2010 | OriginalPaper | Buchkapitel
Exploring Real Mobility Data with M-Atlas
verfasst von : R. Trasarti, S. Rinzivillo, F. Pinelli, M. Nanni, A. Monreale, C. Renso, D. Pedreschi, F. Giannotti
Erschienen in: Machine Learning and Knowledge Discovery in Databases
Verlag: Springer Berlin Heidelberg
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Research on moving-object data analysis has been recently fostered by the widespread diffusion of new techniques and systems for monitoring, collecting and storing location aware data, generated by a wealth of technological infrastructures, such as GPS positioning and wireless networks. These have made available massive repositories of spatio-temporal data recording human mobile activities, that call for suitable analytical methods, capable of enabling the development of innovative, location-aware applications [3].