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Fairness-Aware Range Queries for Selecting Unbiased Data

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conference contribution
posted on 21.08.2022, 00:40 authored by Suraj Shetiya, Ian Swift, Abolfazl AsudehAbolfazl Asudeh, Gautam Das
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Funding

An end-to-end system for detecting cherry-picked trendlines | Funder: Google Research Scholar Award

III: Medium: Collaborative Research: Fairness in Web Database Applications | Funder: Directorate for Computer & Information Science & Engineering | Grant ID: 2107290

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Citation

Shetiya, S., Swift, I. P., Asudeh, A., & Das, G. (2022, May). Fairness-aware range queries for selecting unbiased data. In 2022 IEEE 38th International Conference on Data Engineering (ICDE) (pp. 1423-1436). IEEE. https://doi.org/10.1109/ICDE53745.2022.00111

Publisher

IEEE

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