Fchm-stream: fast closed high utility itemsets mining over data streams

HIGHLIGHTS

  • who: li muhang from the North Minzu University have published the Article: FCHM-Stream: Fast Closed High Utility Itemsets Mining over Data Streams, in the Journal: (JOURNAL)
  • what: Various experiments are carried out to compare the method with state-of-the-art algorithms both in static and stream environments. To solve these problems, the authors propose the FCHMStream algorithm using the sliding window model, which uses the resultset maintenance strategy based on the skiplist structure to quickly and efficiently search closed high utility itemsets over data streams. The contributions of this paper are as follows . . .

     

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