[HTML][HTML] Missing value imputation affects the performance of machine learning: A review and analysis of the literature (2010–2021)
Recently, numerous studies have been conducted on Missing Value Imputation (MVI),
intending the primary solution scheme for the datasets containing one or more missing …
intending the primary solution scheme for the datasets containing one or more missing …
Deep learning for missing value imputation of continuous data and the effect of data discretization
WC Lin, CF Tsai, JR Zhong - Knowledge-Based Systems, 2022 - Elsevier
Often real-world datasets are incomplete and contain some missing attribute values.
Furthermore, many data mining and machine learning techniques cannot directly handle …
Furthermore, many data mining and machine learning techniques cannot directly handle …
Multiple imputation method of missing credit risk assessment data based on generative adversarial networks
F Zhao, Y Lu, X Li, L Wang, Y Song, D Fan… - Applied Soft …, 2022 - Elsevier
Credit risk assessment is critical for loan approval and risk management of banks. However,
the problem of missing credit risk data may greatly reduce the effectiveness of the …
the problem of missing credit risk data may greatly reduce the effectiveness of the …
Discrete missing data imputation using multilayer perceptron and momentum gradient descent
H Pan, Z Ye, Q He, C Yan, J Yuan, X Lai, J Su, R Li - Sensors, 2022 - mdpi.com
Data are a strategic resource for industrial production, and an efficient data-mining process
will increase productivity. However, there exist many missing values in data collected in real …
will increase productivity. However, there exist many missing values in data collected in real …
Applications of AI and IoT in COVID-19 vaccine and its impact on social life
COVID-19 illness has been recognized as an International Public Health Emergency
(PHEIC). According to the World Health Organization (WHO), more than 200 countries …
(PHEIC). According to the World Health Organization (WHO), more than 200 countries …
Users opinion and emotion understanding in social media regarding COVID-19 vaccine
Online social platforms or social platforms such as Twitter, Facebook and Instagram have
become popular platforms for a public discussion about social topics. Recent studies show …
become popular platforms for a public discussion about social topics. Recent studies show …
Climate Data Imputation and Quality Improvement Using Satellite Data
Combating climate change has emerged as a global concern recently, and meteorological
data remain an important measure for analyzing and predicting climate trends. However …
data remain an important measure for analyzing and predicting climate trends. However …
[HTML][HTML] SARIMA model-based forecasting required number of COVID-19 vaccines globally and empirical analysis of peoples' view towards the vaccines
Recent studies regarding COVID-19 show a growing tendency to talk about the COVID-19
Pandemic on online channels. With the recent release of the Pfizer vaccine of COVID-19 …
Pandemic on online channels. With the recent release of the Pfizer vaccine of COVID-19 …
[HTML][HTML] Temporal and spatial satellite data augmentation for deep learning-based rainfall nowcasting
The significance of improving rainfall prediction methods has escalated due to climate
change-induced flash floods and severe flooding. In this study, rainfall nowcasting has been …
change-induced flash floods and severe flooding. In this study, rainfall nowcasting has been …
[HTML][HTML] Transformer network for data imputation in electricity demand data
Load forecasting necessitates a significant amount of smart meter data. Several elements in
this process, including device malfunctions and signal transmission issues, produce missing …
this process, including device malfunctions and signal transmission issues, produce missing …