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    Greedy algorithms for construction of approximate tests for decision tables with many-valued decisions

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    Type
    Article
    Authors
    Azad, Mohammad cc
    Chikalov, Igor
    Moshkov, Mikhail cc
    Zielosko, Beata
    KAUST Department
    Applied Mathematics and Computational Science Program
    Computer Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Extensions of Dynamic Programming, Machine Learning and Discrete Optimization Research Group
    Date
    2012-12-14
    Permanent link to this record
    http://hdl.handle.net/10754/564642
    
    Metadata
    Show full item record
    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.
    Publisher
    IOS Press
    Journal
    Fundamenta Informaticae
    DOI
    10.3233/FI-2012-759
    ae974a485f413a2113503eed53cd6c53
    10.3233/FI-2012-759
    Scopus Count
    Collections
    Articles; Applied Mathematics and Computational Science Program; Computer Science Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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