Application of Attribute Correlation in Unsupervised Data Cleaning-Reference-Cited by-同舟云学术

Application of Attribute Correlation in Unsupervised Data Cleaning

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 the 5th International Conference on e-Society, e-Learning and e-Technologies - ICSLT 2019
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Author:

Li Pei¹,Dai Chaofan¹,Wang Wenqian¹

Affiliation:

1. Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China

Publisher

ACM Press

Reference24 articles.

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2. Xu, S., Lu, B., Baldea, M., Edgar, T. F., Wojsznis, W., & Blevins, T., et al. 2015. Data cleaning in the process industries. Reviews in Chemical Engineering, 31(5), 453--490.

3. Fujii, T., Ito, H., & Miyoshi, S. 2017. Statistical-mechanical analysis connecting supervised learning and semi-supervised learning. Journal of the Physical Society of Japan, 86(6), 063801.

4. Zhang W, Zhang T. X., Shen J. 2005. Dynamic infrared imagery analysis method based on knowledge representation and supervised learning. Infrared and Laser Engineering, (2):216--220. DOI:10.3969/j.issn.1007--2276.2005.02.021.

5. Xu S. L., Wang J. H. 2016. Classification Algorithm Combined with Unsupervised Learning for Data Stream. Pattern Recognition and Artificial Intelligence, (7):665--672. DOI:10.16451/j.cnki.issn1003--6059.201607011.

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