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CIA
2008
Springer
13 years 10 months ago
Trust-Based Classifier Combination for Network Anomaly Detection
Abstract. We present a method that improves the results of network intrusion detection by integration of several anomaly detection algorithms through trust and reputation models. O...
Martin Rehák, Michal Pechoucek, Martin Gril...
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 8 months ago
Mining social networks for personalized email prioritization
Email is one of the most prevalent communication tools today, and solving the email overload problem is pressingly urgent. A good way to alleviate email overload is to automatical...
Shinjae Yoo, Yiming Yang, Frank Lin, Il-Chul Moon
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
14 years 2 months ago
Clustering Distributed Time Series in Sensor Networks
Event detection is a critical task in sensor networks, especially for environmental monitoring applications. Traditional solutions to event detection are based on analyzing one-sh...
Jie Yin, Mohamed Medhat Gaber
GECCO
2009
Springer
159views Optimization» more  GECCO 2009»
14 years 20 days ago
Bayesian network structure learning using cooperative coevolution
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
Olivier Barrière, Evelyne Lutton, Pierre-He...
BMCBI
2007
154views more  BMCBI 2007»
13 years 8 months ago
Inferring biological networks with output kernel trees
Background: Elucidating biological networks between proteins appears nowadays as one of the most important challenges in systems biology. Computational approaches to this problem ...
Pierre Geurts, Nizar Touleimat, Marie Dutreix, Flo...