Interpretable and Informative Explanations of Outcomes
Summary: Problem: multi-dimensional data with a binary outcome; build interpretable explanation tables that summarize which dimension-value combinations affect the outcome. Approach: sampling-based heuristics plus efficient information-content estimation, addressing hardness of optimal explanations and showing empirical gains over related methods. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kareem El Gebaly (University of Waterloo)
- 2. Parag Agrawal (Twitter)
- 3. Lukasz Golab (University of Waterloo)
- 4. Flip Korn (Google)
- 5. Divesh Srivastava (AT&T)
BibTeX Citation
@article{gebaly_vldb15,
title = {{Interpretable and Informative Explanations of Outcomes}},
author = {Gebaly, Kareem El and Agrawal, Parag and Golab, Lukasz and Korn, Flip and Srivastava, Divesh},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {1},
pages = {61--72},
doi = {10.14778/2735461.2735467},
url = {https://doi.org/10.14778/2735461.2735467},
year = {2015}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 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 |
| 404 | Bottom-Up Computation of Sparse and Iceberg CUBEs | 1999 | SIGMOD | 0.00019034819 |
| 1,033 | On Generating Near-Optimal Tableaux for Conditional Functional Dependencies | 2008 | VLDB | 0.00012373297 |
| 2,444 | The Generalized MDL Approach for Summarization | 2002 | VLDB | 8.4450845e-05 |
| 2,550 | Star-Cubing: Computing Iceberg Cubes by Top-Down and Bottom-Up Integration | 2003 | VLDB | 8.2869953e-05 |
| 4,298 | MDL Summarization with Holes | 2005 | VLDB | 6.6640493e-05 |
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