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ACSC
2005
IEEE
16 years 27 days ago
Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters
Most current network intrusion detection systems employ signature-based methods or data mining-based methods which rely on labelled training data. This training data is typically ...
Kingsly Leung, Christopher Leckie
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
16 years 24 days ago
Post-processing clustering to reduce XCS variability
XCS is a stochastic algorithm, so it does not guarantee to produce the same results when run with the same input. When interpretability matters, obtaining a single, stable result ...
Flavio Baronti, Alessandro Passaro, Antonina Stari...
HPCC
2005
Springer
16 years 24 days ago
Transactional Cluster Computing
A lot of sophisticated techniques and platforms have been proposed to build distributed object systems. Remote method invocation and explicit message passing on top of traditional...
Stefan Frenz, Michael Schöttner, Ralph Gö...
ANTSW
2004
Springer
16 years 20 days ago
How to Use Ants for Hierarchical Clustering
Abstract. We present in this paper, a new model for document hierarchical clustering, which is inspired from the self-assembly behavior of real ants. We have simulated the way ants...
Hanene Azzag, Christiane Guinot, Gilles Venturini
ICDAR
2003
IEEE
16 years 17 days ago
Postal Envelope Segmentation by 2-D Histogram Clustering through Watershed Transform
In this paper we present a new postal envelope segmentation method based on 2-D histogram clustering and watershed transform. Segmentation task consists in detecting the modes ass...
Eduardo Akira Yonekura, Jacques Facon