By combining automatic environment sensing and experimental data collection with broker based messaging middleware, a system has been produced for the real-time monitoring of expe...
Jamie M. Robinson, Jeremy G. Frey, Andy J. Stanfor...
A significant number of emerging on-line data analysis applications require the processing of data streams, large amounts of data that get updated continuously, to generate output...
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
With the falling price of the memory, an increasing number of multimedia servers and proxies are now equipped with a large memory space. Caching media objects in the memory of a p...
In data stream processing systems, Quality of Service (or QoS) requirements, as specified by users, are extremely important. Unlike in a database management system (DBMS), a query...