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Record fusion is the task of aggregating multiple records that correspond to the same real-world entity in a database.
One-unambiguous regular languages
A. Brüggemann-Klein and D. Wood · 1998
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Logistic regression
D. G. Kleinbaum, K. Dietz, M. Gail, M. Klein, and M. Klein · 2002
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Conflict handling strategies in an integrated information system
J. Bleiholder and F. Naumann · 2006
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Duplicate record detection: A survey
A. K. Elmagarmid, P. G. Ipeirotis, and V. S. Verykios · 2006
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Truth discovery with multiple conflicting information providers on the web
X. Yin, J. Han, and S. Y. Philip · 2008
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Integrating conflicting data: the role of source dependence
X. L. Dong, L. Berti-Equille, and D. Srivastava · 2009
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Truth discovery and copying detection in a dynamic world
X. L. Dong, L. Berti-Equille, and D. Srivastava · 2009
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Global detection of complex copying relationships between sources
X. L. Dong, L. Berti-Equille, Y. Hu, and D. Srivastava · 2010
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Corroborating information from disagreeing views
A. Galland, S. Abiteboul, A. Marian, and P. Senellart · 2010
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Knowing what to believe (when you already know something)
J. Pasternack and D. Roth · 2010
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Knowledge-based weak supervision for information extraction of overlapping relations
R. Hoffmann, C. Zhang, X. Ling, L. Zettlemoyer, and D. S. Weld · 2011
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A framework for corroborating answers from multiple web sources
M. Wu and A. Marian · 2011
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Semi-supervised truth discovery
X. Yin and W. Tan · 2011
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Less is more: Selecting sources wisely for integration
X. L. Dong, B. Saha, and D. Srivastava · 2012
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Entity resolution: theory, practice & open challenges
L. Getoor and A. Machanavajjhala · 2012
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Truth finding on the deep web: Is the problem solved?
X. Li, X. L. Dong, K. Lyons, W. Meng, and D. Srivastava · 2012
Understanding machine learning: From theory to algorithms
S. Shalev-Shwartz and S. Ben-David · 2014
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Distributed data deduplication
X. Chu, I. F. Ilyas, and P. Koutris · 2016
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Unsupervised string transformation learning for entity consolidation
D. Deng, W. Tao, Z. Abedjan, A. Elmagarmid, G. Li, I. F. Ilyas, S. Madden, M. Ouzzani, M. Stonebraker, and N. Tang · 2017
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Snorkel: Rapid training data creation with weak supervision
A. Ratner, S. H. Bach, H. Ehrenberg, J. Fries, S. Wu, and C. Ré · 2017
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Slimfast: Guaranteed results for data fusion and source reliability
T. Rekatsinas, M. Joglekar, H. Garcia-Molina, A. Parameswaran, and C. Ré · 2017
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Data integration and machine learning: A natural synergy
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Cited alongside, same era.
Compact explanation of data fusion decisions
X. L. Dong and D. Srivastava · 2013
Cited alongside, same era.
Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
Cited alongside, same era.
A confidence-aware approach for truth discovery on long-tail data
Q. Li, Y. Li, J. Gao, L. Su, B. Zhao, M. Demirbas, W. Fan, and J. Han · 2014
Cited alongside, same era.
X. L. Dong and T. Rekatsinas · 2018
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Approximate inference in structured instances with noisy categorical observations
A. Heidari, I. F. Ilyas, and T. Rekatsinas · 2019
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Holodetect: Few-shot learning for error detection
A. Heidari, J. McGrath, I. F. Ilyas, and T. Rekatsinas · 2019
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Approximate denial constraints
E. Livshits, A. Heidari, I. F. Ilyas, and B. Kimelfeld · 2020
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