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Proposal of the Methodology for Identification of Repetitive Sequences in Big Data
Title statement Proposal 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 Language English URL https://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 kind RZB - článok zo zborníka Category AFC - 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-s2.0-85047956722Year 2019 article
Number of the records: 1