KDRuleEx: A Novel Approach for Enhancing User Comprehensibility Using Rule Extraction

Knowledge representation opaque model like ANN has advantage of accuracy and limitation of interpretability. Transparent models like decision tree, decision table and rules represent knowledge in more understandable form and can easily be integrated with other learning system. Converting an opaque m...

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Bibliographische Detailangaben

Veröffentlicht in:	2012 Third International Conference on Intelligent Systems Modelling and Simulation S. 55 - 60
Hauptverfasser:	Sethi, K. K., Mishra, D. K., Mishra, B.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.02.2012
Schlagworte:	Accuracy ANN Artificial neural networks Classification algorithms Comprehensibility Data mining Data models Decision Table Decision trees Fidelity Rule Extraction Training
ISBN:	1467308862, 9781467308861
ISSN:	2166-0662
Online-Zugang:	Volltext
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