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Association Rules over Interval Data

Summary: Interval data (ordered with meaningful gaps) breaks support/confidence as rule-adequacy; introduces a new interest definition that respects interval semantics. Presents an algorithm to mine rules under the new metric and demonstrates scalability on large real-world datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2968
Venue
SIGMOD
Year
1997
Pagerank
6.7263391e-05
Overall Rank
3,822 | 73.42%
DOI
-

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