APPEARED IN ACM PODS-2009. A sliding windows model is an important case of the streaming model, where only the most "recent" elements remain active and the rest are disc...
Vladimir Braverman, Rafail Ostrovsky, Carlo Zaniol...
Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...
To build a web-based virtual learning environment depends on information technologies, concerns technology supporting learning methods and theories. A web-based virtual online cla...
This paper addresses the design and use of distributed pipelines for automated processing of sensor data streams. In particular, we focus on the detection and extraction of meanin...
Eric P. Kasten, Philip K. McKinley, Stuart H. Gage
As data stream management systems (DSMSs) become more and more popular, there is an increasing need to protect such systems from adversaries. In this paper we present an approach ...