Meifang Chen
Biographic Data
| ID | 9965677 |
|---|---|
| NAME | Meifang Chen |
| GIVEN NAMES | Meifang |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN M |
| AFFILIATIONS | The University of Texas at Dallas |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
ChatGPT in education
A Machine Learning Approach Using Spatially Explicit K-Nearest Neighbors for House Price Predictions
Spatial data has distinctive properties that differentiate it from non-spatial data. One prominent characteristic is spatial autocorrelation (SA). When machine learning techniques are applied for spatial data modeling, they require spatially explicit consideration. If these inherent spatial structures are ignored, models may produce biased predictions. However, integrating this property into the model yields additional spatial insight, thereby en…
No prominent works on this page.
ChatGPT in education
A Machine Learning Approach Using Spatially Explicit K-Nearest Neighbors for House Price Predictions
Spatial data has distinctive properties that differentiate it from non-spatial data. One prominent characteristic is spatial autocorrelation (SA). When machine learning techniques are applied for spatial data modeling, they require spatially explicit consideration. If these inherent spatial structures are ignored, models may produce biased predictions. However, integrating this property into the model yields additional spatial insight, thereby en…
Artificial neural network (1 work) · Autocorrelation (1 work) · House price (1 work) · Housing Market and Economics (1 work) · Regional Economics and Spatial Analysis (1 work) · Spatial analysis (1 work) · Spatial and Panel Data Analysis (1 work)