This paper1 presents an efficient modeling technique for data streams in a dynamic spatiotemporal environment and its suitability for mining developing trends. The streaming data a...
With a large number of news available on the internet everyday, it is an interesting work to automatically organize news events by time order and dependencies between events. The w...
A data-accumulating algorithm (d-algorithm for short) works on an input considered as a virtually endless stream. The computation terminates when all the currently arrived data ha...
In many applications involving continuous data streams, data arrival is bursty and data rate fluctuates over time. Systems that seek to give rapid or real-time query responses in ...
Brian Babcock, Shivnath Babu, Mayur Datar, Rajeev ...
Analysts have marked Event Processing as the most growing segment in enterprise computing during years 2008 and 2009, furthermore, this trend is expected to continue. Many of the ...