Missing Data Preprocessing in Credit Classification: One-Hot Encoding or Imputation?-Reference-Cited by-同舟云学术

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Missing Data Preprocessing in Credit Classification: One-Hot Encoding or Imputation?

Published:2020-10-08 Issue:2 Volume:58 Page:472-482
ISSN:1540-496X
Container-title:Emerging Markets Finance and Trade
language:en
Short-container-title:Emerging Markets Finance and Trade

Author:

Yu Lean¹^ORCID,Zhou Rongtian²,Chen Rongda³,Lai Kin Keung⁴

Affiliation:

1. School of Economics and Management, Beijing University of Chemical Technology, Beijing, China

2. College of Management and Economics, Tianjin University, Tianjin, China

3. School of Finance, Zhejiang University of Finance & Economics, Hangzhou, China

4. College of Economics, Shenzhen University, Shenzhen, China

Funder

National Natural Science Foundation of China

Government Fund of Guangdong Province

National Social Science Foundation of China

Publisher

Informa UK Limited

Subject

General Economics, Econometrics and Finance,Finance

Link

https://www.tandfonline.com/doi/pdf/10.1080/1540496X.2020.1825935

Reference38 articles.

1. K competing queues with geometric service requirements and linear costs: The μc-rule is always optimal

2. Imputations of Missing Values in Practice: Results from Imputations of Serum Cholesterol in 28 Cohort Studies

3. Evaluating One-Hot Encoding Finite State Machines for SEU Reliability in SRAM-based FPGAs

4. A Study of Hybrid Neural Network Approaches and the Effects of Missing Data on Traffic Forecasting

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