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On the Road to Genetic Boolean Matrix Factorization

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    SYSNO ASEP0313059
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleOn the Road to Genetic Boolean Matrix Factorization
    TitleO přístupu ke genetickému Booleovskému maticovému rozkladu
    Author(s) Snášel, V. (CZ)
    Platoš, J. (CZ)
    Krömer, P. (CZ)
    Húsek, Dušan (UIVT-O) RID, SAI, ORCID
    Frolov, A. (RU)
    Source TitleNeural Network World. - : Ústav informatiky AV ČR, v. v. i.. - : Fakulta dopravní ČVUT - ISSN 1210-0552
    Roč. 17, č. 6 (2007), s. 675-688
    Number of pages14 s.
    Languageeng - English
    CountryCZ - Czech Republic
    Keywordsdata mining ; genetic algorithms ; Boolean factorization ; binary data ; machine learning ; feature extraction
    Subject RIVIN - Informatics, Computer Science
    CEZAV0Z10300504 - UIVT-O (2005-2011)
    UT WOS000253142500011
    EID SCOPUS39049086604
    AnnotationMatrix factorization or factor analysis is an important task helpful in the analysis of high dimensional real world data. There are several well known methods and algorithms for factorization of real data but many application areas including information retrieval, pattern recognition and data mining require processing of binary rather than real data. Unfortunately, the methods used for real matrix factorization fail in the latter case. In this paper we introduce background and initial version of Genetic Algorithm for binary matrix factorization.
    WorkplaceInstitute of Computer Science
    ContactTereza Šírová,, Tel.: 266 053 800
    Year of Publishing2009
Number of the records: 1