Abstract
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.
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Maruatona, O., Vamplew, P., Dazeley, R., Watters, P.A. (2018). Rapid Anomaly Detection Using Integrated Prudence Analysis (IPA). In: Ganji, M., Rashidi, L., Fung, B., Wang, C. (eds) Trends and Applications in Knowledge Discovery and Data Mining. PAKDD 2018. Lecture Notes in Computer Science(), vol 11154. Springer, Cham. https://doi.org/10.1007/978-3-030-04503-6_12
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DOI: https://doi.org/10.1007/978-3-030-04503-6_12
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