There is much interest in the processing of data streams for applications in the fields such as financial analysis, network monitoring, mobile services, and sensor network manage...
In many applications involving continuous data streams, data arrival is bursty and data rate fluctuates over time. Systems that seek to give rapid or realtime query responses in su...
Brian Babcock, Shivnath Babu, Mayur Datar, Rajeev ...
Discovering the patterns in evolving data streams is a very important and challenging task. In many applications, it is useful to detect the dierent patterns evolving over time and...
Data stream management systems (DSMSs) process continuous queries over streaming data in real-time adhering to quality of service requirements. The data streams generated from sen...
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...