Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and system for predicting data review target 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: 2019-04-30
THE FOURTH PARADIGM BEIJING TECH CO LTD
View PDF3 Cites 0 Cited by
  • Summary
  • 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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system for predicting data review target based on machine learning
  • Method and system for predicting data review target based on machine learning
  • Method and system for predicting data review target based on machine learning

Examples

Experimental program
Comparison scheme
Effect test

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 ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

Provided are a method and system for predicting data review targets based on machine learning. The method includes: (A) obtaining the data record to be audited and at least one verification data record; (B) calculating the attribute authenticity feature of the data record to be audited based on the at least one verification data record, wherein the attribute authenticity The feature is used to measure the authenticity of the at least one attribute information; (C) using the target prediction model trained based on machine learning to obtain the prediction result of the data record to be audited about the data audit target according to the calculated attribute authenticity feature , wherein the target prediction model is trained to predict data review targets for corresponding pending data records based on attribute authenticity features. Through the above method, it is possible to overcome the human-consuming defect of the existing data review method.

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06N20/00G06Q10/04G06Q40/02
CPCG06N20/00G06Q10/04G06Q40/02G06F18/214
Inventor 黄晶涂威威陈雨强
Owner THE FOURTH PARADIGM BEIJING TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com