Online Anomaly Detection Based on Support Vector Clustering
نویسندگان
چکیده
منابع مشابه
Online Anomaly Detection Based on Support Vector Clustering
A two-phase online anomaly detection method based on support vector clustering (SVC) in the presence of non-stationary data is developed in this paper which permits arbitrary-shaped data clusters to be precisely treated. In the first step, offline learning is performed to achieve an appropriate detection model. Then the current model dynamically evolves to match the rapidly changing real-world ...
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ژورنال
عنوان ژورنال: International Journal of Computational Intelligence Systems
سال: 2015
ISSN: 1875-6891,1875-6883
DOI: 10.1080/18756891.2015.1061393