This paper presents results from analyzing the vulnerability of security-critical software applications to malicious threats and anomalous events using an automated fault injectio...
: Data provenance is becoming increasingly important for biosciences with the advent of large-scale collaborative environments such as the iPlant collaborative, where scientists co...
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Earth observation technologies have developed rapidly during the last decades. Substantial amounts of earth observation data have been acquired and stored among the literature and...
Background: Large-scale genetic mapping projects require data management systems that can handle complex phenotypes and detect and correct high-throughput genotyping errors, yet a...
Simon Fiddy, David Cattermole, Dong Xie, Xiao Yuan...