Analysis of missing data and comparing the accuracy of imputation methods using wheat crop data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17178-9.pdf
Reference74 articles.
1. Khan SI, Hoque ASML (2020) SICE: an improved missing data imputation technique. J Big Data 7:37. https://doi.org/10.1186/s40537-020-00313-w
2. Jadhav A, Pramod D, Ramanathan K (2019) Comparison of Performance of Data Imputation Methods for Numeric Dataset. Appl Artif Intell 33:913–933. https://doi.org/10.1080/08839514.2019.1637138
3. Chhabra G, Vashisht V, Ranjan J (2019) A Review on Missing Data Value Estimation Using Imputation Algorithm. J Dyn Control Syst 11:312–318
4. Zhang Z (2015) Missing values in big data research: some basic skills. Ann Transl Med 3:21. https://doi.org/10.3978/j.issn.2305-5839.2015.12.11
5. Kwak SK, Kim JH (2017) Statistical data preparation: management of missing values and outliers. Korean J Anesthesiol 70(4):407–411. https://doi.org/10.4097/kjae.2017.70.4.407
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