PARMA: a parallel randomized algorithm for approximate association rules mining in MapReduce

    CIKM, pp. 85-94, 2012.

    Cited by: 117|Bibtex|Views24|Links
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    Keywords:
    random samplecommunication costapproximate association rules miningparma cutfim algorithmMore(9+)

    Abstract:

    Frequent Itemsets and Association Rules Mining (FIM) is a key task in knowledge discovery from data. As the dataset grows, the cost of solving this task is dominated by the component that depends on the number of transactions in the dataset. We address this issue by proposing PARMA, a parallel algorithm for the MapReduce framework, which ...More

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