From movement tracks through events to places: extracting and characterizing significant places from mobility data (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• From movement tracks through events to places: extracting and characterizing significant places from mobility data (Contributo in atti di convegno) (literal)

Anno

• 2011-01-01T00:00:00+01:00 (literal)

Alternative label

• Andrienko, Gennady; Andrienko, Natalia; Hurter, Christophe; Rinzivillo, Salvatore; Wroebel, Stefan (2011)
  From movement tracks through events to places: extracting and characterizing significant places from mobility data
  in IEEE Conference on Visual Analytics Science and Technology, VAST 2011, Providence, Rhode Island, October 23 -28 2011
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Andrienko, Gennady; Andrienko, Natalia; Hurter, Christophe; Rinzivillo, Salvatore; Wroebel, Stefan (literal)

Pagina inizio

• 161 (literal)

Pagina fine

• 170 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni

• Area di valutazione 01 - Scienze matematiche e informatiche (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume

• IEEE Conference on Visual Analytics Science and Technology 2011 (literal)

Note

• Scopu (literal)
• PuMa (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Fraunhofer IAIS Sankt, Augustin, Germany; DGAC/DTI R&D, ENAC and the University of Toulouse, France; CNR-ISTI, Pisa (literal)

Titolo

• From movement tracks through events to places: extracting and characterizing significant places from mobility data (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 978-1-4673-0013-1 (literal)

Abstract

• We propose a visual analytics procedure for analyzing movement data, i.e., recorded tracks of moving objects. It is oriented to a class of problems where it is required to determine significant places on the basis of certain types of events occurring repeatedly in movement data. The procedure consists of four major steps: (1) event extraction from trajectories; (2) event clustering and extraction of relevant places; (3) spatio-temporal aggregation of events or trajectories; (4) analysis of the aggregated data. All steps are scalable with respect to the amount of the data under analysis. We demonstrate the use of the procedure by example of two real- world problems requiring analysis at different spatial scales. (literal)

Editore

• IEEE Computer Society (Editore)

Prodotto di

• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)
• Knowledge Discovery and Data Mining (ICT.P08.009.003) (Modulo)

Autore CNR

• SALVATORE RINZIVILLO (Persona)

Insieme di parole chiave

• Parole chiave di "From movement tracks through events to places: extracting and characterizing significant places from mobility data" (Insieme di parole chiave)

Incoming links:

Prodotto

• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)
• Knowledge Discovery and Data Mining (ICT.P08.009.003) (Modulo)

Autore CNR di

• SALVATORE RINZIVILLO (Persona)

Editore di

• IEEE Computer Society (Editore)

Insieme di parole chiave di

• Parole chiave di "From movement tracks through events to places: extracting and characterizing significant places from mobility data" (Insieme di parole chiave)