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Finding Convincing Views to Endorse a Claim

Summary: Reverses claim assessment by finding significant, “natural” selection views that support or contradict aggregate comparisons. Anytime algorithms rank attribute combinations before efficiently searching views, balancing evidential strength, naturalness, and cost. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
hb41c69e04208a968
Venue
VLDB
Year
2025
Pagerank
4.9769913e-05
Overall Rank
11,369 | 23.59%
DOI
10.14778/3705829.3705857
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{agmon_vldb25,
        title = {{Finding Convincing Views to Endorse a Claim}},
        author = {Agmon, Shunit and Gilad, Amir and Youngmann, Brit and Zoarets, Shahar and Kimelfeld, Benny},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {2},
        pages = {439--452},
        doi = {10.14778/3705829.3705857},
        url = {https://doi.org/10.14778/3705829.3705857},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
10,629 Analyzing Deviations from Monotonic Trends through Database Repair 2026 SIGMOD 4.9769913e-05
10,636 Causal Explanations for Disparate Trends: Where and Why? 2026 SIGMOD 4.9769913e-05
10,699 Stress-Testing Causal Claims via Cardinality Repairs 2026 SIGMOD 4.9769913e-05
11,406 ClaimIt: Finding Convincing Views to Endorse a Claim 2025 VLDB 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 35 of 35 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
190 Scorpion: Explaining Away Outliers in Aggregate Queries 2013 VLDB 0.0002582857
214 On the Computation of Multidimensional Aggregates 1996 VLDB 0.00024650285
389 Why Not? 2009 SIGMOD 0.00019313101
395 SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics 2015 VLDB 0.00019156481
578 The Complexity of Causality and Responsibility for Query Answers and non-Answers 2011 VLDB 0.00016093679
671 A Formal Approach to Finding Explanations for Database Queries 2014 SIGMOD 0.00014948069
878 Interpretable and Informative Explanations of Outcomes 2015 VLDB 0.00013296412
925 Intelligent Rollups in Multidimensional OLAP Data 2001 VLDB 0.00013045856
1,643 Relaxing Join and Selection Queries 2006 VLDB 0.00010001728
1,943 Interpretable Data-Based Explanations for Fairness Debugging 2022 SIGMOD 9.3254131e-05
1,983 Causality and Explanations in Databases 2014 VLDB 9.2548712e-05
2,222 Explaining Query Answers with Explanation-Ready Databases 2016 VLDB 8.8106741e-05
2,355 Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query) 2018 SIGMOD 8.5862478e-05
2,458 Tracing Data Errors with View-Conditioned Causality 2011 SIGMOD 8.4334752e-05
2,479 ClaimBuster: The First-ever End-to-end Fact-checking System 2017 VLDB 8.405634e-05
3,065 Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals 2021 SIGMOD 7.6876494e-05
3,172 Toward Computational Fact-Checking 2014 VLDB 7.5658423e-05
3,189 Extracting Top-K Insights from Multi-dimensional Data 2017 SIGMOD 7.5499689e-05
3,559 Promotion Analysis in Multi-Dimensional Space 2009 VLDB 7.2045401e-05
4,327 Query Refinement for Diversity Constraint Satisfaction 2024 VLDB 6.6600895e-05
4,726 QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data 2019 SIGMOD 6.4473808e-05
4,741 Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances 2019 SIGMOD 6.4411456e-05
4,842 High-Level Why-Not Explanations using Ontologies 2015 PODS 6.3828247e-05
4,861 On Detecting Cherry-picked Trendlines 2020 VLDB 6.3762488e-05
4,984 XInsight: eXplainable Data Analysis Through The Lens of Causality 2023 SIGMOD 6.325863e-05
5,069 Scrutinizer: Fact Checking Statistical Claims 2020 VLDB 6.28697e-05
5,533 Putting Things into Context: Rich Explanations for Query Answers using Join Graphs 2021 SIGMOD 6.0906707e-05
6,492 HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP queries 2018 VLDB 5.7647756e-05
7,148 Guided Exploration of Data Summaries 2022 VLDB 5.5967192e-05
7,754 AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets 2019 VLDB 5.4574715e-05
8,360 FEDEX: An Explainability Framework for Data Exploration Steps 2022 VLDB 5.3456868e-05
8,890 DPXPlain: Privately Explaining Aggregate Query Answers 2023 VLDB 5.2542808e-05
9,587 On Detecting Cherry-picked Generalizations 2022 VLDB 5.154741e-05
11,406 ClaimIt: Finding Convincing Views to Endorse a Claim 2025 VLDB 4.9769913e-05
11,905 OREO: Detection of Cherry-picked Generalizations 2022 VLDB 4.9769913e-05
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