O desafio do pareamento de grandes bases de dados: Mapeamento de métodos de record linkage probabilístico e diagnóstico de sua viabilidade empírica

Arbeitspapier

This paper verified the predictive performance of probabilistic record linkage algorithms for the integration big sized real databases, evaluating the effects of the blocking key definition, as well as string metric functions and phonetic code pairing algorithms with respect to the prediction's quality and computational complexity. A bibliographical survey of the main deterministic and probabilistic record linkage methods was carried out, as well as of recent advances combining machine learning techniques and main packages and implementations available in open-source R language. The results can provide heuristics for problems of administrative records integration at national level and have potential value for the formulation and evaluation of public policies

Object Details

• Language: Portugiesisch

References and Relationships

• Bibliographic citation: Series: Texto para Discussão ; No. 2420

Classification and Topics

• Classification: Wirtschaft ; Model Evaluation, Validation, and Selection ; Large Data Sets: Modeling and Analysis ; Miscellaneous Mathematical Tools ; Data Collection and Data Estimation Methodology; Computer Programs: General ; Data Collection and Data Estimation Methodology; Computer Programs: Other Computer Software
• Subject: pairs linking ; blocking ; administrative records ; Big Data

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Peng, Yaohao ; Mation, Lucas Ferreira
• Event: Veröffentlichung
• (who): Instituto de Pesquisa Econômica Aplicada (IPEA)
• (where): Brasília
• (when): 2018

Further information

• Handle: http://hdl.handle.net/10419/211367
• Last update: 10.03.2025, 11:43 AM CET