TY  - GEN 
AU  - Terroso Saenz, Fernando
AU  - Flores, Raúl
AU  - Muñoz Ortega, Andrés
A4  - Ingeniería Informática
PY  - 2022
SN  - 0957-4174;1873-6793
UR  - http://hdl.handle.net/10498/36911
AB  - One of the main lines of research in the discipline of mobility mining is the development of predictors able  to anticipate human travel behaviour in great detail. However, access to the high-resolution spatio-temporal data on which most existing...
LA  - eng
PB  - Elsevier
KW  - Machine learning
KW  - Human mobility
KW  - Prediction model
KW  - Online social network
KW  - Twitter
TI  - Human mobility forecasting with region-based flows and geotagged Twitter data
DO  - 10.1016/j.eswa.2022.117477
ER  -