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ECAI
2004
Springer
15 years 10 months ago
Exploiting Association and Correlation Rules - Parameters for Improving the K2 Algorithm
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...
Evelina Lamma, Fabrizio Riguzzi, Sergio Storari
ISCAS
2003
IEEE
117views Hardware» more  ISCAS 2003»
15 years 10 months ago
Learning temporal correlations in biologically-inspired aVLSI
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
Adria Bofill-i-Petit, Alan F. Murray
AUSAI
2006
Springer
15 years 9 months ago
DynamicWEB: Profile Correlation Using COBWEB
Establishing relationships within a dataset is one of the core objectives of data mining. In this paper a method of correlating behaviour profiles in a continuous dataset is presen...
Joel Scanlan, Jacky Hartnett, Raymond Williams
JMM2
2006
83views more  JMM2 2006»
15 years 5 months ago
Bhattacharyya Coefficient in Correlation of Gray-Scale Objects
Bhattacharyya coefficient is a popular method that uses color histograms to correlate images. Bhattacharyya Coefficient is believed to be the absolute similarity measure for freque...
M. Sohail Khalid, M. Umer Ilyas, M. Saquib Sarfara...
SP
2002
IEEE
170views Security Privacy» more  SP 2002»
15 years 5 months ago
Alert Correlation in a Cooperative Intrusion Detection Framework
This paper presents the work we have done within the MIRADOR project to design CRIM, a cooperative module for intrusion detection systems (IDS). This module implements functions t...
Frédéric Cuppens, Alexandre Mi&egrav...