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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
4.9605343e-05
Overall Rank
11,422 | 23.44%
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
10,690 Analyzing Deviations from Monotonic Trends through Database Repair 2026 SIGMOD 4.9605343e-05
10,697 Causal Explanations for Disparate Trends: Where and Why? 2026 SIGMOD 4.9605343e-05
10,760 Stress-Testing Causal Claims via Cardinality Repairs 2026 SIGMOD 4.9605343e-05
11,459 ClaimIt: Finding Convincing Views to Endorse a Claim 2025 VLDB 4.9605343e-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
191 Scorpion: Explaining Away Outliers in Aggregate Queries 2013 VLDB 0.0002578784
214 On the Computation of Multidimensional Aggregates 1996 VLDB 0.00024576033
389 Why Not? 2009 SIGMOD 0.00019254758
395 SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics 2015 VLDB 0.00019125046
581 The Complexity of Causality and Responsibility for Query Answers and non-Answers 2011 VLDB 0.00016042765
672 A Formal Approach to Finding Explanations for Database Queries 2014 SIGMOD 0.00014903109
879 Interpretable and Informative Explanations of Outcomes 2015 VLDB 0.00013255435
929 Intelligent Rollups in Multidimensional OLAP Data 2001 VLDB 0.000130092
1,649 Relaxing Join and Selection Queries 2006 VLDB 9.9699016e-05
1,954 Interpretable Data-Based Explanations for Fairness Debugging 2022 SIGMOD 9.2965173e-05
1,989 Causality and Explanations in Databases 2014 VLDB 9.2277193e-05
2,233 Explaining Query Answers with Explanation-Ready Databases 2016 VLDB 8.7844607e-05
2,361 Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query) 2018 SIGMOD 8.5605216e-05
2,459 Tracing Data Errors with View-Conditioned Causality 2011 SIGMOD 8.4137923e-05
2,486 ClaimBuster: The First-ever End-to-end Fact-checking System 2017 VLDB 8.3800359e-05
3,074 Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals 2021 SIGMOD 7.6622293e-05
3,183 Toward Computational Fact-Checking 2014 VLDB 7.5408249e-05
3,200 Extracting Top-K Insights from Multi-dimensional Data 2017 SIGMOD 7.5250098e-05
3,569 Promotion Analysis in Multi-Dimensional Space 2009 VLDB 7.1808992e-05
4,347 Query Refinement for Diversity Constraint Satisfaction 2024 VLDB 6.6380671e-05
4,742 Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances 2019 SIGMOD 6.4285195e-05
4,747 QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data 2019 SIGMOD 6.4260676e-05
4,865 High-Level Why-Not Explanations using Ontologies 2015 PODS 6.3619008e-05
4,886 On Detecting Cherry-picked Trendlines 2020 VLDB 6.355165e-05
5,008 XInsight: eXplainable Data Analysis Through The Lens of Causality 2023 SIGMOD 6.3049458e-05
5,088 Scrutinizer: Fact Checking Statistical Claims 2020 VLDB 6.2661814e-05
5,556 Putting Things into Context: Rich Explanations for Query Answers using Join Graphs 2021 SIGMOD 6.0705311e-05
6,496 HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP queries 2018 VLDB 5.7489341e-05
7,173 Guided Exploration of Data Summaries 2022 VLDB 5.578213e-05
7,767 AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets 2019 VLDB 5.4394257e-05
8,375 FEDEX: An Explainability Framework for Data Exploration Steps 2022 VLDB 5.3280107e-05
8,910 DPXPlain: Privately Explaining Aggregate Query Answers 2023 VLDB 5.2369069e-05
9,612 On Detecting Cherry-picked Generalizations 2022 VLDB 5.1376962e-05
11,459 ClaimIt: Finding Convincing Views to Endorse a Claim 2025 VLDB 4.9605343e-05
11,949 OREO: Detection of Cherry-picked Generalizations 2022 VLDB 4.9605343e-05
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