Increasing coverage to improve detection of network and host anomalies

DOI10.1007/S10994-009-5145-3zbMath1470.68187OpenAlexW2148635136MaRDI QIDQ1959583

Philip K. Chan, Gaurav Tandon

Publication date: 7 October 2010

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-009-5145-3

zbMATH Keywords

anomaly detectionrule learningrule pruningrule weighting, rule replacement

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• C4.5
• ADAM

Cites Work

• The weighted majority algorithm

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