Applications of Depth Minimization of Decision Trees Containing Hypotheses for Multiple-Value Decision Tables [PDF]
Entropy, 2023 In this research, we consider decision trees that incorporate standard queries with one feature per query as well as hypotheses consisting of all features’ values.
Mohammad Azad, Mikhail Moshkov
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On Complexity of Deterministic and Nondeterministic Decision Trees for Conventional Decision Tables from Closed Classes [PDF]
Entropy, 2023 In this paper, we consider classes of conventional decision tables closed relative to the removal of attributes (columns) and changing decisions assigned to rows.
Azimkhon Ostonov, Mikhail Moshkov
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A Variable Precision Attribute Reduction Approach in Multilabel Decision Tables [PDF]
The Scientific World Journal, 2014 Owing to the high dimensionality of multilabel data, feature selection in multilabel learning will be necessary in order to reduce the redundant features and improve the performance of multilabel classification.
Hua Li +4 more
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Comparative Analysis of Deterministic and Nondeterministic Decision Trees for Decision Tables from Closed Classes [PDF]
EntropyIn this paper, we consider classes of decision tables with many-valued decisions closed under operations of the removal of columns, the changing of decisions, the permutation of columns, and the duplication of columns.
Azimkhon Ostonov, Mikhail Moshkov
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SOFTWARE REQUIREMENTS ELABORATION WITH DECISION TABLES [PDF]
Scientific Journal of Silesian University of Technology. Series TransportThe paper describes decision table notation as a requirements definition technique. Modern critical systems, e.g., railway signaling systems, are implemented with electronic technologies.
Michał GRZYBOWSKI +3 more
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Some Problems Related to Reducts of Consistent Incomplete Decision Tables [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2022 In multi-criteria decision making, attribute reduction has attracted the attention of researchers for more than two decades. So far, numerous scientists have proposed algorithms to construct reducts in decision tables.
Dinh Thu Khanh +3 more
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Selected Data Mining Tools for Data Analysis in Distributed Environment
Entropy, 2022 In this paper, we deal with distributed data represented either as a finite set T of decision tables with equal sets of attributes or a finite set I of information systems with equal sets of attributes.
Mikhail Moshkov +2 more
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New Variable Precision Reduction Algorithm for Decision Tables
IEEE Access, 2023 Variable precision reduction (VPR) and positive region reduction (PRR) are common definitions in attribute reduction. The compacted decision table is an extension of a decision table.
Xu Li, Hongping Xiao, Jianguo Tang
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Decision tables and their application in a military organization
Vojnotehnički Glasnik, 1996 The advantages of decision tables and the scope of their possible application are given in the paper as well as the structure, types and procedure of their realization and user profiles.
Marko Andrejić
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Utilisation of Decision Tables for Proposal of Transfer Node Conception
Promet (Zagreb), 2012 The key issue in improving the appeal of public mass transport is the optimal arrangement of transfer nodes. The objective is to propose a comfortable, simple and safe environment for both passengers and operators, and a solution which is economical to ...
Martin Jacura, Lukáš Týfa
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