Enterprise risk detection method and device based on enterprise credit big data knowledge graph
A knowledge graph and big data technology, applied in the field of enterprise risk detection based on enterprise credit information big data knowledge graph, can solve problems such as lack of information in enterprise credit information graph, and achieve the effect of reducing risk
Pending Publication Date: 2022-07-29
BEIJING UNIV OF POSTS & TELECOMM
View PDF0 Cites 2 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0006] For this reason, the purpose of the present invention is to solve the problem of lack of information in the enterprise credit map, improve the accuracy of the prediction of defaulting enterprises, and propose an enterprise risk detection method based on the enterprise credit big data knowledge map
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0045] It should be noted that the embodiments in the present application and the features of the embodiments may be combined with each other in the case of no conflict. The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
[0046] In order to make those skilled in the art better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only Embodiments are part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0047] The following describes the...
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
Login to View More Abstract
The invention discloses an enterprise risk detection method and device based on an enterprise credit investigation big data knowledge graph, and the method comprises the steps: constructing an enterprise credit investigation big data unified information model through the data of a scattered data subdomain; based on the enterprise credit investigation big data unified information model, constructing a first enterprise credit investigation big data domain ontology by using a top-down mode; performing entity extraction and relationship extraction on data in the enterprise credit big data field through a bottom-up construction mode, and selecting high-quality new words to expand the scale of a first enterprise credit big data field ontology so as to construct a second enterprise credit big data field ontology; and based on the constructed ontology, constructing an enterprise credit investigation big data knowledge graph by utilizing enterprise credit investigation big data, performing feature acquisition through the knowledge graph, inputting the acquired feature data into the trained risk control model, outputting a classification result, and classifying enterprises. According to the method, the accuracy of the knowledge graph ontology in the enterprise credit investigation field is improved, and the performance of the risk control model is improved.
Description
technical field [0001] The invention relates to the field of enterprise risk detection, in particular to an enterprise risk detection method and device based on an enterprise credit information big data knowledge map. Background technique [0002] At present, in the enterprise risk detection method based on knowledge graph, the mainstream method is to extract the enterprise node attributes in the knowledge graph as the basic attribute feature, and extract the relationship between the enterprise and other enterprise entities in the knowledge graph graph as the association relationship feature. The attribute feature and the relationship feature are input together as the feature of the subsequent risk control model. Some people extract the feature information of enterprises in the network, including the number and proportion of defaulting enterprises in the first-order and second-order neighbor relations in the network, as the relationship characteristics of the enterprise, and...
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
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06K9/62G06Q40/02
CPCG06F16/367G06Q40/03G06F18/214
Inventor 宋美娜刘毓鄂海红欧中洪张光卫于勰董亚飞李国英冯煜国晓雪郭京荆
Owner BEIJING UNIV OF POSTS & TELECOMM