Proceedings of the Third ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data

Querying and mining uncertain data has received a lot of attention from the research community in recent years due to the enormous increase of geographically referenced data occasioned by developments in IT, digital mapping and remote sensing. The global expansion of Geo Information Systems emphasizes the importance of developing data driven inductive approaches to geographical analysis and modeling. An important problem is that collected data often is inherently imprecise and may contain incomplete, inaccurate or outdated information. Such data arises particular in dynamic environments. Traditional querying and mining approaches are often inapplicable or may extract misleading or plain wrong information when applied to uncertain data.