Human Mobility Prediction Based on Social Media with Complex Event Processing
The combination of mobile and social media sensors is foreseen to become a crucial course of action so as to comprehensively capture and understand the movement of people in large spatial regions. In that sense, the present work describes a novel personal location predictor that makes use of these t...
Saved in:
| Main Authors: | Fernando Terroso-Sáenz, Jesús Cuenca-Jara, Aurora González-Vidal, Antonio F. Skarmeta |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-08-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/155014775836392 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Transfer and deep learning models for daily reference evapotranspiration estimation and forecasting in Spain from local to national scale
by: Yu Ye, et al.
Published: (2025-08-01) -
Artificial intelligence for streamflow prediction in river basins: a use case in Mar Menor
by: Alejandro Cisterna-García, et al.
Published: (2025-06-01) -
Efficient Complex Event Processing over RFID Streams
by: Kyoung Soo Bok, et al.
Published: (2012-03-01) -
Human Mobility Datasets in the Complex Metro System of Shanghai
by: Peiyan Sun, et al.
Published: (2025-06-01) -
New parallel processing strategies in complex event processing systems with data streams
by: Fuyuan Xiao, et al.
Published: (2017-08-01)