Machine Learning Based Missing Data Imputation in Categorical Datasets-Reference-Cited by-同舟云学术

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Machine Learning Based Missing Data Imputation in Categorical Datasets

Published:2024 Issue: Volume:12 Page:88332-88344
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ishaq Muhammad¹,Zahir Sana¹,Iftikhar Laila¹,Bulbul Mohammad Farhad²^ORCID,Rho Seungmin³^ORCID,Lee Mi Young⁴^ORCID

Affiliation:

1. Institute of Computer Sciences and Information Technology, The University of Agriculture at Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan

2. Department of Mathematics, Jashore University of Science and Technology, Jashore, Bangladesh

3. Department of Industrial Security, Chung-Ang University, Seoul, South Korea

4. Department of Research, Chung-Ang University, Seoul, South Korea

Funder

Basic Science Research Program through the National Research Foundation of Korea

Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10552230.pdf?arnumber=10552230

Reference32 articles.

1. Data imputation and machine learning improve association analysis and genomic prediction for resistance to fish photobacteriosis in the gilthead sea bream

2. A study on the importance of and time spent on different modeling steps

3. “Semantics Inside!” But Let’s Not Tell the Data Miners: Intelligent Support for Data Mining

4. Wrangler

5. An efficient computerized decision support system for the analysis and 3D visualization of brain tumor

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