On predicting future location of moving objects: a state of art (Contributo in volume (capitolo o saggio))

Type
Label
  • On predicting future location of moving objects: a state of art (Contributo in volume (capitolo o saggio)) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.4018/978-1-4666-4920-0.ch002 (literal)
Alternative label
  • Corona N., Giannotti F., Monreale A., Trasarti R. (2014)
    On predicting future location of moving objects: a state of art
    IGI Global, Hershey (Stati Uniti d'America) in Data Science and Simulation in Transportation Research, 2014
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Corona N., Giannotti F., Monreale A., Trasarti R. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • Grant agreement: 270833 Tipo Progetto: EU_FP7 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Data Science and Simulation in Transportation Research (literal)
Note
  • PuMa (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Computer Science Department, University of Pisa, Italy; CNR-ISTI, Pisa, Italy; Computer Science Department, University of Pisa, Italy; CNR-ISTI, Pisa, Italy; (literal)
Titolo
  • On predicting future location of moving objects: a state of art (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 9781466649200 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Davy Janssens, Ansar-Ul-Haque Yasar, Luk Knapen (literal)
Abstract
  • 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. (literal)
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