Missing data imputation using Evolutionary k- Nearest neighbor algorithm for gene expression data-Reference-Cited by-同舟云学术

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Missing data imputation using Evolutionary k- Nearest neighbor algorithm for gene expression data

Published:2016-09 Issue: Volume: Page:
ISSN:
Container-title:2016 Sixteenth International Conference on Advances in ICT for Emerging Regions (ICTer)
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Author:

de Silva Hiroshi,Perera A. Shehan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7822830/7829879/07829911.pdf?arnumber=7829911

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploiting nearest neighbor data and fuzzy membership function to address missing values in classification;PeerJ Computer Science;2024-03-28

2. Analysis of missing data and comparing the accuracy of imputation methods using wheat crop data;Multimedia Tools and Applications;2023-10-09

3. AUD-DSS: a decision support system for early detection of patients with alcohol use disorder;BMC Bioinformatics;2023-09-02

4. A MISSING DATA IMPUTATION METHOD BASED ON GREY WOLF ALGORITHM FOR DIABETES DISEASE;AURUM Journal of Engineering Systems and Architecture;2023-06-30

5. Explainable global error weighted on feature importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation;Applied Intelligence;2023-06-06

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