Due to the lack of efficient native XML database management systems, XML data manipulation and query evaluation may be resource-consuming, and represent a bottleneck for several ...
Stream data is common in many applications, e.g., stock quotes, merchandize sales record, system logs, etc.. It is of great importance to analyze these stream data. As one of the ...
In smart item environments, multitude of sensors are applied to capture data about product conditions and usage to guide business decisions as well as production automation proces...
Anja Klein, Hong Hai Do, Gregor Hackenbroich, Marc...
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...
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...