Spatiotemporal Data Mining (Contributo in volume (capitolo o saggio))

Type
Label
  • Spatiotemporal Data Mining (Contributo in volume (capitolo o saggio)) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Alternative label
  • Nanni M.; Pedreschi D. (2007)
    Spatiotemporal Data Mining
    Springer-Verlag, Berlin Heidelberg, 2007
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Nanni M.; Pedreschi D. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#citta
  • Berlin Heidelberg (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • In: Mobility, Data Mining and Privacy: Geographic Knowledge Discovery. pp. 267 - 295. F. Giannotti, D. Pedreschi (eds.). Springer-Verlag, 2007. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
  • After the introduction and development of the relational database model between 1970 and the 1980s, this model proved to be insufficiently expressive for specific applications dealing with, for instance, temporal data, spatial data and multi-media data. From the mid-1980s, this has led to the development of domain-specific database systems, the first being temporal databases, later followed by spatial database systems. In the area of data mining, we have seen a similar development. Many data mining techniques - such as frequent set and association rule mining, classification, prediction and clustering - were first developed for typical alpha-numerical business data. From the second half of the 1990s, these techniques were studied for temporal and spatial data and sometimes specific, previously well studied, techniques such as time-series analysis were introduced in the data mining field. For an overview of mining techniques in spatial and geographic data, we refer to Chap. 9. (literal)
Titolo
  • Spatiotemporal Data Mining (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#inCollana
  • Mobility, Data Mining and Privacy: Geographic Knowledge Discovery (literal)
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