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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
14241
Venue
VLDB
Year
2025
Pagerank
5.093636e-05
Overall Rank
10,979 | 24.68%
DOI
10.14778/3705829.3705857

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
10,429 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
11,036 ClaimIt: Finding Convincing Views to Endorse a Claim 2025 VLDB 5.093636e-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 0.00026096009
207 On the Computation of Multidimensional Aggregates 1996 VLDB 0.00025088003
385 Why Not? 2009 SIGMOD 0.00019455743
410 SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics 2015 VLDB 0.0001890421
605 The Complexity of Causality and Responsibility for Query Answers and non-Answers 2011 VLDB 0.00015839628
663 A Formal Approach to Finding Explanations for Database Queries 2014 SIGMOD 0.00015174751
858 Interpretable and Informative Explanations of Outcomes 2015 VLDB 0.0001356511
915 Intelligent Rollups in Multidimensional OLAP Data 2001 VLDB 0.00013243386
1,636 Relaxing Join and Selection Queries 2006 VLDB 0.00010156479
1,943 Causality and Explanations in Databases 2014 VLDB 9.440636e-05
1,951 Interpretable Data-Based Explanations for Fairness Debugging 2022 SIGMOD 9.4252389e-05
2,195 Explaining Query Answers with Explanation-Ready Databases 2016 VLDB 8.9713779e-05
2,428 ClaimBuster: The First-ever End-to-end Fact-checking System 2017 VLDB 8.5897309e-05
2,432 Tracing Data Errors with View-Conditioned Causality 2011 SIGMOD 8.5870067e-05
2,546 Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query) 2018 SIGMOD 8.4340413e-05
3,000 Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals 2021 SIGMOD 7.8677069e-05
3,127 Toward Computational Fact-Checking 2014 VLDB 7.7308958e-05
3,132 Extracting Top-K Insights from Multi-dimensional Data 2017 SIGMOD 7.7246394e-05
3,521 Promotion Analysis in Multi-Dimensional Space 2009 VLDB 7.3501396e-05
4,628 QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data 2019 SIGMOD 6.5962102e-05
4,638 Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances 2019 SIGMOD 6.5919801e-05
4,746 On Detecting Cherry-picked Trendlines 2020 VLDB 6.5256876e-05
4,747 High-Level Why-Not Explanations using Ontologies 2015 PODS 6.5252099e-05
4,876 XInsight: eXplainable Data Analysis Through The Lens of Causality 2023 SIGMOD 6.4687705e-05
4,963 Scrutinizer: Fact Checking Statistical Claims 2020 VLDB 6.4260475e-05
5,396 Putting Things into Context: Rich Explanations for Query Answers using Join Graphs 2021 SIGMOD 6.2329373e-05
6,293 Query Refinement for Diversity Constraint Satisfaction 2024 VLDB 5.9247942e-05
7,003 Guided Exploration of Data Summaries 2022 VLDB 5.7278883e-05
7,122 HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP queries 2018 VLDB 5.6968152e-05
7,633 AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets 2019 VLDB 5.5771082e-05
8,184 FEDEX: An Explainability Framework for Data Exploration Steps 2022 VLDB 5.4709725e-05
8,719 DPXPlain: Privately Explaining Aggregate Query Answers 2023 VLDB 5.3774243e-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
11,617 On Detecting Cherry-picked Generalizations 2022 VLDB 5.093636e-05
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