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Automatic anomaly detection is of great importance in the big data era because the large volume of raw data can be accessed easily and the automatic method to analyze the data is desirable. This paper uses a framework based on fuzzy c-means clustering to detect anomaly in temporal traffic data. In this framework the sliding window is employed first to generate a collection of segments or subsequences...
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