Research in temporal databases has mainly focused on defining temporal data models by extending existing models, and developing access structures for temporal data. Little has bee...
Existing temporal pattern mining assumes that events do not have any duration. However, events in many real world applications have durations, and the relationships among these ev...
The association of timestamps with various data items such as tuples or attribute values is fundamental to the management of time-varying information. Using intervals in timestamp...
We examine the problem of processing temporal joins in the presence of indexing schemes. Previous work on temporal joins has concentrated on non-indexed relations which were fully...
Donghui Zhang, Vassilis J. Tsotras, Bernhard Seege...
Queries for composite events typically involve the four complementary dimensions of event data, event composition, relationships between events (esp. temporal and causal), and acc...