Distributed Anomaly Detection Using Minimum Volume Elliptical Principal Component Analysis
نویسندگان
چکیده
منابع مشابه
Anomaly Detection Using Principal Component Analysis
Anomaly detection is the identification of items, events or observations which do not conform to an expected pattern or other items in a dataset. Typically the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or finding errors in text. Anomalies are also referred to as outliers, novelties, noise, deviations and exceptions. Many tec...
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ژورنال
عنوان ژورنال: IEEE Transactions on Knowledge and Data Engineering
سال: 2016
ISSN: 1041-4347
DOI: 10.1109/tkde.2016.2555804