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

Graphical processing method and device for visualized big data association relationship

A technology of data association and processing methods, which is applied in the fields of electronic digital data processing, special data processing applications, structured data retrieval, etc., and can solve problems such as technical thresholds for ordinary users

Inactive Publication Date: 2017-07-14
北京数猎天下科技有限公司
View PDF4 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method depends on the implementation of various software manufacturers, and also requires relevant professional skills. For ordinary users, there are still technical barriers

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
  • Graphical processing method and device for visualized big data association relationship
  • Graphical processing method and device for visualized big data association relationship
  • Graphical processing method and device for visualized big data association relationship

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] Such as figure 1 As shown, the graphical processing method of this big data visualization data correlation includes the following steps:

[0024] (1) Obtain the data file that needs to be imported selected by the user, and the data file is a worksheet;

[0025] (2) Use the graphics technology on the web side to visualize the worksheet into several entity graphics, and mark the names of the business objects on these entity graphics;

[0026] (3) When it is detected that the entity graphics directly collide or overlap, the user is prompted whether to create a data association, and if it is received, step (4) is executed, otherwise step (5) is executed;

[0027] (4) Associate the fields of each worksheet selected by the user for data association, and display the association link on the interface after saving;

[0028] (5) END.

[0029] The present invention uses the graphics technology on the web side to visualize the worksheets into individual entity graphics, such as ...

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 invention provides a graphical processing method for a visualized big data association relationship. The method and the device are characterized in that a simple, convenient and intuitive graphical operation interface is provided and enables a user to perform graphic association processing on existing data without programming foundation; the method and the device can be widely applied to data visual display and analyzing of each industry and help user to build own data self-service analyzing system. The method comprises the following steps: (1) acquiring data files which are selected by the user and are to be imported, wherein the data files are worksheets; (2) concretizing the worksheets into a plurality of entity graphs through the graphics technology of a web side, and marking the names of service objects on the entity graphs; (3) prompting the user whether to build data association while detecting that the entity graphs are directly impacted and overlapped; if so, carrying out step (4), and otherwise, carrying out step (5); (4) performing data association on fields, selected by the user, of each worksheet, storing, and then displaying an association link through an interface; and (5) finishing. The invention also provides a device.

Description

technical field [0001] The present invention relates to the technical field of big data visualization, in particular to a graphical processing method for big data visualization data correlation, and a device using the method, mainly for non-database professionals, providing a set of simple and intuitive graphical operations The interface allows users to graphically correlate existing data without programming foundation. Background technique [0002] With the in-depth business integration of computer application systems in various industries, the resulting data from various sources is also accumulating day by day, and various requirements for data application and mining have emerged as the times require. [0003] As small as excel, as large as relational databases such as mysql, oracle, sqlserver, and big data platforms that have emerged in recent years such as Hadoop, they can all be used as data storage methods. There are a large number of associations in the business data ...

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 Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/22G06F16/26
Inventor 孙辉程凯征
Owner 北京数猎天下科技有限公司
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