Cc-ifim: an efficient approach for incremental frequent itemset mining based on closed candidates

HIGHLIGHTS

  • who: Maged Magdy from the (UNIVERSITY) have published the research work: CC-IFIM: an efficient approach for incremental frequent itemset mining based on closed candidates, in the Journal: (JOURNAL)
  • what: The aim of this paper is to address the issues raised in the FPMSIM . The authors compare CC-IFIM with FPMSIM . In which, the approach frequent pattern tree and multi-scale incremental frequent itemset, FPMSIM, is used.
  • how: In this paper the Closed Candidates-based Itemset Mining approach or CC-IFIM has been proposed to decrease candidate generation and improve the accuracy of . . .

     

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