On Detecting Cherry-picked Generalizations
Summary: Framework for detecting and explaining cherry-picked generalizations by refining aggregate queries. Scoring metric for generalization quality, efficient score computation, and explanation tasks to reveal counterexamples and alternatives. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Yin Lin (University of Michigan)
- 2. Brit Youngmann (Tel Aviv University)
- 3. Yuval Moskovitch (University of Michigan)
- 4. H. V. Jagadish (University of Michigan)
- 5. Tova Milo (Tel Aviv University)
BibTeX Citation
@article{lin_vldb22,
title = {{On Detecting Cherry-picked Generalizations}},
author = {Lin, Yin and Youngmann, Brit and Moskovitch, Yuval and Jagadish, H. V. and Milo, Tova},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {1},
pages = {59--71},
doi = {10.14778/3485450.3485457},
url = {https://doi.org/10.14778/3485450.3485457},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,932 | Summarized Causal Explanations For Aggregate Views | 2024 | SIGMOD | 5.7362362e-05 |
| 9,773 | Fair and Actionable Causal Prescription Ruleset | 2025 | SIGMOD | 5.2209769e-05 |
| 10,429 | Analyzing Deviations from Monotonic Trends through Database Repair | 2026 | SIGMOD | 5.093636e-05 |
| 10,436 | Causal Explanations for Disparate Trends: Where and Why? | 2026 | SIGMOD | 5.093636e-05 |
| 10,502 | Stress-Testing Causal Claims via Cardinality Repairs | 2026 | SIGMOD | 5.093636e-05 |
| 10,979 | Finding Convincing Views to Endorse a Claim | 2025 | VLDB | 5.093636e-05 |
| 11,036 | ClaimIt: Finding Convincing Views to Endorse a Claim | 2025 | VLDB | 5.093636e-05 |
| 11,591 | OREO: Detection of Cherry-picked Generalizations | 2022 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 191 | Scorpion: Explaining Away Outliers in Aggregate Queries | 2013 | VLDB | 0.00026096009 |
| 207 | On the Computation of Multidimensional Aggregates | 1996 | VLDB | 0.00025088003 |
| 410 | SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics | 2015 | VLDB | 0.0001890421 |
| 915 | Intelligent Rollups in Multidimensional OLAP Data | 2001 | VLDB | 0.00013243386 |
| 2,546 | Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query) | 2018 | SIGMOD | 8.4340413e-05 |
| 3,127 | Toward Computational Fact-Checking | 2014 | VLDB | 7.7308958e-05 |
| 4,746 | On Detecting Cherry-picked Trendlines | 2020 | VLDB | 6.5256876e-05 |
| 4,963 | Scrutinizer: Fact Checking Statistical Claims | 2020 | VLDB | 6.4260475e-05 |
| 5,077 | Verifying Text Summaries of Relational Data Sets | 2019 | SIGMOD | 6.3730257e-05 |
| 7,633 | AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets | 2019 | VLDB | 5.5771082e-05 |
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