An ensemble feature selection approach using hybrid kernel based SVM for network intrusion detection system
Feature selection is a process of identifying relevant feature subset that leads to the machine learning algorithm in a well-defined manner. In this paper, anovel ensemble feature selection approach that comprises of Relief Attribute Evaluation and hybrid kernel-based support vector machine (HK-SVM...
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Main Authors: | , |
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Format: | EJournal Article |
Published: |
Institute of Advanced Engineering and Science,
2021-07-01.
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Online Access: | Get fulltext |
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A1234.567 |
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Copy 1 | Available |