Business data prediction method and device, electronic equipment and storage medium
A forecasting method and business data technology, applied in the computer field, can solve the problem of low forecasting accuracy and achieve the effect of improving accuracy and fitting effect
Pending Publication Date: 2022-03-18
ONE CONNECT SMART TECH CO LTD SHENZHEN
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[0003] The purpose of the present invention is to provide a business data prediction method, device, electronic equipment and storage medium to solve the technical problem of low prediction accuracy in the prior art
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[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0026] The terms "first", "second", and "third" in the present invention are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of indicated technical features. Thus, features defined as "first", "second", and "third" may explicitly or implicitly include at least one of these features. In the description of the present invention, "plurality" means at least two, such a...
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According to the business data prediction method and device, the electronic equipment and the storage medium, the data of the derivative indexes are calculated through the time sequence sample data of the basic indexes, and the basic indexes and the derivative indexes jointly form the business factors; predicting the historical data of the business factors by using a plurality of prediction models, and obtaining a plurality of target prediction models according to prediction results; obtaining a target time length according to the time sequence sample data of the associated index of the target index based on a matrix portrait algorithm; obtaining the weight of each model and a final prediction value according to a prediction result; through the mode, different business factors are fully mined; a target time length close to a target index change period is mined according to time sequence sample data of an association index, so that an optimal matching mode of the time length of input historical data and a prediction result can be found to improve a fitting effect; and a plurality of target prediction models are screened out for fusion, so that the prediction accuracy can be improved.
Description
technical field [0001] The present invention relates to the field of computers, in particular to a service data prediction method, device, electronic equipment and storage medium. Background technique [0002] In the prior art, when the time-series sample data of each business factor is used to predict target indicators, a single regression analysis model is generally used for prediction, and the business factors used for prediction are not fully exploited, which is not conducive to improving the accuracy of prediction. Contents of the invention [0003] The object of the present invention is to provide a business data prediction method, device, electronic equipment and storage medium to solve the technical problem of low prediction accuracy in the prior art. [0004] The technical solution of the present invention is as follows: a business data forecasting method is provided, comprising: [0005] Acquiring the time-series sample data of the first historical time period o...
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IPC IPC(8): G06Q10/04
CPCG06Q10/04G06Q10/06393G06Q30/0283G06Q50/16G06F16/2465G06N20/00G06F18/214G06F18/25
Inventor 李洁
Owner ONE CONNECT SMART TECH CO LTD SHENZHEN