Zhudi Han. (2025). Optimization of Rural Governance Resource Allocation Based on Data Mining: an Analysis Using Support Vector Machine Algorithm. 2025 International Conference on Algorithm, Artificial Intelligence and Computer Vision (AAICV), 1-6. https://doi.org/10.1109/aaicv66571.2025.00019
ISO-690 (author-date, English)ZHUDI HAN, 2025. Optimization of Rural Governance Resource Allocation Based on Data Mining: an Analysis Using Support Vector Machine Algorithm. 2025 International Conference on Algorithm, Artificial Intelligence and Computer Vision (AAICV). 21 März 2025. P. 1-6. DOI 10.1109/aaicv66571.2025.00019.
Modern Language Association 9th editionZhudi Han. „Optimization of Rural Governance Resource Allocation Based on Data Mining: An Analysis Using Support Vector Machine Algorithm“. 2025 International Conference on Algorithm, Artificial Intelligence and Computer Vision (AAICV), März 2025, S. 1-6, https://doi.org/10.1109/aaicv66571.2025.00019.
Mohr Siebeck - Recht (Deutsch - Österreich)Zhudi Han: Optimization of Rural Governance Resource Allocation Based on Data Mining: an Analysis Using Support Vector Machine Algorithm, 2025 International Conference on Algorithm, Artificial Intelligence and Computer Vision (AAICV) 2025, 1-6.
Emerald - HarvardZhudi Han. (2025), „Optimization of Rural Governance Resource Allocation Based on Data Mining: an Analysis Using Support Vector Machine Algorithm“, 2025 International Conference on Algorithm, Artificial Intelligence and Computer Vision (AAICV), S. 1-6.