How can we find communities in dynamic networks of social interactions, such as who calls whom, who emails whom, or who sells to whom? How can we spot discontinuity timepoints in ...
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
StreaMon is the adaptive query processing engine of the STREAM prototype Data Stream Management System (DSMS) [4]. A fundamental challenge in many DSMS applications (e.g., network...
Many real world applications such as sensor networks and other monitoring applications naturally generate probabilistic streams that are highly correlated in both time and space. ...
The stream processing characteristics of many embedded system applications in multimedia and networking domains have led to the advent of stream based programming formats. Several ...