Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification
Summary: Data-management-driven evaluation of 13 fair classification approaches across correctness, fairness, efficiency, scalability, robustness, and data efficiency. Guides method choice and shows where data-management insights beat ML-only approaches. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Maliha Tashfia Islam (University of Massachusetts Amherst)
- 2. Anna Fariha (Microsoft)
- 3. Alexandra Meliou (University of Massachusetts Amherst)
- 4. Babak Salimi (University of California San Diego)
BibTeX Citation
@inproceedings{islam_sigmod22,
title = {{Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification}},
author = {Islam, Maliha Tashfia and Fariha, Anna and Meliou, Alexandra and Salimi, Babak},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3517841},
url = {https://dl.acm.org/doi/10.1145/3514221.3517841},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,352 | OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport | 2024 | SIGMOD | 5.9042757e-05 |
| 7,838 | Consistent Range Approximation for Fair Predictive Modeling | 2023 | VLDB | 5.5343411e-05 |
| 9,848 | Maximizing Fair Content Spread via Edge Suggestion in Social Networks | 2022 | VLDB | 5.2094004e-05 |
| 10,991 | Stress-Testing ML Pipelines with Adversarial Data Corruption | 2025 | VLDB | 5.093636e-05 |
| 11,396 | Prerequisite-driven Fair Clustering on Heterogeneous Information Networks | 2023 | SIGMOD | 5.093636e-05 |
| 11,420 | F3 KM: Federated, Fair, and Fast k-means | 2023 | SIGMOD | 5.093636e-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 |
|---|---|---|---|---|
| 863 | Interventional Fairness : Causal Database Repair for Algorithmic Fairness | 2019 | SIGMOD | 0.00013531835 |
| 1,597 | Designing Fair Ranking Schemes | 2019 | SIGMOD | 0.00010246472 |
| 3,905 | Automated Feature Engineering for Algorithmic Fairness | 2021 | VLDB | 7.029145e-05 |
| 4,658 | OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning | 2021 | SIGMOD | 6.5817368e-05 |
| 5,334 | Operationalizing Individual Fairness with Pairwise Fair Representations | 2020 | VLDB | 6.2622047e-05 |
| 6,824 | Fairly Evaluating and Scoring Items in a Data Set | 2020 | VLDB | 5.7623529e-05 |
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| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 13,458 | DENOUNCER: Detection of Unfairness in Classifiers | 2021 | VLDB |
| 2 | 5,631 | Tailoring Data Source Distributions for Fairness-aware Data Integration | 2021 | VLDB |
| 3 | 5,334 | Operationalizing Individual Fairness with Pairwise Fair Representations | 2020 | VLDB |
| 4 | 4,658 | OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning | 2021 | SIGMOD |
| 5 | 13,494 | The Responsibility Challenge for Data | 2019 | SIGMOD |
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