Most of the time series' anomaly detections are processed with the similarity analysis,and their time complexity is rather high.In order to reduce the time of anomaly detection,it studies and discusses the method of knowledge granularity in this paper. Knowledge granularity is widely applied in the anomaly detection of data,but rarely used in anomaly detection on time series. In viewof context dependent anomaly( point) detection in time series,the knowledge-granularity-based anomaly detection is proposed to...
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