RT book part
T1 An Application Sample of Machine Learning Tools, Such as SVM and ANN, for Data Editing and Imputation
A1 Silva Ramírez, Esther Lydia
A1 López Coello, Manuel
A1 Pino-Mejías, Rafael
A2 Ingeniería Informática
AB This chapter presents studies about the data imputation to estimate missing values, and the Data Editing and Imputation process to identify and correct values erroneously. Artificial Neural Networks and Support Vector Machines are trained as Machine Learning techniques on real and simulated data sets obtaining a complete data set what help to improve the quality of the variables that define the official indicators of the eight Millennium Development Goals.
PB Springer
YR 2017
FD 2017
LK http://hdl.handle.net/10498/34223
UL http://hdl.handle.net/10498/34223
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 06-nov-2026