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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)

Paper ID
6355
Venue
SIGMOD
Year
2022
Pagerank
5.7964916e-05
Overall Rank
6,709 | 53.98%
DOI
10.1145/3514221.3517841

Incoming Non-self Citations Over Time

Authors

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}
}

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