We present Nodeinfo, an unsupervised algorithm for anomaly detection in system logs. We demonstrate Nodeinfo’s effectiveness on data from four of the world’s most powerful sup...
Semi-supervised classification methods aim to exploit labelled and unlabelled examples to train a predictive model. Most of these approaches make assumptions on the distribution ...
Although a huge amount of remote sensing data has been provided by Earth observation satellites, few data manipulation techniques and information extraction in large data sets hav...
Thales Sehn Korting, Leila Maria Garcia Fonseca, M...
This paper presents a metadata-driven approach based on aspect-oriented requirements analysis. This approach has been defined in cooperation with the European Space Agency in the ...
Cross-layer optimization aims at improving the performance of network users operating in a time-varying, error-prone wireless environment. However, current solutions often rely on...