An algorithm for in-core frequent itemset mining on streaming data

  title={An algorithm for in-core frequent itemset mining on streaming data},
  author={Ruoming Jin and Gagan Agrawal},
  journal={Fifth IEEE International Conference on Data Mining (ICDM'05)},
  pages={8 pp.-}
Frequent item set mining is a core data mining operation and has been extensively studied over the last decade. This paper takes a new approach for this problem and makes two major contributions. First, we present a one pass algorithm for frequent item set mining, which has deterministic bounds on the accuracy, and does not require any out-of-core summary structure. Second, because our one pass algorithm does not produce any false negatives, it can be easily extended to a two pass accurate… CONTINUE READING
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