Causality and Explanations in Databases
Summary: Survey/tutorial on causality and explanations in data management, bridging databases and AI. Proposes a unified framework, surveys theory and applications, and links causality to provenance, deletion propagation, why-not queries, and OLAP; outlines future DB research. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Alexandra Meliou (University of Massachusetts Amherst)
- 2. Sudeepa Roy (University of Washington)
- 3. Dan Suciu (University of Washington)
BibTeX Citation
@article{meliou_vldb14,
title = {{Causality and Explanations in Databases}},
author = {Meliou, Alexandra and Roy, Sudeepa and Suciu, Dan},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {13},
pages = {1715--1718},
doi = {10.14778/2733004.2733059},
url = {https://doi.org/10.14778/2733004.2733059},
year = {2014}
}Incoming Citations (Sorted by Pagerank)
Showing 28 of 28 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 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 |
| 1,708 | PerfXplain: Debugging MapReduce Job Performance | 2012 | VLDB | 9.8184303e-05 |
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