Distributed Scalable Association Rule Mining over Covid-19 Data

Mahtab Shahin*, Wissem Inoubli, Syed Attique Shah, Sadok Ben Yahia, Dirk Draheim

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Citations (Scopus)
    Original languageEnglish
    Title of host publicationFuture Data and Security Engineering - 8th International Conference, FDSE 2021, Proceedings
    EditorsTran Khanh Dang, Josef Küng, Tai M. Chung, Makoto Takizawa
    PublisherSpringer Science and Business Media Deutschland GmbH
    Pages39-52
    Number of pages14
    ISBN (Print)9783030913861
    DOIs
    Publication statusPublished (VoR) - 2021
    Event8th International Conference on Future Data and Security Engineering , FDSE 2021 - Virtual, Online
    Duration: 24 Nov 202126 Nov 2021

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume13076 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference8th International Conference on Future Data and Security Engineering , FDSE 2021
    CityVirtual, Online
    Period24/11/2126/11/21

    Keywords

    • Apriori
    • Association rule mining
    • Big data
    • FP-growth
    • Machine learning
    • Spark

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