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KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing.

, , , , , , and . Proc. VLDB Endow., 8 (12): 1952-1955 (2015)

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Probabilistic Reconciliation of Records from Inaccurate Web Sources (Extended Abstract)., , , and . SEBD, page 390-397. Esculapio Editore, (2010)Data Integration., and . Encyclopedia of Big Data Technologies, Springer, (2019)BART in Action: Error Generation and Empirical Evaluations of Data-Cleaning Systems., , , , , and . SIGMOD Conference, page 2161-2164. ACM, (2016)LIBRE: Learning Interpretable Boolean Rule Ensembles., , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 245-255. PMLR, (2020)Benchmarking Data Curation Systems., , , , , and . IEEE Data Eng. Bull., 39 (2): 47-62 (2016)Querying Large Language Models with SQL., , and . CoRR, (2023)Variable Selection in Maximum Mean Discrepancy for Interpretable Distribution Comparison., , , , and . CoRR, (2023)Cleaning data with Llunatic., , , and . VLDB J., 29 (4): 867-892 (2020)Towards User-Aware Rule Discovery., and . ISIP, volume 760 of Communications in Computer and Information Science, page 3-17. Springer, (2016)Towards a Benchmark for Fact Checking with Knowledge Bases., and . WWW (Companion Volume), page 1595-1598. ACM, (2018)