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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
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