Fast Algorithms for Outlier Detection.
Journal of Computer Science 2008, Feb, 4, 2
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Beschreibung des Verlags
INTRODUCTION Outlier detection has many practical applications in different domains. In many data mining applications, identifying exceptions or rare events can often lead to the discovery of unexpected knowledge in areas such as fraud detection (1), identifying computer network intrusions and bottlenecks (2) and criminal activities in E-commerce and detection of suspicious activities (3).
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