Method for automatically removing time sequence data outlier point
A technology of time series data and outlier points, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., to achieve the effect of reducing data analysis accuracy and avoiding failure
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[0019] The present invention will be described in detail below in conjunction with the accompanying drawings.
[0020] The invention realizes a method for automatically removing outlier points of time series data. This method uses variance-based density clustering, combined with the inherent characteristics of time series data, to automatically identify outliers. The basic train of thought of the present invention is: the method for identifying outlier points based on the density clustering of variance clusters with variance, mean value and time window; This method needs to use time window to divide time-series data in time on the one hand; On the other hand Measure density thresholds, radii, etc. with variance, mean, etc.
[0021] According to the technical solution of the present invention, the method includes a data configuration module, a module for loading identification data sets, data format conversion and cleaning, a module for identifying outlier points based on vari...
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