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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
4.9793485e-05
Overall Rank
11,362 | 23.61%
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
10,618 Analyzing Deviations from Monotonic Trends through Database Repair 2026 SIGMOD 4.9793485e-05
10,625 Causal Explanations for Disparate Trends: Where and Why? 2026 SIGMOD 4.9793485e-05
10,688 Stress-Testing Causal Claims via Cardinality Repairs 2026 SIGMOD 4.9793485e-05
11,400 ClaimIt: Finding Convincing Views to Endorse a Claim 2025 VLDB 4.9793485e-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
189 Scorpion: Explaining Away Outliers in Aggregate Queries 2013 VLDB 0.00025840026
214 On the Computation of Multidimensional Aggregates 1996 VLDB 0.00024656893
391 Why Not? 2009 SIGMOD 0.00019238698
395 SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics 2015 VLDB 0.00019165452
578 The Complexity of Causality and Responsibility for Query Answers and non-Answers 2011 VLDB 0.00016096504
670 A Formal Approach to Finding Explanations for Database Queries 2014 SIGMOD 0.00014954494
878 Interpretable and Informative Explanations of Outcomes 2015 VLDB 0.00013302631
925 Intelligent Rollups in Multidimensional OLAP Data 2001 VLDB 0.00013051939
1,643 Relaxing Join and Selection Queries 2006 VLDB 0.00010006399
1,941 Interpretable Data-Based Explanations for Fairness Debugging 2022 SIGMOD 9.3297671e-05
1,981 Causality and Explanations in Databases 2014 VLDB 9.2586863e-05
2,222 Explaining Query Answers with Explanation-Ready Databases 2016 VLDB 8.8109051e-05
2,353 Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query) 2018 SIGMOD 8.5902514e-05
2,458 Tracing Data Errors with View-Conditioned Causality 2011 SIGMOD 8.4371456e-05
2,482 ClaimBuster: The First-ever End-to-end Fact-checking System 2017 VLDB 8.399913e-05
3,063 Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals 2021 SIGMOD 7.6912904e-05
3,178 Toward Computational Fact-Checking 2014 VLDB 7.5655186e-05
3,188 Extracting Top-K Insights from Multi-dimensional Data 2017 SIGMOD 7.5535445e-05
3,557 Promotion Analysis in Multi-Dimensional Space 2009 VLDB 7.2079402e-05
4,327 Query Refinement for Diversity Constraint Satisfaction 2024 VLDB 6.6632438e-05
4,725 QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data 2019 SIGMOD 6.4504342e-05
4,739 Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances 2019 SIGMOD 6.4441962e-05
4,840 High-Level Why-Not Explanations using Ontologies 2015 PODS 6.3858476e-05
4,860 On Detecting Cherry-picked Trendlines 2020 VLDB 6.3792687e-05
4,982 XInsight: eXplainable Data Analysis Through The Lens of Causality 2023 SIGMOD 6.328859e-05
5,066 Scrutinizer: Fact Checking Statistical Claims 2020 VLDB 6.2899476e-05
5,529 Putting Things into Context: Rich Explanations for Query Answers using Join Graphs 2021 SIGMOD 6.0935553e-05
6,490 HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP queries 2018 VLDB 5.7675055e-05
7,146 Guided Exploration of Data Summaries 2022 VLDB 5.5993699e-05
7,748 AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets 2019 VLDB 5.4600562e-05
8,355 FEDEX: An Explainability Framework for Data Exploration Steps 2022 VLDB 5.3482186e-05
8,881 DPXPlain: Privately Explaining Aggregate Query Answers 2023 VLDB 5.2567693e-05
9,579 On Detecting Cherry-picked Generalizations 2022 VLDB 5.1571823e-05
11,400 ClaimIt: Finding Convincing Views to Endorse a Claim 2025 VLDB 4.9793485e-05
11,899 OREO: Detection of Cherry-picked Generalizations 2022 VLDB 4.9793485e-05
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