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...
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 ...
In this work a method for detecting distance-based outliers in data streams is presented. We deal with the sliding window model, where outlier queries are performed in order to de...
Continuously monitoring through time the correlation/distance of multiple data streams is of interest in a variety of applications, including financial analysis, video surveillanc...