JOURNAL ARTICLE
Feature Selection for Anomaly Detection Based on Genetic Algorithm
Year: 2018 Journal: Journal of the Korean Chemical Society Vol: 9 (7)Pages: 1-7 Publisher: Korean Chemical Society
Keywords:
Feature selection Anomaly detection Computer science Selection (genetic algorithm) Genetic algorithm Anomaly (physics) Feature (linguistics) Pattern recognition (psychology) Artificial intelligence Algorithm Data mining Machine learning Physics
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FWCI (Field Weighted Citation Impact)
6
Refs
0.25
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Topics
Anomaly Detection Techniques and Applications
Physical Sciences → Computer Science → Artificial Intelligence
Imbalanced Data Classification Techniques
Physical Sciences → Computer Science → Artificial Intelligence
Network Security and Intrusion Detection
Physical Sciences → Computer Science → Computer Networks and Communications
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