Exploring real mobility data with M-Atlas (Contributo in atti di convegno)

Type
Label
  • Exploring real mobility data with M-Atlas (Contributo in atti di convegno) (literal)
Anno
  • 2010-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/978-3-642-15939-8_48 (literal)
Alternative label
  • Trasarti R., Rinzivillo S., Pinelli F., Nanni M., Monreale A., Renso C., Pedreschi D., Giannotti F. (2010)
    Exploring real mobility data with M-Atlas
    in ECML PKDD 2010 - Machine Learning and Knowledge Discovery in Databases. European Conference, Barcelona, Spain, 20-24 September 2010
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Trasarti R., Rinzivillo S., Pinelli F., Nanni M., Monreale A., Renso C., Pedreschi D., Giannotti F. (literal)
Pagina inizio
  • 624 (literal)
Pagina fine
  • 627 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.springerlink.com/content/31522g426qq80q11/ (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 6323 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 6323 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • In: ECML PKDD 2010 - Machine Learning and Knowledge Discovery in Databases. European Conference (Barcelona, Spain, 20-24 September 2010). Proceedings, vol. III pp. 624 - 627. José Luis Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag (eds.). (Lecture Notes in Artificial Intelligence, vol. 6323). Springer, 2010. (literal)
Note
  • Scopu (literal)
  • PuMa (literal)
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; Department of Computer Science, University of Pisa, Italy; CNR-ISTI, Pisa, Italy; Computer Science Department, University of Pisa, Italy, CNR-ISTI, Pisa, Italy (literal)
Titolo
  • Exploring real mobility data with M-Atlas (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-3-642-15939-8 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • José Luis Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag (literal)
Abstract
  • Research on moving-object data analysis has been recently fostered by the widespread diffusion of new techniques and systems for monitoring, collecting and storing loca- tion 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 applica- tions [3]. The M-Atlas is the evolution of the system presented in [5] allows to handle the whole knowledge discovery process from mobility data. The analysis capabilities of M-Atlas system have been applied onto a massive real life GPS dataset, obtained from 17,000 vehicles with on-board GPS receivers under a specific car insurance contract, tracked during one week of ordinary mobile activity in the urban area of the city of Milan; the dataset contains more than 2 million observations leading to a set of more than 200,000 trajectories. (literal)
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