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Figure 3.8 Based On: George Beskales, Mohamed A. Soliman, Ihab F. Ilyas, and Shai Ben-David. Modeling and querying possible repairs in duplicate detection. Proc. VLDB Endowment, 2(1): 598–609, (August 2009), 598–609. DOI: 10.14778/1687627.1687695.
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Figure 4.10 Z. Abedjan, J. Morcos, I. F. Ilyas, M. Ouzzani, P. Papotti and M. Stonebraker, DataXFormer: A robust transformation discovery system, 2016 IEEE 32nd International Conference on Data Engineering (ICDE), Helsinki, 2016, pp. 1134–1145. DOI: 10.1109/ICDE .2016.7498319.
Figure 4.11 Based On: Z. Abedjan, J. Morcos, I. F. Ilyas, M. Ouzzani, P. Papotti and M. Stonebraker, DataXFormer: A robust transformation discovery system, 2016 IEEE 32nd International Conference on Data Engineering (ICDE), Helsinki, 2016, pp. 1134–1145. DOI: 10.1109/ICDE.2016.7498319.
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Figure 5.8 Matteo Interlandi and Nan Tang. Proof positive and negative in data cleaning. In Proc. 31st Int. Conf. on Data Engineering, 2015.
Figure 5.9 Matteo Interlandi and Nan Tang. Proof positive and negative in data cleaning. In Proc. 31st Int. Conf. on Data Engineering, 2015.
Figure 5.10 Matteo Interlandi and Nan Tang. Proof positive and negative in data cleaning. In Proc. 31st Int. Conf. on Data Engineering, 2015.
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Figure 6.3 Alexandra Meliou, Wolfgang Gatterbauer, Suman Nath, and Dan Suciu. 2011. Tracing data errors with view-conditioned causality. In Proceedings of the 2011 ACM SIGMOD International Conference on Management of data (SIGMOD ’11). ACM, New York, NY, USA, 505–516. DOI: 10.1145/1989323.1989376.
