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Provenance for Entity Resolution.

, and . IPAW, volume 11017 of Lecture Notes in Computer Science, page 226-230. Springer, (2018)

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Studierendenkonferenz Informatik 2014, , , , , and . INFORMATIK 2014 Big Data – Komplexität meistern, P-232, page 238-240. Gesellschaft für Informatik, (September 2014)Provenance-based explanations: are they useful?, and . TaPP, page 2:1-2:4. ACM, (2022)LuPe: A System for Personalized and Transparent Data-driven Decisions., and . CIKM, page 2905-2908. ACM, (2019)Trust in data engineering: reflection, framework, and evaluation methodology., and . DEco@VLDB, volume 3306 of CEUR Workshop Proceedings, page 4-17. CEUR-WS.org, (2022)A System Framework for Personalized and Transparent Data-Driven Decisions., and . CAiSE, volume 12127 of Lecture Notes in Computer Science, page 153-168. Springer, (2020)Provenance for Entity Resolution., and . IPAW, volume 11017 of Lecture Notes in Computer Science, page 226-230. Springer, (2018)Accountable Data Analytics Start with Accountable Data: The LiQuID Metadata Model., and . ER Forum/Posters/Demos, volume 2716 of CEUR Workshop Proceedings, page 59-72. CEUR-WS.org, (2020)Metrics and Algorithms for Locally Fair and Accurate Classifications using Ensembles., , and . Datenbank-Spektrum, 22 (1): 23-43 (2022)Using FALCES against bias in automated decisions by integrating fairness in dynamic model ensembles., , and . BTW, volume P-311 of LNI, page 155-174. Gesellschaft für Informatik, Bonn, (2021)