Data Stream Management Systems are useful when large volumes of data need to be processed in real time. Examples include monitoring network traffic, monitoring financial transacti...
Theodore Johnson, S. Muthukrishnan, Vladislav Shka...
Abstract. The increasing availability of automated data collection tools, database technologies and Information and Communication Technologies in biomedicine and health care have l...
Stefano Bonacina, Marco Masseroli, Francesco Pinci...
Background: The variety of DNA microarray formats and datasets presently available offers an unprecedented opportunity to perform insightful comparisons of heterogeneous data. Cro...
Collaborative distance learning involves a variety of elements and factors that have to be considered and measured in order to analyse and assess group and individual performance m...
In this paper, we propose a new scalable application-layer protocol, specifically designed for data streaming applications with large client sets. This is based upon a control hie...
Panayotis E. Fouliras, Spiros Xanthos, Nikolaos Ts...