A two-way data value evaluation method and system for big data transactions

A technology of value assessment and data quality assessment, which is applied in the field of data transactions, can solve problems such as the inability to accurately assess the value of transaction commodities, the low matching degree between transaction commodities and transaction needs, and the lack of scientific pricing of transaction data, so as to achieve the realization of two-way data value Evaluate, improve positioning fit and demand matching, and release the effect of data value

Active Publication Date: 2022-03-29
SOUTH CHINA NORMAL UNIVERSITY
View PDF7 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] This application provides a two-way evaluation method and system for data value of big data transactions, which solves the problems in the prior art that the matching degree between transaction commodities and transaction needs is low, the pricing of transaction data is not scientific enough, and the accurate evaluation of the value of transaction commodities cannot be realized. , technical problems that cannot fully release the value of data

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
  • A two-way data value evaluation method and system for big data transactions
  • A two-way data value evaluation method and system for big data transactions
  • A two-way data value evaluation method and system for big data transactions

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] Such as figure 1 As shown, the embodiment of the present application provides a two-way data value evaluation method for big data transactions, wherein the method includes:

[0029]S100: Obtain the first data commodity information of the transaction between the first data supplier and the first data purchaser;

[0030] S200: Input the first data product information into a feature extraction unit to obtain the first data product features;

[0031] Specifically, the first data supplier is a data supplier, the first data purchaser is a data buyer, and the goods traded between the two parties are data analysis results rather than data itself, and the transaction of data analysis results is the key point. Through the results of data cleaning, analysis, modeling, and visualization, the underlying data, that is, the first data commodity information is not directly traded, and the first data commodity information is input into the feature extraction unit to perform data commod...

Embodiment 2

[0078] Based on the same inventive concept as the two-way evaluation method of data value of a big data transaction in the previous embodiment, as Figure 7 As shown, the embodiment of the present application provides a two-way data value evaluation system for big data transactions, wherein the system includes:

[0079] A first obtaining unit 11, the first obtaining unit 11 is configured to obtain first data commodity information for transactions between the first data supplier and the first data purchaser;

[0080] A second obtaining unit 12, the second obtaining unit 12 is configured to input the first data product information into the feature extraction unit to obtain the first data product features;

[0081] A first construction unit 13, the first construction unit 13 is used to construct a first user demand analysis model and a first data quality assessment model;

[0082] A third obtaining unit 14, the third obtaining unit 14 is configured to input the first data commod...

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

The present invention provides a data value two-way evaluation method and system for big data transactions, wherein the method includes: obtaining the first data product information; obtaining the first data product characteristics; constructing the first user demand analysis model and the first data A quality assessment model; obtaining first demand matching information and first quality assessment information; and obtaining a first response by inputting the first demand matching information and the first quality assessment information as variable information into a first objective function for calculation As a result, two-way value evaluation information is generated according to the first response result, and the first value evaluation information and the second value evaluation information are sent to the first data purchaser. It solves the technical problems in the existing technology that there is a low degree of matching between transaction commodities and transaction needs, insufficient scientific pricing of transaction data, inability to realize accurate evaluation of the value of transaction commodities, and inability to fully release the value of data.

Description

technical field [0001] The invention relates to the technical field of data transactions, in particular to a method and system for bidirectional evaluation of data value in big data transactions. Background technique [0002] With the maturity and development of big data technology, the application of big data in business is more and more extensive, and the examples of interaction, integration, exchange and transaction of big data are also increasing. Big data exchanges have also emerged as the times require. The business scope of the big data exchange includes big data asset trading, big data financial derivative data design and related services; technology development such as big data cleaning and modeling; big data related financial leverage data design and services; Other businesses approved by the supervisory authority and relevant departments. The big data exchange will carry out data futures, data financing, data mortgage and other businesses for data vendors, estab...

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): G06Q10/04G06Q10/06G06Q30/02
CPCG06Q10/04G06Q10/06393G06Q30/0201G06Q30/0206
Inventor 郑凯
Owner SOUTH CHINA NORMAL UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products