Time series processing method and time series processing device

A time series and processing method technology, applied in the field of time series processing methods and devices, can solve problems such as large forecast errors, and achieve the effect of reducing forecast errors

Active Publication Date: 2017-12-26
HUNAN UNIV
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Therefore, there is a technical problem that the predi

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  • Time series processing method and time series processing device
  • Time series processing method and time series processing device

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[0024] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary sk...

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Abstract

An embodiment of the invention provides a time series processing method and a time series processing device and relates to the technical field of data mining. The time series processing method includes acquiring a target parameter time series of target parameters including parameters to be detected within a preset time length; then acquiring an influence factor time series of the target parameters within the preset time duration; finally, selecting a dynamic similarity series of the parameters to be detected from M subseries of the target parameters based on the target parameter time series and the influence factor time series. The time series processing method has the advantage that change processes of the target parameters and all influence factors thereof are included into selection rules of similar time series comprehensively, and similar time series selection accuracy and time series predication accuracy are both higher in time series prediction affected by accumulative effects, so that prediction errors of the time series in the prior art are reduced effectively.

Description

technical field [0001] The present invention relates to the technical field of data mining, in particular to a time series processing method and device. Background technique [0002] In the existing research on time series forecasting using similar time series method, most of the changes of the target parameters are deduced and studied as the change rules of time series, and this rule is considered to be fixed. But in reality, this pattern is time-varying. Therefore, there is a technical problem in the prior art that the prediction error is still relatively large. Contents of the invention [0003] The present invention provides a time series processing method and device, aiming to improve the above technical problems. [0004] A time series processing method provided by the present invention includes: acquiring a target parameter time series containing target parameters of parameters to be measured within a preset time length, wherein the target parameter time series in...

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Application Information

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IPC IPC(8): G06K9/62G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06G06F18/22
Inventor 黎灿兵章江曹一家周斌刘新东张卉钰周珑
Owner HUNAN UNIV
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