Large sensor networks are being widely deployed for measurement, detection, and monitoring applications. Many of these applications involve database systems to store and process d...
We investigate the use of an unsupervised artificial neural network to form a sparse representation of the underlying causes in a data set. By using fixed lateral connections that...
Database outsourcing is an important emerging trend which involves data owners delegating their data management needs to an external service provider. Since a service provider is a...
In this paper, we propose an entity-based style of queries for semistructured data. First, we partition a semistructured data into subgraphs corresponding to real-world entities, ...
The ever-increasing amount of data in biomedical research, and in cancer research in particular, needs to be managed to support efficient data access, exchange and integration. Exi...