PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Corona N., Giannotti F., Monreale A., Trasarti R. On predicting future location of moving objects: a state of art. Davy Janssens, Ansar-Ul-Haque Yasar, Luk Knapen (eds.). (Advances in data mining and database management (ADMDM) book series). Hershey, Pennsylvania, USA: IGI Global, 2014.
 
 
Abstract
(English)
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.
URL: http://www.igi-global.com/chapter/on-predicting-the-future-locations-of-moving-objects/90064
DOI: 10.4018/978-1-4666-4920-0.ch002
Subject Privacy
Distributed systems
Mobility
K.4.1 Public Policy Issues. Privacy
H.2.8 Database Applications. Spatial databases and GIS


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