The inter-operability of multiple autonomous and heterogeneous data sources is an important issue in many applications such as mediation systems, datawarehouses, or web-based syst...
In solving the classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets sto...
To support the retrieval and fusion of multimedia information from multiple sources and databases, a spatial/temporal query language called ΣQL is proposed. ΣQL is based upon th...
Data warehouse modeling is a complex task, which involves knowledge of business processes of the domain of discourse, understanding the structural and behavioral system's con...
Biomedical scientists generate, access, validate and interpret multiple distributed and heterogeneous data sets. Semantic annotations for these data sets are paramount for exchang...