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Prediction method and device, computing equipment and storage medium

A prediction method and time technology, applied in the computer field, can solve problems such as heavy workload, low work efficiency, and slow speed

Inactive Publication Date: 2019-04-12
ADVANCED NEW TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the large number of merchants, manually looking at the abnormalities of the data one by one to check and identify merchants with abnormalities compared with the past, the speed is slow, the workload is heavy, and the work efficiency is low.

Method used

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  • Prediction method and device, computing equipment and storage medium
  • Prediction method and device, computing equipment and storage medium
  • Prediction method and device, computing equipment and storage medium

Examples

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Embodiment Construction

[0024] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the application. However, the present application can be implemented in many other ways different from those described here, and those skilled in the art can make similar promotions without violating the connotation of the present application. Therefore, the present application is not limited by the specific implementation disclosed below.

[0025] Terms used in one or more embodiments of this specification are for the purpose of describing specific embodiments only, and are not intended to limit one or more embodiments of this specification. As used in one or more embodiments of this specification and the appended claims, the singular forms "a", "said" and "the" are also intended to include the plural forms unless the context clearly dictates otherwise. It should also be understood that the term "and / or" used in one or more embodiments of the present sp...

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Abstract

The invention provides a prediction method and device, computing equipment and a storage medium, and the method comprises the steps: receiving input data at the (t-1) th moment, the input data comprise historical index data, periodic data and influence factor data, and t is the current moment; selecting a long short-term memory network LSTM hidden layer at the t-2 moment; outputting a predicted LSTM result at the tth moment according to the LSTM hidden layer at the t-2 moment, the input data at the t-1 moment and the LSTM model.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a prediction method and device, a computing device and a storage medium. Background technique [0002] There are tens of thousands of merchants cooperating with Alipay. The risk indicators of merchants (such as the amount of rebates, complaints, etc.) are very important from the perspective of risk control. If abnormal fluctuations in risk indicators are found, merchants need to pay attention. If the merchant / service provider’s rebate amount suddenly increases on the day, the merchant’s transaction volume suddenly increases / decreases, and the number of merchant complaints (complaints that will be heard in the future) increases more than usual, it is necessary to focus on the merchant and extract the merchant’s situation in a timely manner for investigation. However, due to the large number of merchants, it is slow, heavy workload, and low work efficiency to manually c...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06Q30/00G06N3/04G06N3/08
CPCG06N3/08G06Q30/012G06Q30/0609G06N3/044G06N3/045
Inventor 刘晓韵
Owner ADVANCED NEW TECH CO LTD