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Rapid anomaly detection using integrated prudence analysis (IPA)
conference contribution
posted on 2018-01-01, 00:00 authored by O Maruatona, P Vamplew, Richard DazeleyRichard Dazeley, P A Watters© Springer Nature Switzerland AG 2018. Integrated Prudence Analysis has been proposed as a method to maximize the accuracy of rule based systems. The paper presents evaluation results of the three Prudence methods on public datasets which demonstrate that combining attribute-based and structural Prudence produces a net improvement in Prudence Accuracy.
History
Event
Knowledge Discovery and Data Mining. Asia-Pacific Conference (2018 : 22nd : Melbourne, Victoria)Volume
11154Series
Lecture Notes in Computer SciencePagination
137 - 141Publisher
IEEELocation
Melbourne, VictoriaPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2018-05-15End date
2018-05-18ISSN
0302-9743eISSN
1611-3349ISBN-13
9783030045029Language
engPublication classification
E1.1 Full written paper - refereedEditor/Contributor(s)
M Ganji, L Rashidi, B Fung, C WangTitle of proceedings
PAKDD 2018 : Trends and applications in knowledge discovery and data mining : the 22nd Pacific-Asia Conference on Knowledge Discovery and Data MiningUsage metrics
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