A machine learning approach for nominative record linkage in Chinese historical databases
Datos Bibliográficos
| ID | 11253258 |
|---|---|
| Autores | Yue Yu (0000-0003-3991-964X, Division of Emerging Interdisciplinary Areas, The Hong Kong University of Science and Technology, autor de correspondencia), Yueran Hou (0009-0006-9544-6874, Division of Social Science, The Hong Kong University of Science and Technology), Yibei Wu (0009-0000-0532-0554, Shanghai Jiao Tong University), Cameron Campbell (0000-0001-6277-1941, Division of Social Science, The Hong Kong University of Science and Technology) |
| Año | 2026 |
| Páginas | 1-18 |
| Fecha de publicación | 2026-03-26 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Historical Methods A Journal of Quantitative and Interdisciplinary History (JOURNAL) |
| Identificadores de la revista | ISSN: 0161-5440 • E-ISSN: 1940-1906 |
| Editorial | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/01615440.2026.2641454 |
| OpenAlex | W7140848675 |
| Idioma | EN |
| Referencias citadas | 24 |
Historical record · Linkage (software · Nominative case · Record linkage · Data Quality and Management · Information Retrieval and Search Behavior · Topic Modeling
From Louvain to Leiden
Big Data for the Study of Qing Officialdom
Nominative Linkage of Records of Officials in the China Government Employee Dataset-Qing (CGED-Q)
Mourning in Late Imperial China
Linking individuals across historical sources
New Sources for Comparative Social Science
Combining family history and machine learning to link historical records
Record linkage for character-based surnames
Historical Census Record Linkage
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |