Greedy algorithms for construction of approximate tests for decision tables with many-valued decisions
dc.contributor.author | Azad, Mohammad | |
dc.contributor.author | Chikalov, Igor | |
dc.contributor.author | Moshkov, Mikhail | |
dc.contributor.author | Zielosko, Beata | |
dc.date.accessioned | 2015-08-04T07:10:38Z | |
dc.date.available | 2015-08-04T07:10:38Z | |
dc.date.issued | 2012-12-14 | |
dc.identifier.issn | 01692968 | |
dc.identifier.doi | 10.3233/FI-2012-759 | |
dc.identifier.uri | http://hdl.handle.net/10754/564642 | |
dc.description.abstract | The paper is devoted to the study of a greedy algorithm for construction of approximate tests (super-reducts) This algorithm is applicable to decision tables with many-valued decisions where each row is labeled with a set of decisions For a given row, we should find a decision from the set attached to this row We consider bounds on the precision of this algorithm relative to the cardinality of tests. | |
dc.publisher | IOS Press | |
dc.subject | Decision table with many-valued decisions | |
dc.subject | greedy algorithm | |
dc.subject | reduct | |
dc.subject | set cover Problem | |
dc.subject | test | |
dc.title | Greedy algorithms for construction of approximate tests for decision tables with many-valued decisions | |
dc.type | Article | |
dc.contributor.department | Applied Mathematics and Computational Science Program | |
dc.contributor.department | Computer Science Program | |
dc.contributor.department | Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division | |
dc.contributor.department | Extensions of Dynamic Programming, Machine Learning and Discrete Optimization Research Group | |
dc.identifier.journal | Fundamenta Informaticae | |
kaust.person | Azad, Mohammad | |
kaust.person | Chikalov, Igor | |
kaust.person | Moshkov, Mikhail | |
kaust.person | Zielosko, Beata |
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Applied Mathematics and Computational Science Program
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Computer Science Program
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Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
For more information visit: https://cemse.kaust.edu.sa/