Time series data smoothing method and device

Abstract

The invention relates to a time series data smoothing method and device. The method comprises the steps: obtaining target time series data and an associated data sequence corresponding to the target time series data, and enabling the associated data sequence to comprise the target time series data and associated data having a time series relation with the target time series data; determining a smooth weight corresponding to each part of data in the associated data sequence, the smooth weight being used for indicating the degree of difference between each part of data and the target time seriesdata and the relevancy of the distance between each part of data and the target time series data to the target time series data; and determining smooth data corresponding to the target time series data according to the smooth weight and the target time series data. According to the invention, the technical problem of low accuracy of the time series data is solved.

Description

technical field [0001] The present application relates to the field of computers, and in particular, to a method and device for smoothing time series data. Background technique [0002] There will be noise in the data collected by the sensor, the results calculated by the algorithm model, etc. There are various reasons, such as the acquisition equipment is affected by the magnetic field, the accuracy of the algorithm model is preferred, etc., but the reasons here are Some are unavoidable. The presence of noise in time series data will cause data jitter, resulting in lower accuracy of time series data. [0003] For the above problems, no effective solution has been proposed yet. SUMMARY OF THE INVENTION [0004] In order to solve the above technical problems or at least partially solve the above technical problems, the present application provides a method and apparatus for smoothing time series data. [0005] According to an aspect of the embodiments of the present appli...

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Problems solved by technology

[0002] The data collected by the sensor, the results calculated by the algorithm model, etc. will have noise. There are various reasons, such as the influence of the acquisition device by the magnetic field, the priority of the accuracy of the algorithm model, etc., but the reasons here Some are unavoidable. Noise in time series data will cause data jitter, resulting in low accuracy of time series data.

[0003] For the above problems, no effective solution has been proposed

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