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cs.DB2023
Quantifying Uncertainty in Aggregate Queries over Integrated Datasets
Deniz Turkcapar, Sanjay Krishnan
Data integration is a notoriously difficult and heuristic-driven process, especially when ground-truth data are not readily available. This paper presents a measure of uncertainty…
cs.DB2023
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow
Siyuan Xia, Zhiru Zhu, Chris Zhu +7
Pooling and sharing data increases and distributes its value. But since data cannot be revoked once shared, scenarios that require controlled release of data for regulatory, privac…