Analyzing Deviations from Monotonic Trends through Database Repair
Summary: Introduces Aggregate Order Dependencies (AODs), an aggregation-centric extension of order dependencies for measuring violations of expected monotonic trends in data. Casts AOD repair as minimum tuple deletion, gives complexity + generic/optimized algorithms and heuristics, and uses them to explain real trend deviations. (summarized by gpt-5.4-mini on Apr 11 2026)
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Authors
- 1. Shunit Agmon
- 2. Jonathan Gal
- 3. Amir Gilad
- 4. Ester Livshits
- 5. Or Mutay
- 6. Brit Youngmann
- 7. Benny Kimelfeld
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