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Business occurrence amount prediction method, apparatus and device

A forecasting method and technology of occurrence volume, applied in the computer field, can solve problems such as abnormal forecasting results and large deviations in forecasted values, and achieve the effects of improving forecasting accuracy, reducing business risks, and improving capital utilization efficiency

Inactive Publication Date: 2018-08-28
ADVANCED NEW TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In practical applications, time series algorithms, such as moving average method, sliding average, ARIMA (Autoregressive Integrated Moving Average Model, autoregressive integrated moving average model) or Holt-Winters, can be used to give the development trend of a predetermined period of time, However, the above-mentioned time series algorithm has high requirements for the consistency of the time series trend. If the recent business development trend is abnormal, the prediction result obtained according to the above algorithm is likely to be abnormal, resulting in a large deviation of the predicted value. , it is necessary to provide a solution that can accurately predict the amount of business occurrence in real time, reduce business risks and improve capital utilization efficiency

Method used

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  • Business occurrence amount prediction method, apparatus and device
  • Business occurrence amount prediction method, apparatus and device
  • Business occurrence amount prediction method, apparatus and device

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Embodiment 1

[0054] Such as figure 1 As shown, the embodiment of this specification provides a method for predicting the amount of business occurrence. The execution body of the method may be a terminal device or a server, wherein the terminal device may be a personal computer or other mobile phone or a tablet computer. A terminal device, the terminal device may be a terminal device used by a user. The server may be an independent server, or a server cluster composed of multiple servers. This method can be used for accurate real-time forecasting of business occurrences and other processing. In this embodiment, the server is used as an example for illustration. For the terminal device, it can be processed according to the following relevant content, and will not be repeated here. The method specifically may include the following steps:

[0055] In step S102, discretize historical business data before a predetermined time period to obtain a time-granular business occurrence vector.

[005...

Embodiment 2

[0071] Such as image 3 As shown, the embodiment of this specification provides a method for predicting the amount of business occurrence. The execution body of the method may be a terminal device or a server, wherein the terminal device may be a personal computer or other mobile phone or a tablet computer. A terminal device, the terminal device may be a terminal device used by a user. The server may be an independent server, or a server cluster composed of multiple servers. This method can be used for accurate real-time forecasting of business occurrences and other processing. In this embodiment, the server is used as an example for illustration. For the terminal device, it can be processed according to the following relevant content, and will not be repeated here. The method specifically may include the following steps:

[0072] In step S302, discretize historical business data before a predetermined time period to obtain a time-granular business occurrence vector.

[007...

Embodiment 3

[0096] The above is the method for predicting the amount of business occurrence provided by the embodiment of this specification. Based on the same idea, the embodiment of this specification also provides a forecasting device for the amount of business occurrence, such as Figure 4 shown.

[0097] The forecasting device for the amount of business occurrence includes: a processing module 401 and a forecasting module 402 for the amount of business occurrence, wherein:

[0098] The processing module 401 is configured to discretize the historical business data before a predetermined time period to obtain a time-granular business occurrence vector, and generate a business occurrence distribution according to the business occurrence volume of continuous time in the historical business data Feature vector;

[0099] The business occurrence prediction module 402 is configured to determine the business occurrence within the predetermined time period according to the time-granularity bu...

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Abstract

The embodiment of the present invention discloses a business occurrence amount prediction method, apparatus and device. The method comprises the steps of: performing discretization processing of historical business data prior to a predetermined time period to obtain time granularity business occurrence amount vectors; generating business occurrence amount distribution feature vectors according tothe business occurrence amount of continuous time in the historical business data; and finally, determining a business occurrence amount in a determined time period according to the time granularity business occurrence amount vectors and the business occurrence amount distribution feature vectors.

Description

technical field [0001] This specification relates to the field of computer technology, in particular to a method, device and equipment for forecasting business occurrence. Background technique [0002] With the continuous development of network technology and terminal technology, e-commerce has become more and more important in people's daily life. For example, people can purchase various commodities in shopping websites through online payment. Not only that, businesses such as online overseas purchases and offline face-to-face payments have also developed rapidly. In this way, payment applications (such as Alipay, etc.) need to support merchants and buyers to pay and receive payments in different currencies. In this way, the payment application needs to settle the currency of the corresponding country to the corresponding merchant. Therefore, the payment application has a large demand for currency exchange. [0003] Usually, the payment application needs to purchase a cert...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04
CPCG06Q10/04G06Q10/063
Inventor 黄馨誉吴蔚川
Owner ADVANCED NEW TECH CO LTD
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