Towards a cloud-based framework for urban computing. The trajectory analysis case (Contributo in atti di convegno)

Type

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

Label

• Towards a cloud-based framework for urban computing. The trajectory analysis case (Contributo in atti di convegno) (literal)

Anno

• 2013-01-01T00:00:00+01:00 (literal)

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

• 10.1109/CGC.2013.11 (literal)

Alternative label

• Cesario, Eugenio; Comito, Carmela; Talia, Domenico (2013)
  Towards a cloud-based framework for urban computing. The trajectory analysis case
  in 2013 International Conference on Cloud and Green Computing
  (literal)

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

• Cesario, Eugenio; Comito, Carmela; Talia, Domenico (literal)

Pagina inizio

• 16 (literal)

Pagina fine

• 23 (literal)

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

• http://www.scopus.com/record/display.url?eid=2-s2.0-84893340400&origin=inward (literal)

Note

• Scopu (literal)

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

• ICAR-CNR; ICAR-CNR; Universita della Calabria (literal)

Titolo

• Towards a cloud-based framework for urban computing. The trajectory analysis case (literal)

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

• 9780769551142 (literal)

Abstract

• In this paper we present a Cloud-based framework for urban computing that can be tailored to be used in different scenarios of urban planning and management that can occur in smart cities. The focus in the paper is on the management of large-scale socio-geographic data obtained through the trajectories followed by mobile devices. Our goal is to mine human activities and routines from this socio-geographic data in order to catch user's behaviour. To this aim, we introduce a methodology for trajectory pattern mining consisting in (a) finding frequent regions, more densely passed through ones, and (b) extracting trajectory patterns from those regions. Experimental evaluation shows that due to complexity and large data involved in the application scenario, the trajectory pattern mining process can take advantage from a parallel execution environment offered by a Cloud architecture. © 2013 IEEE. (literal)

Prodotto di

• Institute for high performance computing and networking (ICAR) (Istituto)

Autore CNR

• EUGENIO CESARIO (Unità di personale interno)
• CARMELA COMITO (Unità di personale interno)
• DOMENICO TALIA (Persona)

Incoming links:

Prodotto

• Institute for high performance computing and networking (ICAR) (Istituto)

Autore CNR di

• EUGENIO CESARIO (Unità di personale interno)
• DOMENICO TALIA (Persona)
• CARMELA COMITO (Unità di personale interno)