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Big data denoising method for cloud computing business and cloud computing financial server

A big data and cloud computing technology, applied in the field of big data, can solve problems such as risk accumulation, lack of authoritative definition of big data, and affect risk identification and prevention and control, and achieve the effect of improving the accuracy of denoising

Active Publication Date: 2021-09-21
深圳市全景网络有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In financial business, this may affect its identification and prevention of risks, and cause the accumulation and spread of risks
[0003] Although so far, there is no unified and authoritative definition of big data

Method used

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  • Big data denoising method for cloud computing business and cloud computing financial server
  • Big data denoising method for cloud computing business and cloud computing financial server
  • Big data denoising method for cloud computing business and cloud computing financial server

Examples

Experimental program
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Embodiment approach

[0227] In a possible implementation manner, substep S1442 may be implemented through the following exemplary implementation manners:

[0228] (1) Obtain the label feature vector of the structured denoising distribution label and the label feature vector of the unstructured denoising distribution label included in the denoising feature information of each denoising node.

[0229] (2) Based on the label feature vectors of the structured denoising distribution labels and the label feature vectors of the unstructured denoising distribution labels corresponding to each denoising node, determine the distribution of the unit label feature vectors corresponding to each denoising node.

[0230] (3) Determine the global weighted denoising feature information according to the distribution of unit label feature vectors corresponding to each denoising node and the number of nodes of at least two denoising nodes.

[0231] In a possible implementation manner, the denoising distribution label...

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PUM

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Abstract

The embodiment of the present application provides a big data denoising method for cloud computing services and a cloud computing financial server, which can make full use of the information push configuration information of multiple information push services mapped by the business big data to be denoised. Different information push services in the actual application process carry out targeted denoising label prediction, so that the information push configuration information of each information push service can be used to complement each other in the subsequent denoising process, greatly improving the denoising accuracy rate .

Description

technical field [0001] This application relates to the field of big data technology, in particular, to a big data denoising method for cloud computing services and a cloud computing financial server. Background technique [0002] The development and progress of big data technology has provided people with new tools, that is, methods to recognize and analyze problems from a wider perspective, more dimensions, and a more comprehensive approach. However, some institutions have mastered a certain amount of customer information data, thinking that they have mastered big data, and neglected the research on data analysis tools and methodologies. In financial business, this may affect its identification and prevention and control of risks, and cause the accumulation and spread of risks. [0003] Although so far, there is no unified and authoritative definition of big data. But the important feature of big data is that it should include both structured data and information that app...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/215G06F16/2458G06Q40/00
CPCG06Q40/00G06F16/215G06F16/2465
Inventor 陈静
Owner 深圳市全景网络有限公司
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