Analysis of Data

Andrzej Skowron, Vadim V. Lozin, Igor Chikalov, 2012, Intelligent Systems Reference Library.

Bisections-Weighted-by-Element-Size-and-Order Algorithm to Optimize Direct Solver Performance on 3D hp-adaptive Grids

Victor M. Calo, Mikhail Ju. Moshkov, Hassan AbouEisha, 2018, ICCS.

On Greedy Algorithms with Weights for Construction of Partial Covers

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2006, Intelligent Information Systems.

Comparison of Greedy Algorithms for Decision Tree Optimization

Igor Chikalov, Mikhail Ju. Moshkov, Abdulaziz Alkhalid, 2013, Rough Sets and Intelligent Systems.

Decision Trees for Knowledge Representation (short paper)

Mohammad Azad, Igor Chikalov, Mikhail Ju. Moshkov, 2019, CS&P.

Tests for decision tables with many-valued decisions — Comparative study

Mohammad Azad, Igor Chikalov, Mikhail Ju. Moshkov, 2012, 2012 Federated Conference on Computer Science and Information Systems (FedCSIS).

Three Approaches to Deal with Tests for Inconsistent Decision Tables - Comparative Study

Mohammad Azad, Igor Chikalov, Mikhail Ju. Moshkov, 2015, Trans. Rough Sets.

Extracting Relevant Information about Reduct Sets from Data Tables

Andrzej Skowron, Zbigniew Suraj, Mikhail Ju. Moshkov, 2008, Trans. Rough Sets.

Consecutive Optimization of Decision Trees Concerning Various Complexity Measures

Igor Chikalov, Mikhail Ju. Moshkov, 2004, Fundam. Informaticae.

Decision Trees for Regular Language Word Recognition

Mikhail Ju. Moshkov, 2000, Fundam. Informaticae.

Length and Coverage of Inhibitory Decision Rules

Fawaz Alsolami, Igor Chikalov, Mikhail Ju. Moshkov, 2012, ICCCI.

A Tool for Study of Optimal Decision Trees

Igor Chikalov, Mikhail Ju. Moshkov, Abdulaziz Alkhalid, 2010, RSKT.

On Construction of the Set of Irreducible Partial Covers

Mikhail Ju. Moshkov, 2005, SAGA.

Bounds on Average Weighted Depth of Decision Trees

Igor Chikalov, Mikhail Ju. Moshkov, I. Chikalov, 1997, Fundam. Informaticae.

Decision Rule Classifiers for Multi-label Decision Tables

Fawaz Alsolami, Mohammad Azad, Igor Chikalov, 2014, RSEISP.

Comparison of Some Classification Algorithms Based on Deterministic and Nondeterministic Decision Rules

Andrzej Skowron, Zbigniew Suraj, Mikhail Ju. Moshkov, 2010, Trans. Rough Sets.

On Construction of Partial Association Rules with Weights

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2009, ICMMI.

Maximal consistent extensions of information systems relative to their theories

Andrzej Skowron, Zbigniew Suraj, Mikhail Ju. Moshkov, 2008, Inf. Sci..

Optimization of Decision Rules Based on Dynamic Programming Approach

Igor Chikalov, Mikhail Ju. Moshkov, Talha Amin, 2014, Innovations in Intelligent Machines.

On Partial Tests and Partial Reducts for Decision Tables

Mikhail Ju. Moshkov, Marcin Piliszczuk, M. Moshkov, 2005, RSFDGrC.

Decision trees based on 1-consequences

Mikhail Ju. Moshkov, 2021, Discret. Appl. Math..

Minimizing Depth of Decision Trees with Hypotheses

Mohammad Azad, Igor Chikalov, Mikhail Ju. Moshkov, 2021, IJCRS.

Sorting by Decision Trees with Hypotheses (extended abstract)

Mohammad Azad, Igor Chikalov, Mikhail Ju. Moshkov, 2021, CS&P.

Dynamic Programming Multi-Objective Combinatorial Optimization

Mikhail Ju. Moshkov, Michal Mankowski, 2021 .

Entropy-Based Greedy Algorithm for Decision Trees Using Hypotheses

Mohammad Azad, Igor Chikalov, Mikhail Ju. Moshkov, 2021, Entropy.

Critical Properties and Complexity Measures of Read-Once Boolean Functions

Vadim V. Lozin, Mikhail Ju. Moshkov, V. Lozin, 2021, Annals of Mathematics and Artificial Intelligence.

Decision Rules Derived from Optimal Decision Trees with Hypotheses

Mohammad Azad, Igor Chikalov, Mikhail Ju. Moshkov, 2021, Entropy.

Minimizing Number of Nodes in Decision Trees with Hypotheses

Mohammad Azad, Igor Chikalov, Mikhail Ju. Moshkov, 2021, KES.