VNSOptClust: A Variable Neighborhood Search Based Approach for Unsupervised Anomaly Detection

Christa Wang; Nabil Belacel

doi:10.1007/978-3-540-87477-5_64

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VNSOptClust: A Variable Neighborhood Search Based Approach for Unsupervised Anomaly Detection

Christa Wang Nabil Belacel

Year: 2008 Communications in computer and information science Pages: 607-616 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-540-87477-5_64

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Keywords:

Cluster analysis Computer science Anomaly detection Dependency (UML) Data mining Partition (number theory) Statistic Exploit Pattern recognition (psychology) Variable (mathematics) Metaheuristic Artificial intelligence Algorithm Mathematics Statistics

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Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Clustering Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

VNSOptClust: A Variable Neighborhood Search Based Approach for Unsupervised Anomaly Detection

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