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.
|Number of pages||1|
|Journal||SIGMOD Record (ACM Special Interest Group on Management of Data)|
|Publication status||Published - 1996|
|Event||Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data - Montreal, Can|
Duration: 1996 Jun 4 → 1996 Jun 6
ASJC Scopus subject areas
- Information Systems