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Data is critical in almost every aspect of society, including education, technology, healthcare, economy, and science. Poor understanding and handling of data, data biases, poor data quality, and errors in data-driven processes are detrimental in all domains that rely on data. My research augments data management with user-facing functionality that helps people make sense of their data and use it effectively, at a time when data becomes increasingly unpredictable, unwieldy, and unmanageable. I focus on issues of provenance, causality, explanations, data quality, usability, and data and algorithmic bias.
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论文共 108 篇作者统计合作学者相似作者
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Proceedings of the ACM on Management of Datano. 1 (2024): 1-2
Alexandra Meliou,Sourav Bhowmick,Karl Aberer, Divy Agrawal,Angela Bonifati,Vanessa Braganholo, Floris Geerts,Wolfgang Lehner,Divesh Srivastava
SIGMOD RECORDno. 4 (2023): 41-46
CoRR (2023)
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Proceedings of the ACM on Management of Datano. 3 (2023): 203:1-203:2
Proc. VLDB Endow.no. 5 (2023): 1146-1158
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Proceedings of the ACM on Management of Datano. 4 (2023): 222:1-222:2
Sigmod Recordno. 2 (2022): 69-73
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