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Optimizing user views for workflows.

, , , and . ICDT, volume 361 of ACM International Conference Proceeding Series, page 310-323. ACM, (2009)

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Learning to Sample: Counting with Complex Queries., , , and . Proc. VLDB Endow., 13 (3): 390-402 (2019)CaJaDE: Explaining Query Results by Augmenting Provenance with Context., , , , and . Proc. VLDB Endow., 15 (12): 3594-3597 (2022)DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms., , , , and . Proc. VLDB Endow., 17 (1): 65-78 (2023)Exact Model Counting of Query Expressions: Limitations of Propositional Methods., , , and . ACM Trans. Database Syst., 42 (1): 1:1-1:46 (2017)Hiding Data and Structure in Workflow Provenance., , and . DNIS, volume 7108 of Lecture Notes in Computer Science, page 41-48. Springer, (2011)Circuits for Datalog Provenance., , , and . ICDT, page 201-212. OpenProceedings.org, (2014)Trends in Explanations: Understanding and Debugging Data-driven Systems., , and . Found. Trends Databases, 11 (3): 226-318 (2021)Lower Bounds for Exact Model Counting and Applications in Probabilistic Databases., , , and . UAI, AUAI Press, (2013)2022 ACM PODS Alberto O. Mendelzon Test-of-Time Award., , and . PODS, page 103-104. ACM, (2022)Characterizing and Verifying Queries Via CINSGEN., , , , and . SIGMOD Conference Companion, page 143-146. ACM, (2023)