Performance Evaluation for Class Center-Based Missing Data Imputation Algorithm-Reference-Cited by-同舟云学术

Performance Evaluation for Class Center-Based Missing Data Imputation Algorithm

Published:2020-02-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 9th International Conference on Software and Computer Applications
language:
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Author:

Nugroho Heru¹,Utama Nugraha Priya¹,Surendro Kridanto¹

Affiliation:

1. Bandung Institute of Technology, Ged. Achmad Bakrie, Bandung

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3384544.3384575

Reference32 articles.

1. A Review On Missing Value Estimation Using Imputation Algorithm

2. Nearest neighbor imputation algorithms: a critical evaluation

3. Ray Chambers. 2001. Evaluation Criteria for Statistical Editing and Imputation. Department of Social Statistics University of Southampton. Ray Chambers. 2001. Evaluation Criteria for Statistical Editing and Imputation. Department of Social Statistics University of Southampton.

4. Missing Data

5. Rupam Deb and Alan Wee-Chung Liew. 2016. Missing value imputation for the analysis of incomplete traffic accident data. Information Sciences 339 (April 2016) 274--289. DOI= https://doi.org/10.1016/j.ins.2016.01.018 Rupam Deb and Alan Wee-Chung Liew. 2016. Missing value imputation for the analysis of incomplete traffic accident data. Information Sciences 339 (April 2016) 274--289. DOI= https://doi.org/10.1016/j.ins.2016.01.018

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