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Rapid anomaly detection using integrated prudence analysis (IPA)

Version 2 2024-06-04, 15:51
Version 1 2019-04-01, 16:22
conference contribution
posted on 2024-06-04, 15:51 authored by O Maruatona, P Vamplew, Richard DazeleyRichard Dazeley, PA 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

Volume

11154

Pagination

137-141

Location

Melbourne, Victoria

Start date

2018-05-15

End date

2018-05-18

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783030045029

Language

eng

Publication classification

E1.1 Full written paper - refereed

Editor/Contributor(s)

Ganji M, Rashidi L, Fung B, Wang C

Title of proceedings

PAKDD 2018 : Trends and applications in knowledge discovery and data mining : the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining

Event

Knowledge Discovery and Data Mining. Asia-Pacific Conference (2018 : 22nd : Melbourne, Victoria)

Publisher

IEEE

Place of publication

Piscataway, N.J.

Series

Lecture Notes in Computer Science

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