Querying and Reasoning for Spatiotemporal Data Mining (Contributo in volume (capitolo o saggio))

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Label
  • Querying and Reasoning for Spatiotemporal Data Mining (Contributo in volume (capitolo o saggio)) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Alternative label
  • Giuseppe Manco, Miriam Baglioni, Fosca Giannotti, Bart Kuijpers,Alessandra Raffaetà, Chiara Renso (2007)
    Querying and Reasoning for Spatiotemporal Data Mining
    Springer-Verlag, Berlin (Germania) in Mobility, Data Mining, and Privacy, 2007
    (literal)
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  • Giuseppe Manco, Miriam Baglioni, Fosca Giannotti, Bart Kuijpers,Alessandra Raffaetà, Chiara Renso (literal)
Pagina inizio
  • 335 (literal)
Pagina fine
  • 374 (literal)
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  • Berlin Heidelberg (literal)
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  • Mobility, Data Mining, and Privacy (literal)
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  • In: Mobility, Data Mining and Privacy: Geographic Knowledge Discovery. pp. 335 - 374. F. Giannotti, D. Pedreschi (eds.). Springer-Verlag, 2007. (literal)
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  • In the previous chapters, we studied movement data from several perspectives: the application opportunities, the type of analytical questions, the modeling requirements, and the challenges for mining. Moreover, the complexity of the overall analysis process was pointed out several times. The analytical questions posed by the end user need to be translated into several tasks such as choose analysismethods, prepare the data for application of these methods, apply the methods to the data, and interpret and evaluate the results obtained. (literal)
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  • ICAR-CNR Dipartimento di Informatica Università di Pisa University of Hasselt Università di Venezia ISTi-CNR (literal)
Titolo
  • Querying and Reasoning for Spatiotemporal Data Mining (literal)
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  • Mobility, Data Mining and Privacy: Geographic Knowledge Discovery (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-3-540-75176-2 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • F. Giannotti and D. Pedreschi (literal)
Abstract
  • In the previous chapters, we studied movement data from several perspectives: the application opportunities, the type of analytical questions, the modeling requirements, and the challenges for mining. Moreover, the complexity of the overall analysis process was pointed out several times. The analytical questions posed by the end user need to be translated into several tasks such as choose analysismethods, prepare the data for application of these methods, apply the methods to the data, and interpret and evaluate the results obtained. (literal)
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