Big data resource integration method and system based on artificial intelligence, and cloud platform

A technology of data integration and artificial intelligence, applied in digital data processing, special data processing applications, digital data information retrieval, etc., can solve problems such as management and data resource waste, and achieve improved integration accuracy, accuracy rate, and optimization speed effect

Inactive Publication Date: 2021-08-10
广州云莫凡信息科技有限公司
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are some flaws in the integration of some of these related data elements, but these completed related data elements cannot be managed by the cloud platform corresponding to the current related data, resulting in a waste of related data resources

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
  • Big data resource integration method and system based on artificial intelligence, and cloud platform
  • Big data resource integration method and system based on artificial intelligence, and cloud platform
  • Big data resource integration method and system based on artificial intelligence, and cloud platform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0040] In order to facilitate the elaboration of the above-mentioned artificial intelligence-based big data resource integration method, system and cloud platform, please refer to figure 1 , provides a schematic diagram of a communication architecture of an artificial intelligence-based big data resource integration system 100 disclosed in the embodiment of the present application. Wher...

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 relates to the technical field of big data and artificial intelligence, in particular to a big data resource integration method and system based on artificial intelligence and a cloud platform. The method comprises the following steps: acquiring a track user data set of a first track and customer description class data on the first track; inputting the trajectory user data set of the first trajectory and the customer description type data on the first trajectory into a first target user data set neural model to determine a mode of a preset resource data integration list from a first initial calculation point to a first termination calculation point in a data integration model, obtaining and inputting the track user data set of the first track and the customer description type data of the first track from the data integration model into the neural model to determine the preset resource data integration list, so that the purpose of improving the accuracy of determining the preset resource data integration list is achieved, the integration accuracy of the preset resource data integration list is improved, and the technical effect of providing optimal track selection for the user is achieved.

Description

technical field [0001] The present disclosure relates to the technical field of big data and artificial intelligence, and in particular to an artificial intelligence-based big data resource integration method, system and cloud platform. Background technique [0002] The current cloud platform used by related data designers needs to count various data resources. For example, when creating a piece of related data, a large number of related data elements need to be combined. However, there are some flaws in the integration of some of these related data elements, but these completed related data elements cannot be managed by the cloud platform corresponding to the current related data, resulting in a waste of related data resources. Contents of the invention [0003] In order to improve the technical problems in the above-mentioned background technology existing in related technologies, the present disclosure provides an artificial intelligence-based big data resource integrat...

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): G06F16/215G06N3/02
CPCG06N3/02G06F16/215
Inventor 张倩翟晓军杨海珍陈伟宗
Owner 广州云莫凡信息科技有限公司
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap