Mining the Minoria: Unknown, Under-represented, and Under-performing Minority Groups
Summary: Propose “minority mining”: detect unknown, under‑represented and under‑performing subgroups from attribute‑only data by mapping to a dual space and exploiting hyperplane‑arrangement geometry. Provide an efficient low‑dim algorithm, a search‑based high‑dim heuristic to beat the curse of dimensionality, with theoretical analysis and empirical validation. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Mohsen Dehghankar (University of Illinois Chicago)
- 2. Abolfazl Asudeh (University of Illinois Chicago)
BibTeX Citation
@article{dehghankar_vldb25,
title = {{Mining the Minoria: Unknown, Under-represented, and Under-performing Minority Groups}},
author = {Dehghankar, Mohsen and Asudeh, Abolfazl},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {5},
pages = {1453--1465},
doi = {10.14778/3718057.3718072},
url = {https://doi.org/10.14778/3718057.3718072},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,696 | On Fair Epsilon Net and Geometric Hitting Set | 2026 | VLDB | 4.9793485e-05 |
| 10,811 | Unbiased Binning for Fairness-aware Attribute Representation | 2026 | VLDB | 4.9793485e-05 |
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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 |
|---|---|---|---|---|
| 2,105 | Computing k-Regret Minimizing Sets | 2014 | VLDB | 9.0330207e-05 |
| 2,326 | SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging | 2021 | SIGMOD | 8.6309237e-05 |
| 3,262 | Looking for Trouble: Analyzing Classifier Behavior via Pattern Divergence | 2021 | SIGMOD | 7.4815294e-05 |
| 4,030 | Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models | 2021 | SIGMOD | 6.8407272e-05 |
| 5,610 | On Obtaining Stable Rankings | 2019 | VLDB | 6.0686149e-05 |
| 6,716 | RRR: Rank-Regret Representative | 2019 | SIGMOD | 5.6993087e-05 |
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