In a number of emerging streaming applications, the data values that are produced have an associated time interval for which they are valid. A useful computation over such streami...
Michael D. Morse, Jignesh M. Patel, William I. Gro...
Mining frequent patterns in a data stream is very challenging for the high complexity of managing patterns with bounded memory against the unbounded data. While many approaches as...
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
Monitoring aggregates on IP traffic data streams is a compelling application for data stream management systems. The need for exploratory IP traffic data analysis naturally leads ...
Rui Zhang 0003, Nick Koudas, Beng Chin Ooi, Divesh...
Abstract Current, data-driven applications have become more dynamic in nature, with the need to respond to events generated from distributed sources or to react to information extr...