One issue for context-aware applications is to identify without delay situations requiring reactions. The identification of these situations is computed from both dynamic context ...
Abstract--This paper presents a dynamic predictiveoptimization framework of a nonlinear temporal process. Datamining (DM) and evolutionary strategy algorithms are integrated in the...
Managing uncertain data using probabilistic frameworks has attracted much interest lately in the database literature, and a central computational challenge is probabilistic infere...
Creating comprehensive simulation models can be expensive and time consuming. This paper discusses our efforts to develop a general methodology that will allow users to quickly an...
Remote sensing applications often concern very large volumes of spatio-temporal data, the emerging Grid computing technologies bring an effective solution to this problem. The Open...