Temporal Text Mining (TTM) is concerned with discovering temporal patterns in text information collected over time. Since most text information bears some time stamps, TTM has man...
We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
Navendu Jain, Michael Dahlin, Yin Zhang, Dmitry Ki...
ct In some applications, data capture dominates query processing. For example, monitoring moving objects often requires more insertions and updates than queries. Data gathering usi...
— In this paper1 we address the problem of processing continuous multi-join queries, over distributed data streams. Our approach makes use of existing work in the field of publi...
Oana Jurca, Sebastian Michel, Alexandre Herrmann, ...
We present a novel approach to ray tracing execution on commodity graphics hardware using CUDA. We decompose
a standard ray tracing algorithm into several data-parallel stages tha...