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Anomaly detection method for online discussion

  1. TitleAnomaly detection method for online discussion
    Author Krammer Peter 1984- SAVINFO - Ústav informatiky SAV    SCOPUS    RID    ORCID
    Co-authors Habala Ondrej SAVINFO - Ústav informatiky SAV    SCOPUS    RID    ORCID

    Mojžiš Ján 1985- SAVINFO - Ústav informatiky SAV    SCOPUS    RID    ORCID

    Hluchý Ladislav 1952- SAVINFO - Ústav informatiky SAV    SCOPUS    RID    ORCID

    Jurkovič Marek 1990- SAVEXPSY - Ústav experimentálnej psychológie SAV    ORCID

    Source document Procedia Computer Science. Vol. 155 (2019), p. 311-318
    Languageeng - English
    Document kindrozpis článkov z periodík (rbx)
    CitationsCHEN, Mu-Yen - CHANG, Jing-Rong - CHEN, Long-Sheng - SHEN, En-Li. The key successful factors of video and mobile game crowdfunding projects using a lexicon-based feature selection approach. In JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING. ISSN 1868-5137, 2021, vol., no., pp.
    KENYERES, Martin - KENYERES, Jozef. Average Consensus with Perron Matrix for Alleviating Inaccurate Sensor Readings Caused by Gaussian Noise in Wireless Sensor Networks. In Lecture Notes in Networks and Systems. ISSN 23673370, 2021-01-01, 230, pp. 391-405. Dostupné na: https://doi.org/10.1007/978-3-030-77442-4_34.
    EFRIZONI, Lusiana - DEFIT, Sarjon - TAJUDDIN, Muhammad. Hybrid Modeling to Classify and Detect Outliers on Multilabel Dataset based on Content and Context. In International Journal of Advanced Computer Science and Applications, 2022-01-01, 13, 12, pp. 550-559. ISSN 2158107X. Dostupné na: https://doi.org/10.14569/IJACSA.2022.0131267.
    KENYERES, Martin - KENYERES, Jozef. Upper Bounds on Graph Diameter Based on Laplacian Eigenvalues for Stopping Distributed Flooding Algorithm. In Lecture Notes in Networks and Systems, 2023-01-01, 722 LNNS, pp. 697-711. ISSN 23673370. Dostupné na: https://doi.org/10.1007/978-3-031-35311-6_67.
    BASHEER, Muhammad Yunus Iqbal - ALI, Azliza Mohd - OSMAN, Rozianawaty - HAMID, Nurzeatul Hamimah Abdul - NORDIN, Sharifalillah - ARIFFIN, Muhammad Azizi Mohd - MARTÍNEZ, José Antonio Iglesias. Empowering anomaly detection algorithm: a review. In IAES International Journal of Artificial Intelligence, 2024-03-01, 13, 1, pp. 9-22. ISSN 20894872. Dostupné na: https://doi.org/10.11591/ijai.v13.i1.pp9-22.
    BASHEER, Muhammad Yunus Iqbal - ALI, Azliza Mohd - HAMID, Nurzeatul Hamimah Abdul - ARIFFIN, Muhammad Azizi Mohd - OSMAN, Rozianawaty - NORDIN, Sharifalillah - GU, Xiaowei. Autonomous anomaly detection for streaming data. In KNOWLEDGE-BASED SYSTEMS, 2024, vol. 284, no., pp. ISSN 0950-7051. Dostupné na: https://doi.org/10.1016/j.knosys.2023.111235.
    CategoryADMB - Scientific papers in foreign non-impacted journals registered in Web of Sciences or Scopus
    Category of document (from 2022)V3 - Vedecký výstup publikačnej činnosti z časopisu
    Type of documentčlánok
    Year2019
    Registered inWOS
    Registered inSCOPUS
    DOI 10.1016/j.procs.2019.08.045
    article

    article

    File nameAccessSizeDownloadedTypeLicense
    Anomaly detection method for online discussion.pdfavailable787.4 KB2Publisher's version
    rokCCIFIF Q (best)JCR Av Jour IF PercSJRSJR Q (best)CiteScore
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    rok vydaniarok metrikyIFIF Q (best)SJRSJR Q (best)
    201920180.281
Number of the records: 1  

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