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Data Cleaning is a long standing problem, which is growing in importance with the mass of uncurated web data.
A systematic approach to automatic edit and imputation
I. Fellegi and D. Holt · 1976
Earlier work this paper cites.
A maximum entropy approach to natural language processing
A. Berger, V. Pietra, and S. Pietra · 1996
Earlier work this paper cites.
The impact of poor data quality on the typical enterprise
T. Redman · 1998
Earlier work this paper cites.
Learning string-edit distance
E. Ristad and P. Yianilos · 1998
Earlier work this paper cites.
Distance-based outliers: algorithms and applications
E. Knorr, R. Ng, and V. Tucakov · 2000
Earlier work this paper cites.
Probabilistic noise identification and data cleaning
J. Kubica and A. Moore · 2002
Cited alongside, same era.
Using association rules for completing missing data
C. Wu, C. Wun, and H. Chou · 2004
Cited alongside, same era.
A cost-based model and effective heuristic for repairing constraints by value modification
P. Bohannon, W. Fan, M. Flaster, and R. Rastogi · 2005
Cited alongside, same era.
Banjo: Bayesian network inference with java objects
A. Hartemink et al · 2005
Cited alongside, same era.
Enhancing data analysis with noise removal
H. Xiong, G. Pandey, M. Steinbach, and V. Kumar · 2006
Cited alongside, same era.
Discovering data quality rules
F. Chiang and R. Miller · 2008
Later among the works it cites.
Discovering conditional functional dependencies
W. Fan, F. Geerts, L. Lakshmanan, and M. Xiong · 2009
Later among the works it cites.
Towards certain fixes with editing rules and master data
W. Fan, J. Li, S. Ma, N. Tang, and W. Yu · 2010
Later among the works it cites.
Infer.NET 2.4, 2010
T. Minka, J. Winn, J. Guiver, and D. Knowles · 2010
Later among the works it cites.
Data cleaning and query answering with matching dependencies and matching functions
L. E. Bertossi, S. Kolahi, and L. V. S. Lakshmanan · 2011
Later among the works it cites.
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