Skip to main content
Log in

Statistical relational learning based automatic data cleaning

  • Letter
  • Published:
Frontiers of Computer Science Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

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

    MATH  Google Scholar 

  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

    Google Scholar 

  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

    Article  Google Scholar 

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

    Article  Google Scholar 

  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

    Article  Google Scholar 

  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

    Google Scholar 

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

    Google Scholar 

  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

    Article  Google Scholar 

Download references

Acknowledgements

The work was supported by the Fundamental Research Funds for the Central Universities, Southwest Minzu University (2018NQN32), the National High Technology Research and Development Program 863 of China (2015AA015307), the National Natural Science Foundation of China (Grant Nos. 61672432, 61702161), the Key Research and Development and Promotion Program of Henan Province of China (182102210213), and the Foundation of Henan Educational Committee (18A520003).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Weibang Li.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, W., Li, L., Li, Z. et al. Statistical relational learning based automatic data cleaning. Front. Comput. Sci. 13, 215–217 (2019). https://doi.org/10.1007/s11704-018-7066-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11704-018-7066-4

Navigation