Techniques that emphasize software reuse and scalability are becoming more important than ever. In this paper we present a component-basedmodel for continuous-mediaapplications. C...
Standard pattern discovery techniques, such as association rules, suffer an extreme risk of finding very large numbers of spurious patterns for many knowledge discovery tasks. The...
Abstract Large temporal Databases (TDBs) usually contain a wealth of data about temporal events. Aimed at discovering temporal patterns with during relationship (during-temporal pa...
Many applications refer to moving objects or phenomena and require spatio-temporal modelling and specific analysis. Unlike conventional data where attributes are simple values (nu...
Abstract. This paper presents a method to describe the operational semantics of languages based on their meta-model. We combine the established high-level modelling languages MOF, ...