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ISMIS
2005
Springer
15 years 3 months ago
Learning the Daily Model of Network Traffic
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...
Costantina Caruso, Donato Malerba, Davide Papagni
PG
2003
IEEE
15 years 3 months ago
Adaptive Grouping and Subdivision for Simulating Hair Dynamics
We present a novel approach for adaptively grouping and subdividing hair using discrete level-of-detail (LOD) representations. The set of discrete LODs include hair strands, clust...
Kelly Ward, Ming C. Lin
CLEF
2009
Springer
14 years 11 months ago
MorphoNet: Exploring the Use of Community Structure for Unsupervised Morpheme Analysis
This paper investigates a novel approach to unsupervised morphology induction relying on community detection in networks. In a first step, morphological transformation rules are a...
Delphine Bernhard
CRITIS
2009
14 years 11 months ago
Towards Early Warning Systems - Challenges, Technologies and Architecture
We present the architecture of an automatic early warning system (EWS) that aims at providing predictions and advice regarding security threats in information and communication tec...
Martin Apel, Joachim Biskup, Ulrich Flegel, Michae...
CLUSTER
2006
IEEE
14 years 10 months ago
Autonomous recovery in componentized Internet applications
In this paper we show how to reduce downtime of J2EE applications by rapidly and automatically recovering from transient and intermittent software failures, without requiring appl...
George Candea, Emre Kiciman, Shinichi Kawamoto, Ar...