In stream join processing with limited memory, uniform random sampling is useful for approximate query evaluation. In this paper, we address the problem of reservoir sampling over...
Mohammed Al-Kateb, Byung Suk Lee, Xiaoyang Sean Wa...
Reservoir sampling is a well-known technique for sequential random sampling over data streams. Conventional reservoir sampling assumes a fixed-size reservoir. There are situation...
Mohammed Al-Kateb, Byung Suk Lee, Xiaoyang Sean Wa...
Sampling streams of continuous data with limited memory, or reservoir sampling, is a utility algorithm. Standard reservoir sampling maintains a random sample of the entire stream a...
Currently, stream data processing is an active area of research, which includes everything from algorithms and architectures for stream processing to modelling and analysis of var...
Over a traditional Database Management System (DBMS), the answer to an aggregate query is usually much smaller than the answer to a similar nonaggregate query. Therefore, we call ...