articleDec 23, 2002Closed access

Maintenance of discovered association rules in large databases: an incremental updating technique

University of Hong Kong · Hong Kong Polytechnic University

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Abstract

An incremental updating technique is developed for maintenance of the association rules discovered by database mining. There have been many studies on efficient discovery of association rules in large databases. However, it is nontrivial to maintain such discovered rules in large databases because a database may allow frequent or occasional updates and such updates may not only invalidate some existing strong association rules but also turn some weak rules into strong ones. An incremental updating technique is proposed for efficient maintenance of discovered association rules when new transaction data are added to a transaction database.

Citation impact

805
total citations
FWCI
127.91
Percentile
100%
References
15
Citations per year

Authors

4

Topics & keywords

Keywords
  • Association rule learning
  • Database transaction
  • Computer science
  • Database
  • Data mining
  • Association (psychology)
  • Transaction processing
  • Database theory
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