Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...
In this paper, we will examine the problem of clustering massive domain data streams. Massive-domain data streams are those in which the number of possible domain values for each a...
Sampling streams of continuous data with limited memory, or reservoir sampling, is a utility algorithm. Standard reservoir sampling maintains a random sample of the entire stream a...
XML stream processing has recently become popular for many applications such as selective dissemination of information. Several approaches have been proposed and most of them are ...
We consider a distributed system that disseminates highvolume event streams to many simultaneous monitoring applications over a low-bandwidth network. For bandwidth efficiency, we...