CauSumX: Summarized Causal Explanations For Group-By-Average Queries
Summary: CauSumX yields concise, causal explanations for group-by-average queries, aiding interpretation of high-dimensional results. It uses background causal knowledge and an efficient algorithm to reveal key cause-effect drivers of cross-group variation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Nativ Levy (Technion)
- 2. Michael John Cafarella (Massachusetts Institute of Technology)
- 3. Amir Gilad (Hebrew University)
- 4. Sudeepa Roy (Duke University)
- 5. Brit Youngmann (Technion)
BibTeX Citation
@inproceedings{levy_sigmod25,
title = {{CauSumX: Summarized Causal Explanations For Group-By-Average Queries}},
author = {Levy, Nativ and Cafarella, Michael John and Gilad, Amir and Roy, Sudeepa and Youngmann, Brit},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3725088},
url = {https://dl.acm.org/doi/10.1145/3722212.3725088},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 29 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.0005121339 |
| 189 | Scorpion: Explaining Away Outliers in Aggregate Queries | 2013 | VLDB | 0.00025840026 |
| 670 | A Formal Approach to Finding Explanations for Database Queries | 2014 | SIGMOD | 0.00014954494 |
| 819 | Provenance for Aggregate Queries | 2011 | PODS | 0.00013666629 |
| 878 | Interpretable and Informative Explanations of Outcomes | 2015 | VLDB | 0.00013302631 |
| 2,353 | Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query) | 2018 | SIGMOD | 8.5902514e-05 |
| 4,982 | XInsight: eXplainable Data Analysis Through The Lens of Causality | 2023 | SIGMOD | 6.328859e-05 |
| 5,529 | Putting Things into Context: Rich Explanations for Query Answers using Join Graphs | 2021 | SIGMOD | 6.0935553e-05 |
| 6,436 | Summarized Causal Explanations For Aggregate Views | 2024 | SIGMOD | 5.7853643e-05 |
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