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Data analysis method and device, computer equipment and storage medium

A data analysis and computer program technology, applied in the field of big data, can solve the problem of poor risk control accuracy of the credit network, and achieve the effect of improving the accuracy of risk control

Pending Publication Date: 2020-09-08
ONE CONNECT SMART TECH CO LTD SHENZHEN
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problem of poor risk control accuracy of the existing credit network, a data analysis method, device, computer equipment and storage medium aimed at improving the accuracy of risk control of the credit network are now provided

Method used

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  • Data analysis method and device, computer equipment and storage medium
  • Data analysis method and device, computer equipment and storage medium
  • Data analysis method and device, computer equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] see figure 1 , a data analysis method of the present embodiment, comprising:

[0052] S1. Collection and analysis request;

[0053]Specifically, the analysis request may be a request triggered by a preset period (for example: 1 day, a week, a month, etc.) as a business request; it may also be a request triggered by the user as needed.

[0054] S2. Obtain at least one first-level high-density subgraph according to the analysis request;

[0055] It should be noted that: the first-level high-density subgraph may be in JSON format. The first-level high-density subgraph is a relational network composed of multiple associated loan data; the first-level high-density subgraph includes at least one first node and at least one second node associated with the first node, and the first Both the first node and the second node are loan data;

[0056] By way of example and not limitation, refer to figure 2 As shown, the first node in the first-level high-density sub-graph can be...

Embodiment 2

[0094] see Figure 5 , a data analysis device 1 of this embodiment, comprising: an acquisition unit 11, an acquisition unit 12, a processing unit 13, a traceability unit 14, and an analysis unit 15, wherein:

[0095] A collection unit 11, configured to collect and analyze requests;

[0096] Specifically, the analysis request may be a request triggered by a preset period (for example: 1 day, a week, a month, etc.) as a business request; it may also be a request triggered by the user as needed.

[0097] An acquisition unit 12, configured to acquire at least one first-level high-density subgraph according to the analysis request;

[0098] It should be noted that: the first-level high-density subgraph may be in JSON format. The first-level high-density subgraph is a relational network composed of multiple associated loan data; the first-level high-density subgraph includes at least one first node and at least one second node associated with the first node, and the first Both the ...

Embodiment 3

[0130] In order to achieve the above object, the present invention also provides a computer device 2, the computer device 2 includes a plurality of computer devices 2, the components of the data analysis device 1 in the second embodiment can be dispersed in different computer devices 2, and the computer device 2 It can be a smart phone, a tablet computer, a laptop computer, a desktop computer, a rack server, a blade server, a tower server, or a cabinet server (including a stand-alone server, or a server cluster composed of multiple servers), etc. . The computer equipment 2 of this embodiment at least includes but is not limited to: a memory 21, a processor 23, a network interface 22 and a data analysis device 1 (refer to Figure 7 ). It should be pointed out that, Figure 7 Only the computer device 2 is shown with components - but it should be understood that implementation of all of the illustrated components is not required and that more or fewer components may instead be ...

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Abstract

The invention relates to big data, and discloses a data analysis method and device, computer equipment and a storage medium. According to the data analysis method, a first-level high-density sub-graphcan be obtained according to a collected analysis request, and the first-level high-density sub-graph is a relational network composed of multiple associated loan data; filtering all the first-levelhigh-density sub-graphs to filter loan data irrelevant to the analysis request, mining effective data relevant to the analysis, and further generating second-level high-density sub-graphs; traceability processing is carried out on each obtained secondary high-density sub-graph; analyzing the sub-graph core of each second-level high-density sub-graph based on the historical core in the core form, so as to know the evolution condition of the first-level high-density sub-graph corresponding to the second-level high-density sub-graph according to the sub-graph core, improve the risk control accuracy of the loan data, and generate a loan analysis result. The invention also relates to a blockchain technology. The first-level high-density sub-graph is stored in the blockchain.

Description

technical field [0001] The present invention relates to big data, in particular to a data analysis method, device, computer equipment and storage medium. Background technique [0002] With the rapid development of the Internet, human social activities are becoming more and more networked. The relationship between people and people, and between people and entities is abstracted into graph data, where vertices represent people or entities, and edges represent relationships. Graph data is widely used in various fields due to its ability to accommodate huge amounts of data and the advantages of being able to intuitively display the relationship between data and data. The existing credit network generates graph data based on a large amount of loan data. However, the existing credit network often only reflects the performance of the entire data at a certain moment, and the result given is also the state of the current credit network. [0003] In actual business, the calculation...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q40/02G06F16/2455G06F16/2458
CPCG06F16/2465G06F16/2455G06F2216/03G06Q40/03
Inventor 赵世泉
Owner ONE CONNECT SMART TECH CO LTD SHENZHEN
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