Cheong Kim
Biographic Data
| ID | 7453126 |
|---|---|
| NAME | Cheong Kim |
| GIVEN NAMES | Cheong |
| FAMILY NAME | Kim |
| SIGNATURE | KIM C |
| AFFILIATIONS | Sungkyunkwan University |
| ORCID | 0000-0002-3230-4637 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Online review data analytics to explore factors affecting consumers’ airport recommendations
Purpose The main objective of this study is to determine the factors that have the greatest impact on travelers' opinions of airports. Design/methodology/approach 11,656 customer reviews for 649 airports around the world were gathered following the COVID-19 outbreak from the website that rates airport quality. The dataset was examined using hierarchical regression, PLS-SEM, and the unsupervised Bayesian algorithm-based PSEM in order to verify the…
The correlation of leaders’ negative emotions and the moderating effect of temporal diversity on team members’ creativity and performance in South Korean ICT service companies
Exploring a Fuzzy Rule Inferred ConvLSTM for Discovering and Adjusting the Optimal Posture of Patients with a Smart Medical Bed
Several countries nowadays are facing a tough social challenge caused by the aging population. This public health issue continues to impose strain on clinical healthcare, such as the need to prevent terminal patients' pressure ulcers. Provocative approaches to resolve this issue include health information technology (HIT). In this regard, this paper explores one technological solution based on a smart medical bed (SMB). By integrating a convoluti…
Predicting Factors Affecting Adolescent Obesity Using General Bayesian Network and What-If Analysis
With the remarkable improvement in people's socioeconomic living standards around the world, adolescent obesity has increasingly become an important public health issue that cannot be ignored. Thus, we have implemented its use in an attempt to explore the viability of scenario-based simulations through the use of a data mining approach. In doing so, we wanted to explore the merits of using a General Bayesian Network (GBN) with What-If analysis wh…
No prominent works on this page.
Predicting Factors Affecting Adolescent Obesity Using General Bayesian Network and What-If Analysis
With the remarkable improvement in people's socioeconomic living standards around the world, adolescent obesity has increasingly become an important public health issue that cannot be ignored. Thus, we have implemented its use in an attempt to explore the viability of scenario-based simulations through the use of a data mining approach. In doing so, we wanted to explore the merits of using a General Bayesian Network (GBN) with What-If analysis wh…
Exploring a Fuzzy Rule Inferred ConvLSTM for Discovering and Adjusting the Optimal Posture of Patients with a Smart Medical Bed
Several countries nowadays are facing a tough social challenge caused by the aging population. This public health issue continues to impose strain on clinical healthcare, such as the need to prevent terminal patients' pressure ulcers. Provocative approaches to resolve this issue include health information technology (HIT). In this regard, this paper explores one technological solution based on a smart medical bed (SMB). By integrating a convoluti…
The correlation of leaders’ negative emotions and the moderating effect of temporal diversity on team members’ creativity and performance in South Korean ICT service companies
Online review data analytics to explore factors affecting consumers’ airport recommendations
Purpose The main objective of this study is to determine the factors that have the greatest impact on travelers' opinions of airports. Design/methodology/approach 11,656 customer reviews for 649 airports around the world were gathered following the COVID-19 outbreak from the website that rates airport quality. The dataset was examined using hierarchical regression, PLS-SEM, and the unsupervised Bayesian algorithm-based PSEM in order to verify the…
Computer Science (3 works) · Environmental health (2 works) · Medicine (2 works) · Population (2 works) · Psychology (2 works) · Adolescent health (1 work) · Analytics (1 work) · Applied Psychology (1 work) · Artificial Intelligence (1 work) · Aviation Industry Analysis and Trends (1 work)