Periodic time transaction volume prediction method and device

A transaction volume and periodic technology, applied in the field of data processing, can solve the problems that ARIMA only supports, cannot meet the business requirements, and the prediction results are difficult to converge, so as to achieve the effect of improving accuracy and prolonging the prediction cycle

Pending Publication Date: 2019-09-27
INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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Problems solved by technology

However, the ARIMA model has the following problems: first, it cannot handle periodic data; second, the forecast time is generally 5 minutes, and the longer the forecast time, the more difficult it is for the forecast results to converge
In application scenarios such as the financial industry, due to the very high requirements for system reliability and stability, ARIMA only supports short-term, non-periodic transaction volume forecasts and cannot meet business requirements

Method used

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  • Periodic time transaction volume prediction method and device
  • Periodic time transaction volume prediction method and device
  • Periodic time transaction volume prediction method and device

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Embodiment Construction

[0030] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings. Here, the exemplary embodiments and descriptions of the present invention are used to explain the present invention, but not to limit the present invention.

[0031] figure 1 It is a schematic flow chart of a periodic trading volume forecasting method provided by an embodiment of the present invention, such as figure 1 As shown, the periodic trading volume forecasting method provided by the embodiment of the present invention includes:

[0032] S101. Obtain the first time series data corresponding to the moment to be predicted according to the historical transaction data; wherein, each first sample data in the first time series data has the same transaction volume date attribute;

[0033] Specifically, the historical tran...

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Abstract

The invention provides a periodic time transaction volume prediction method and device. The method comprises the steps of obtaining first time sequence data corresponding to a to-be-predicted moment according to historical transaction data; wherein each first sample data in the first time sequence data has the same trading volume date attribute; obtaining a transaction volume reference value at the to-be-predicted moment according to the first time sequence data; obtaining a transaction volume prediction value at the to-be-predicted moment according to the transaction volume difference value and the transaction volume reference value; wherein the transaction volume difference value is obtained in advance according to the historical transaction data. The device is used for executing the method. Accuracy of transaction volume prediction is improved.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a method and device for predicting transaction volume at periodic times. Background technique [0002] At present, the amount of data in data centers is growing rapidly, and the pressure on data processing is increasing. It is of great significance to quickly and accurately predict the change of transaction volume based on the time period. First, the business peak time can be known in advance, and the processing efficiency of the IT department to deal with the business peak can be improved; second, the accurate prediction of transaction volume can realize Profit growth, benefit investment, resource allocation, business stability, etc. [0003] In the prior art, regarding the time series trading volume prediction, the Autoregressive Integrated Moving Average Model (ARIMA) is mainly used, which regards the data sequence formed by the forecast object over time as a ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/34
CPCG06F11/3447G06F11/3452G06F11/3476
Inventor 滕飞罗涛夏冬
Owner INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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