An efficient vertical-Apriori Mapreduce algorithm for frequent item-set mining

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    4 Citations (Scopus)
    Original languageEnglish
    Title of host publicationProceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications (ICIEA 2015)
    EditorsZhengguo Li, Liqiong Tang, Keliang Zhou
    Place of PublicationPiscataway NJ USA
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages108 - 112
    Number of pages5
    ISBN (Print)9781479984671
    DOIs
    Publication statusPublished - 2015
    EventIEEE Conference on Industrial Electronics and Applications 2015 - Auckland, New Zealand
    Duration: 15 Jun 201517 Jun 2015
    Conference number: 10th
    http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001289 (Proceedings)

    Conference

    ConferenceIEEE Conference on Industrial Electronics and Applications 2015
    Abbreviated titleICIEA
    CountryNew Zealand
    CityAuckland
    Period15/06/1517/06/15
    OtherConference Pub Title (from RM records)= 2015 10th IEEE Conference on Industrial Electronics and Applications (ICIEA 2015)
    Internet address

    Cite this

    Sun, D., Lee, V. C-S., Burstein, F., & Delir Haghighi, P. (2015). An efficient vertical-Apriori Mapreduce algorithm for frequent item-set mining. In Z. Li, L. Tang, & K. Zhou (Eds.), Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications (ICIEA 2015) (pp. 108 - 112). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICIEA.2015.7334093