Parallel and distributed association mining: A survey

Mohammed J. Zaki

Research output: Contribution to journalArticle

313 Citations (Scopus)


Since inception, association rule mining (ARM) has become one of the core data-mining tasks and has attracted tremendous interest among researchers and practitioners. ARM is undirected or unsupervised data mining over variable-length data, and it produces clear, understandable results. It has an elegantly simple problem statement: to find the set of all subsets of items or attributes that frequently occur in many database records or transactions, and additionally, to extract rules on how a subset of items influences the presence of another subset.

Original languageEnglish
Pages (from-to)14-25
Number of pages12
JournalIEEE Concurrency
Issue number4
Publication statusPublished - 1 Dec 1999

ASJC Scopus subject areas

  • Engineering(all)

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