An Approach For Verifying And Validating Clustering Based Anomaly Detection Systems Using Metamorphic Testing
Author:
Affiliation:
1. Montana State University,Gianforte School of Computing,Bozeman,USA
2. Montana State University,Gianforte School of Computing Idaho National Laboratories,Bozeman,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9897095/9898116/09898129.pdf?arnumber=9898129
Reference22 articles.
1. A Hybridized Approach for Testing Neural Network Based Intrusion Detection Systems
2. METTLE: A METamorphic Testing Approach to Assessing and Validating Unsupervised Machine Learning Systems
3. Metamorphic Exploration of an Unsupervised Clustering Program
4. Metamorphic Testing for Machine Translations: MT4MT
5. Testing and validating machine learning classifiers by metamorphic testing
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