Skyline computation is widely used in multi-criteria decision making. As research in uncertain databases draws increasing attention, skyline queries with uncertain data have also ...
There has been considerable interest in random projections, an approximate algorithm for estimating distances between pairs of points in a high-dimensional vector space. Let A Rn...
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
We present LiveRAC, a visualization system that supports the analysis of large collections of system management timeseries data consisting of hundreds of parameters across thousan...
Peter McLachlan, Tamara Munzner, Eleftherios Kouts...
With the increased use of embedded/portable devices such as smart cellular phones, pagers, PDAs, hand-held computers, and CD players, improving energy efficiency is becoming a cri...
Victor Delaluz, Mahmut T. Kandemir, Narayanan Vija...