Predicting the location of mobile users: a machine learning approach
T Anagnostopoulos, C Anagnostopoulos… - Proceedings of the …, 2009 - dl.acm.org
Mobile context-aware applications experience a constantly changing environment with
increased dynamicity. In order to work efficiently, the location of mobile users needs to be …
increased dynamicity. In order to work efficiently, the location of mobile users needs to be …
[PDF][PDF] Predicting the Location of Mobile Users: A Machine Learning Approach
C Anagnostopoulos, S Hadjiefthymiades, M Kyriakakos… - 2009 - researchgate.net
Mobile context-aware applications experience a constantly changing environment with
increased dynamicity. In order to work efficiently, the location of mobile users needs to be …
increased dynamicity. In order to work efficiently, the location of mobile users needs to be …
Predicting the location of mobile users
T Anagnostopoulos, C Anagnostopoulos… - 2009 - eprints.gla.ac.uk
Mobile context-aware applications experience a constantly changing environment with
increased dynamicity. In order to work efficiently, the location of mobile users needs to be …
increased dynamicity. In order to work efficiently, the location of mobile users needs to be …
[PDF][PDF] Predicting the Location of Mobile Users: A Machine Learning Approach
C Anagnostopoulos, S Hadjiefthymiades, M Kyriakakos… - 2009 - academia.edu
Mobile context-aware applications experience a constantly changing environment with
increased dynamicity. In order to work efficiently, the location of mobile users needs to be …
increased dynamicity. In order to work efficiently, the location of mobile users needs to be …