Frequent pattern mining on data streams is of interest recently. However, it is not easy for users to determine a proper frequency threshold. It is more reasonable to ask users to ...
Most recent research on querying and managing data streams has concentrated on traditional data models where the data come in the form of tuples or XML data. Complex types of strea...
Abstract. Todays data stream management systems (DSMSs) lack security functionality. Based on adversary scenarios we show how a DSMS architecture can be protected. We sketch a gene...
This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, high–cardinality, time–changing data streams. Within the Superv...
In this work we propose and evaluate mechanisms for the multiplexing and the integrated delivery of Video and Data Traffic over a Wireless Cellular High Speed Packet Switched Netwo...
Spyros Psychis, Polychronis Koutsakis, Michael Pat...