Statistical relational learning based automatic data cleaning

Weibang LI; Ling LI; Zhanhuai LI; Mengtian CUI

doi:10.1007/s11704-018-7066-4

Front. Comput. Sci. ›› 2019, Vol. 13 ›› Issue (1) : 215 -217. DOI: 10.1007/s11704-018-7066-4

LETTER

Statistical relational learning based automatic data cleaning

Author information +

History +

PDF (218KB)

Cite this article

Download citation ▾

Weibang LI, Ling LI, Zhanhuai LI, Mengtian CUI. Statistical relational learning based automatic data cleaning. Front. Comput. Sci., 2019, 13(1): 215-217 DOI:10.1007/s11704-018-7066-4

登录浏览全文

4963

注册一个新账户忘记密码

References

Publishing order | Descend order by publishing year | Descend order by cited within

[1]	Carlo B, Monica S. Data Quality: Concepts, Methodologies and Techniques. Berlin: Springer Publishing Company, 2006

[2]	Doshi P, Greenwald L, Clarke J R. Using Bayesian networks for cleansing trauma data. In: Proceedings of the 6th International Florida Artificial Intelligence Research Society Conference. 2003, 72–76

[3]	Yakout M, Elmagarmid A K, Neville J, Ouzzani M, Ilyas I F. Guided data repair. Proceedings of the VLDB Endowment, 2011, 4(5): 279–289

[4]	Wang J, Kraska T, Franklin M J, Feng J. Crowder: crowdsourcing entity resolution. Proceedings of the VLDB Endowment, 2012, 5(11): 1483–1494

[5]	Fan W, Geerts F, Jia X, Kementsietsidis A. Conditional functional dependencies for capturing data inconsistencies. Journal of ACM Transactions on Database Systems, 2008, 33(2): 1–48

[6]	Smyth P, Goodman R M. Rule induction using information theory. In: Proceedings of the International Conference on Knowledge Discovery in Databases. 1991, 159–176

[7]	Hu Y, De S, Chen Y, Kambhampati S. Bayesian data cleaning for Web data. 2012, arXiv preprint arXiv:1204.3677

[8]	De S, Hu Y, Meduri V, Chen Y, Kambhampati S. Bayeswipe: a scalable probabilistic framework for improving data quality. Journal of Data and Information Quality, 2016, 8(1): 1–30