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Proposal of the Methodology for Identification of Repetitive Sequences in Big Data

  1. Title statementProposal of the Methodology for Identification of Repetitive Sequences in Big Data / aut. Martin Németh, German Michaľčonok
    Main entry-name Németh, Martin, 1988- (Author) - MTF Ústav aplikovanej informatiky, automatizácie a mechatroniky
    Another responsib. Michaľčonok, German, 1946- Z1 (Author) - MTF Ústav aplikovanej informatiky, automatizácie a mechatroniky
    In Software Engineering and Algorithms in Intelligent Systems [486 s.] / Silhavy, Radek. -- Cham : Springer, 2019. -- ISBN 978-3-319-91185-4. -- ISSN 2194-5357. -- S. 390-396
    Subj. Headings data mining
    big data
    failure
    LanguageEnglish
    URLhttps://www.scopus.com/record/display.uri?eid=2-s2.0-85047956722&origin=resultslist&sort=plf-f&src=s&st1=Proposal+of+the+Methodology+for+Identification+of+Repetitive+Sequences+in+Big+Data&st2=&sid=0e61bcedd5d9a8535f62999bc847168d&sot=b&sdt=b&sl=87&s=ALL%28Proposal+of+the+Methodology+for+Identification+of+Repetitive+Sequences+in+Big+Data%29&relpos=0&citeCnt=0&searchTerm=
    https://link.springer.com/chapter/10.1007/978-3-319-91186-1_40
    Document kindRZB - článok zo zborníka
    CategoryAFC - Reports at international scientific conferences
    Category (from 2022)V2 - Vedecký výstup publikačnej činnosti ako časť editovanej knihy alebo zborníka
    In databases WOS: 000445094400040
    DOI: 10.1007/978-3-319-91186-1_40
    SCOPUS: 2-s2.0-85047956722
    Year2019
    article

    article

Number of the records: 1  

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