Bitte warten...
Bitte warten...
English
Hilfe
Login
Forschungsportal
Suche
Forschungsprofile
Forschungsprojekte
Projektvollmacht
Lehre
Forschung
Organisation
COST Aktion IC0903
26.06.2009 - 26.10.2013
Auftragsforschungsprojekt
This Action aims to build a network for collaboration that leads to the improvement of ICT methods for knowledge extraction from massive amounts of data about moving objects. This knowledge is essential to substantiate decision making in public and private sectors. Moving object data typically include trajectories of concrete objects (e.g. humans, vehicles, animals, and goods), as well as trajectories of abstract concepts (e.g. spreading diseases). While movement records are nowadays generated in huge volumes, methods for extracting useful information are still immature, due to fragmentation of research and lack of comprehensiveness from monodisciplinary approaches. Overcoming these limitations calls for COST-like networking. In response to a strong expression of interest from the academic, industrial, and user communities, this Action will empower the development of substantial and widely applicable methods in mobility analysis, focusing on representation and analysis of movement, including spatio-temporal data mining, and visual analytics. Results will be demonstrated through showcases for decision makers. Researchers from various subdomains in computer and geographic information sciences will join domain specialists from a broad range of relevant applications, from courier services and transportation to ecology, and epidemiology, among others. This will make Europe a central stakeholder in an emerging key domain.
Personen
Projektleiter_in
Andreas Frank
(E120)
Institut
E120 - Department für Geodäsie und Geoinformation
Auftrag/Kooperation
European Science Foundation ESF
Schlagwörter
Deutsch
Englisch
Bewegungsmusster
movement patterns
Datenbanken für dynamische Objekte
moving object databases
spatio-temporal data mining
spatio-temporal data mining
visual analytics
visual analytics
Referenzdatensätze
reference datasets
Publikationen
Publikationsliste