Detecting bursts in data streams is an important and challenging task, especially in stock market, traffic control or sensor network streams. Burst detection means the identificat...
Recently, a number of main memory algorithms for detecting the changes to XML data have been proposed. These approaches are not suitable for detecting changes to large XML documen...
Data Warehouses provide sophisticated tools for analyzing complex data online, in particular by aggregating data along dimensions spanned by master data. Changes to these master da...
The massive data streams observed in network monitoring, data processing and scientific studies are typically too large to store. For many applications over such data, we must ob...
Speaker change detection is most commonly done by statistically determining whether the two adjacent segments of a speech stream are significantly different or not. In this paper, ...