We present a demonstration of a newly developed text stream event detection method on over a million articles from the New York Times corpus. The event detection is designed to ope...
Tristan Snowsill, Ilias N. Flaounas, Tijl De Bie, ...
We define the use of Bayesian Networks for fault detection in the perception mechanism of context-aware ubiquitous systems. This paper1 describes the complete working of such a f...
A distributed data mining algorithm to improve the detection accuracy when classifying malicious or unauthorized network activity is presented. The algorithm is based on genetic p...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
The development of on line model-based fault detection systems in machinery improves the operational reliability of industrial systems and reduces the operational and maintenance ...
We discuss spike detection for noisy neuronal data. Robust spike detection techniques are especially important for probes which have fixed electrode sites that cannot be independe...