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Detection of outliers and identification of change points in a data stream are two very exciting topics in the area of data mining. This paper explores the relationship between these two issues, and presents a unifying method for dealing with both of them. This approach is based on a probabilistic model of time series whose parameters are updated adaptively. The forward and backward prediction errors...
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