JOURNAL ARTICLE

Feature Selection for Anomaly Detection Based on Genetic Algorithm

Jae-Hyun Seo

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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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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