Risk data identification method, terminal device and computer-readable storage medium

A data identification and risk technology, applied in computer parts, computing, data processing applications, etc., can solve problems such as inaccurate identification results of identification data index technology, achieve objective and accurate evaluation results, meet timeliness requirements, and rapid evaluation process Effect

Active Publication Date: 2022-02-08
深圳市明源云科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The main purpose of the present invention is to provide a risk data identification method, which aims to solve the technical problem of inaccurate technical identification results in identifying whether the data index changes are abnormal, and further manual judgment is required

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  • Risk data identification method, terminal device and computer-readable storage medium
  • Risk data identification method, terminal device and computer-readable storage medium
  • Risk data identification method, terminal device and computer-readable storage medium

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Embodiment Construction

[0038] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0039] The main solution of the embodiment of the present invention is: by comprehensively evaluating the report data to be evaluated from multiple evaluation angles, comparing the report data to be evaluated and the mean value of the sample set, the overall change trend of the report data to be evaluated and the sample set, and the report data to be evaluated and the samples Concentrate the relationship between the maximum value and the minimum value to output the risk assessment results of the report data to be evaluated, and at the same time input the report data to be evaluated and the resulting risk assessment results into the calculation model.

[0040] Since the existing technology recognizes whether the data index changes are abnormal by setting simple rules and the final identification results are often not ac...

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Abstract

The invention discloses a risk data identification method, a terminal device and a computer-readable storage medium. The risk data identification method includes: comprehensively evaluating the data to be evaluated from multiple evaluation angles by using a calculation model constructed by a naive Bayesian algorithm , such as the degree of agreement between the report data to be evaluated and the mean value of the sample set, the degree of agreement with the overall change trend of the sample set, and the relationship with the maximum and minimum values ​​of the sample set, making the evaluation results more accurate, and the output evaluation results are also input into the calculation The samples of the model are updated in a centralized manner, so that the overall evaluation standard of the calculation model can adapt to the changing trend of the application environment, without the need for manual secondary evaluation according to the changing trend of the application environment, and the evaluation process is faster, meeting the timeliness needs of enterprises to obtain business information.

Description

technical field [0001] The present invention relates to the real estate BI field and data identification technology, in particular to a risk data identification method, terminal equipment and a computer-readable storage medium. Background technique [0002] In the field of real estate BI (Business Intelligence, business intelligence), a lot of data or indicators are involved, such as the number of unsigned subscriptions, overdue unsigned numbers, sold volume, remaining volume, payment rate, etc.; these are real estate practitioners The most concerned data indicators, but these data indicators often change and the change trend is also dynamic. Some changes are normal fluctuations, but some changes are abnormal, and these abnormally changing data can reflect some business information. At present, the identification of abnormal changes in data indicators is identified by setting simple rules, and the final identification results are often not accurate enough. It is necessary to...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q50/16G06K9/62
CPCG06Q10/0635G06Q10/06393G06Q50/16G06F18/24155G06F18/214
Inventor 温桂龙
Owner 深圳市明源云科技有限公司
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