SONAR: System for Optimized Numeric Association Rules

Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)

Abstract

A system called System for Optimized Numeric Association Rules (SONAR) for mining optimized association rules from databases with numeric data as well as Boolean data is introduced. SONAR focuses on computing an optimized support (confidence) range that maximizes the support on the condition that the confidence ratio is at or above a given threshold. SONAR also generates a two-dimensional version of association rules.

Original languageEnglish
Pages (from-to)553
Number of pages1
JournalSIGMOD Record (ACM Special Interest Group on Management of Data)
Volume25
Issue number2
DOIs
Publication statusPublished - 1996
EventProceedings of the 1996 ACM SIGMOD International Conference on Management of Data - Montreal, Can
Duration: 1996 Jun 41996 Jun 6

ASJC Scopus subject areas

  • Software
  • Information Systems

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