On predicting future location of moving objects: a state of art
Corona N., Giannotti F., Monreale A., Trasarti R.
Privacy Distributed systems Mobility
The pervasiveness of mobile devices and location-based services produces as side effects an increasing volume of mobility data, which in turn creates the opportunity for a novel generation of analysis methods of movement behaviors. In this chapter, the authors focus on the problem of predicting future locations aimed at predicting with a certain accuracy the next location of a moving object. In particular, they provide a classification of the proposals in the literature addressing that problem. Then the authors preset the data mining method WhereNext and finally discuss possible improvements of that method.
Source: Data Science and Simulation in Transportation Research, edited by Davy Janssens, Ansar-Ul-Haque Yasar, Luk Knapen. Hershey: IGI Global, 2014
Publisher: IGI Global, Hershey, USA
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@inbook{oai:it.cnr:prodotti:278616,
title = {On predicting future location of moving objects: a state of art},
author = {Corona N. and Giannotti F. and Monreale A. and Trasarti R.},
publisher = {IGI Global, Hershey, USA},
doi = {10.4018/978-1-4666-4920-0.ch002 and 10.4018/978-1-4666-9845-1.ch091},
booktitle = {Data Science and Simulation in Transportation Research, edited by Davy Janssens, Ansar-Ul-Haque Yasar, Luk Knapen. Hershey: IGI Global, 2014},
year = {2014}
}
0000-0003-3099-3835
