Location prediction through trajectory pattern mining (Contributo in atti di convegno)

Type
Label
  • Location prediction through trajectory pattern mining (Contributo in atti di convegno) (literal)
Anno
  • 2010-01-01T00:00:00+01:00 (literal)
Alternative label
  • Monreale A.; Pinelli F.; Trasarti R.; Giannotti F. (2010)
    Location prediction through trajectory pattern mining
    in 18th Italian Symposium on Advanced Database Systems, Rimini, Italy
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Monreale A.; Pinelli F.; Trasarti R.; Giannotti F. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • In: SEBD 2010 - 18th Italian Symposium on Advanced Database Systems (Rimini, Italy, 20-23 June 2010). Atti, pp. 134 - 141. Sonia Bergamaschi, Stefano Lodi, Riccardo Martoglia, Claudio Sartori (eds.). Società Editrice Esculapio, 2010. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
  • ABSTRACT: The pervasiveness of mobile devices and location based services produces as side effects an increasing volume of mobility data which in turn create the opportunity for a novel generation of analysis methods of movements behaviors. In this paper, we propose a method WhereNext aimed at predicting with a certain accuracy the next location of a moving object. The prediction uses previously extracted movement patterns named Trajectory Pattern which are a concise representation of behaviors of moving objects as sequences of regions frequently visited with typical travel time. A decision tree, named T-pattern Tree, is built and evaluated with a formal training and test process. Using Trajectory Patterns as predictive rules has the following implications: (I) the learning depends by the movement of all available objects in a certain area instead by the individual history of an object; (II) the prediction tree intrinsically contains the spatio-temporal properties emerged from th (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Computer Engineering Department, University of Pisa, CNR-ISTI, Pisa (literal)
Titolo
  • Location prediction through trajectory pattern mining (literal)
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