: Experience in Extending Query Engine for Continuous Analytics Qiming Chen, Meichun Hsu HP Laboratories HPL-2010-44 In-Database Stream Processing Combining data warehousing and s...
We study the problem of maintaining sketches of recent elements of a data stream. Motivated by applications involving network data, we consider streams that are asynchronous, in w...
RFID technology is gaining adoption on an increasing scale for tracking and monitoring purposes. Wide deployments of RFID devices will soon generate an unprecedented volume of dat...
Daniel Gyllstrom, Eugene Wu 0002, Hee-Jin Chae, Ya...
Scientific instruments, such as radio telescopes, colliders, sensor networks, and simulators generate very high volumes of data streams that scientists analyze to detect and under...
The massive data streams observed in network monitoring, data processing and scientific studies are typically too large to store. For many applications over such data, we must ob...