Probabilistic frequent itemset mining over uncertain data streams

作者：

Highlights：

• We discover the probabilistic frequent itemsets over uncertain data streams.

• Two algorithm PFIMoS and PFIMoS+ were proposed to efficiently discover the results.

• Our methods can achieve substantial speedups over the state-of-the-art algorithms.

摘要

•We discover the probabilistic frequent itemsets over uncertain data streams.•Two algorithm PFIMoS and PFIMoS+ were proposed to efficiently discover the results.•Our methods can achieve substantial speedups over the state-of-the-art algorithms.

论文关键词：Probabilistic frequent itemset,Uncertain data stream,Uncertain database,Data stream mining

论文评审过程：Received 23 January 2018, Revised 17 June 2018, Accepted 18 June 2018, Available online 19 June 2018, Version of Record 30 June 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.06.042