Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
Modern scientific collaborations have opened up the opportunity of solving complex problems that involve multidisciplinary expertise and large-scale computational experiments. The...
Chee Sun Liew, Malcolm P. Atkinson, Jano I. van He...
Can creative visualizations of real time energy consumption patterns trigger more ecologically responsible behavior? Media art that displays the real time usage of key resources s...
Background: Techniques for measuring protein abundance are rapidly advancing and we are now in a situation where we anticipate many protein abundance data sets will be available i...
Eric Z. Yu, Anne E. Counterman Burba, Mark Gerstei...
Progress in insider-threat detection is currently limited by a lack of realistic, publicly available, real-world data. For reasons of privacy and confidentiality, no one wants to...