Predicting the location of mobile users: A machine learning approach
Authors: Anagnostopoulos, Theodoros 
Anagnostopoulos, Christos 
Kyriakakos, Miltos 
Kalousis, Alexandros 
Hadjiefthymiades, Stathes 
Issue Date: 1-Jan-2009
Conference: International Conference on Pervasive Services (ICPS '09), 13-17 July 2009, London, United Kindom 
Book: Proceedings of the International Conference on Pervasive Services (ICPS '09) 
Keywords: Context-awareness, Location prediction, Machine learning, Spatial context representation
Abstract: 
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 predicted and properly exploited by mobile applications. We propose a spatial context model, which deals with the location prediction of mobile users. Such model is used for the classification of the users' trajectories thr...
ISBN: 978-1-60558-644-1
DOI: 10.1145/1568199.1568210
URI: https://uniwacris.uniwa.gr/handle/3000/2721
Type: Conference Paper
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου

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