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Method and system for predicting data auditing objective based on machine learning

A technology of machine learning and predicting data, applied in the field of data science, can solve problems such as labor-intensive

Active Publication Date: 2016-11-09
THE FOURTH PARADIGM BEIJING TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Exemplary embodiments of the present invention aim to overcome the defects of labor-intensive existing data review methods

Method used

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  • Method and system for predicting data auditing objective based on machine learning
  • Method and system for predicting data auditing objective based on machine learning
  • Method and system for predicting data auditing objective based on machine learning

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Embodiment Construction

[0052] In order to enable those skilled in the art to better understand the present invention, exemplary embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific implementation methods.

[0053] In an exemplary embodiment of the present invention, data review is implemented in the following manner: using the target prediction model trained based on machine learning technology, the data review target is given for the predicted sample characteristics of the fusion of the data to be reviewed and the verification data. prediction results. Machine learning is an inevitable product of the development of artificial intelligence research to a certain stage. It is committed to improving the performance of the system itself by means of calculation and using experience. In computer systems, "experience" usually exists in the form of "data". Through machine learning algorithms, "models" can be generated from ...

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Abstract

A method and a system for predicting the data auditing objective based on machine learning are provided. The method comprises the steps as follows: (A) acquiring a to-be-audited data record and at least one verification data record; (2) calculating the attribute truthfulness characteristic of the to-be-audited data record based on the at least one verification data record, wherein the attribute truthfulness characteristic is used to measure the truthfulness of at least one piece of attribute information; and (C) acquiring the prediction result of the to-be-audited data record about the data auditing objective through use of an objective prediction model trained based on machine learning and according to the calculated attribute truthfulness characteristic, wherein the objective prediction model is trained to predict the data auditing objective about the corresponding to-be-audited data record based on the attribute truthfulness characteristic. Through the scheme, the defect that the existing data auditing mode is manpower-consuming is overcome.

Description

technical field [0001] The present invention generally relates to the field of data science, and more specifically, relates to a method and system for predicting data review targets based on machine learning. Background technique [0002] In real life, it is often necessary to audit various data such as customer information, project information, asset information, transaction information, etc., so as to make business judgments based on the audit results. [0003] For example, in various scenarios such as applying for affairs, handling transactions, and registering for activities, various attributes such as identity, assets, contact information, transaction characteristics, transaction characteristics, or activity characteristics will be generated (manually filled or generated by other means) information. Correspondingly, relevant units, organizations and institutions need to review the information and data, so as to make business judgments about whether the application is c...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06F15/18G06Q10/04G06Q40/02
CPCG06N20/00G06Q10/04G06Q40/02G06F18/214
Inventor 黄晶涂威威陈雨强
Owner THE FOURTH PARADIGM BEIJING TECH CO LTD
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