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FALCC: Efficiently performing locally fair and accurate classifications.

, and . EDBT, page 208-220. OpenProceedings.org, (2024)

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Scaling up duplicate detection in graph data., and . CIKM, page 1325-1326. ACM, (2008)To Not Miss the Forest for the Trees - A Holistic Approach for Explaining Missing Answers over Nested Data., , , and . SIGMOD Conference, page 405-417. ACM, (2021)PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery., , , , , and . SIGMOD Conference, page 2156-2168. ACM, (2021)Structural summaries for visual provenance analysis., and . TaPP, USENIX Association, (2019)Provenance-based explanations: are they useful?, and . TaPP, page 2:1-2:4. ACM, (2022)Provenance in DISC Systems: Reducing Space Overhead at Runtime., , and . TaPP, USENIX Association, (2017)Debugging Missing Answers for Spark Queries over Nested Data with Breadcrumb., , , and . Proc. VLDB Endow., 14 (12): 2731-2734 (2021)End-to-end Task Based Parallelization for Entity Resolution on Dynamic Data., and . ICDE, page 1248-1259. IEEE, (2021)Towards Integrating Collaborative Filtering in Visual Data Exploration Systems., and . ADBIS (Short Papers and Workshops), volume 1064 of Communications in Computer and Information Science, page 153-160. Springer, (2019)Progressive Entity Resolution over Incremental Data., and . EDBT, page 80-91. OpenProceedings.org, (2023)