Libro
A Proposal for Outlier and Noise Detection in Public Official's Affidavits
Una propuesta para la detección de datos anómalos y ruido en declaraciones juradas públicas
Autor
López-Pablos, Rodrigo
Kuna, Horacio Daniel
Pesado, Patricia Mabel
Estayno, Marcelo Gustavo
Piccoli, María Fabiana
Institución
Resumen
Outlier and noise detection processes are highly useful in the quality assessment of any kind of database. Such processes may have novel civic and public applications in the detection of anomalies in public data. The purpose of this work is to explore the possibilities of experimentation with, validation and application of hybrid outlier and noise detection procedures in public officials' affidavit systems currently available in Argentina. Red de Universidades con Carreras en Informática