A New Approach to Predict user Mobility Using Semantic Analysis and Machine Learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)
Link
http://link.springer.com/article/10.1007/s10916-017-0837-x/fulltext.html
Reference32 articles.
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3. Papandrea, M., and Giordano, S., Location prediction and mobility modelling for enhanced localization solution. J. Ambient. Intell. Humaniz. Comput. 5(3):279–295, 2014.
4. Comito, C., Falcone, D., and Talia, D., Mining human mobility patterns from social geo-tagged data. Pervasive Mob. Comput. 33:91–107, 2016.
5. Etter, V., Kafsi, M., Kazemi, E., Grossglauser, M., and Thiran, P., Where to go from here? Mobility prediction from instantaneous information. Pervasive Mob. Comput. 9.6:784–797, 2013.
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