Outlier mining for time series based on sliding window
Ning Zhang · Journal of Yanshan University · 2008
Outlier mining is an important part of data mining. In this paper, a research on the outlier mining method for time series data is undertaken. On the basis of the method of outlier mining based on local outlier factor and the sliding window on time series, the outlier mining algorithm for time series based on sliding window is proposed and used in sea surface temperature (SST) data to detect the anomalies about SST.