Abstract. Nowadays, we have witnessed the widely recognized phenomenon of high speed data streams. Various statistics computation over data streams is often required by many applic...
We present a fast algorithm for computing approximate quantiles in high speed data streams with deterministic error bounds. For data streams of size N where N is unknown in advanc...
There exist emerging applications of data streams that require association rule mining, such as network traffic monitoring and web click streams analysis. Different from data in t...
Efforts to build high-speed hardware for many different entropy coders are limited by fundamental feedback loops. Here is a method that allows for parallel compression in hardware...
Martin P. Boliek, James D. Allen, Edward L. Schwar...
We have designed, built, and analyzed a distributed parallel storage system that will supply image streams fast enough to permit multi-user, "real-time", video-like appl...
Brian Tierney, Jason Lee, Ling Tony Chen, Hanan He...