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  1. TitleSolving mean-shift clustering using mapreduce hadoop
    Author infoMaksat N. Kalimoldayev ... [et al.]
    Author Kalimoldayev Maksat N. (35%)
    Co-authors Siládi Vladimír 1970- (5%) UMBFP05 - Katedra informatiky
    Satymbekov Maxatbek (30%)
    Naizabayeva Lyazat (30%)
    Source document Informatics 2017 : proceedings, 2017 IEEE 14th international scientific conference on informatics, November 14-16, 2017, Poprad. Pp. 164-167. - New York : Institute of Electrical and Electronic Engineers, 2017 ; Informatics 2017 medzinárodná vedecká konferencia
    Keywords Hadoop   MapReduce   mean-shift  
    LanguageEnglish
    CountryUnited States of America
    systematics 51
    Public work category AFD
    No. of Archival Copy40803
    Repercussion category GUIZANI, Sghaier. Massive data mining, cyber security approach. In 14th international wireless communications and mobile computing conference, IWCMC 2018, Limassol, 25th - 29th June 2018. New Jersey : Institute of electrical and electronics engineers, 2018. ISBN 978-153862070-0, pp. 1368-1372.
    GAYKAR, Reshma S. - KHANAA, Velu - JOSHI, Shashank D. Faulty node detection in HDFS using machine learning techniques. In Revue d'Intelligence artificielle. ISSN 0992-499X, 2022, vol. 36, no. 4, pp. 553-560.
    POSPICHAL, Jiri - DIRGOVÁ LUPTÁKOVÁ, Iveta. Comparison of K-means-based network partition algorithms with different initial centers seeding. In Cybernetics perspectives in systems, vol. 3 : 11th computer science on-line conference : CSOC 2022, virtual, 26th April 2022. Cham : Springer Nature Switzerland, 2022. ISBN 978-3-031-09073-8, pp. 337-346.
    DESHAI, N. - SEKHAR, B.V.D.S. - PRASAD REDDY, P.V.G.D. - CHAKRAVARTHY, V.V.S.S.S. Processing real world datasets using big data hadoop tools. In Journal of scientific and industrial research. ISSN 0022-4456, 2020, vol. 79, no. 7, pp. 631-635.
    Catal.org.BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici
    Databasexpca - PUBLIKAČNÁ ČINNOSŤ
    unrecognised

    unrecognised

  2. TitleProgramovacia paradigma MapReduce pre prácu s Big Data
    Par.titleMapReduce programming paradigm for working with Big Data
    Author infoMartin Trnik, Jarmila Škrinárová; rec. Peter Trhan, Jana Jacková ... [et al.]
    Author Trnik Martin (50%)
    Co-authors Škrinárová Jarmila 1962- (50%) UMBFP07 - Katedra techniky a technológií
    Another authors Trhan Peter 1975- (Recenzent)
    Jacková Jana 1963- (Recenzent)
    Melicherčík Miroslav 1984- (Recenzent)
    Vagač Michal 1977- (Recenzent)
    Source document Prírodovedec 2015 : zborník príspevkov zo ŠVK 2015 konanej v Banskej Bystrici 23. apríla 2015. CD-ROM, s. 51-59. - Banská Bystrica : Univerzita Mateja Bela, Fakulta prírodných vied, 2015 / Račáková Slavka 1978- ; Spišiak Ján 1953- ; Prírodovedec 2015 študentská vedecká konferencia
    Keywords virtuálna realita - virtual reality   programovacia paradigma   masívne údaje   veľké dáta - big data   MapReduce  
    LanguageSlovak
    CountrySlovak Republic
    systematics 004
    Public work category AFD
    No. of Archival Copy33877
    Catal.org.BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici
    Databasexpca - PUBLIKAČNÁ ČINNOSŤ
    unrecognised

    unrecognised



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