Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Classification model construction method and device, computer equipment and readable storage medium

A technology for classifying models and building methods, applied in computer parts, calculations, character and pattern recognition, etc., can solve problems such as difficulty for users to find, and achieve the effect of improving efficiency and usability and reducing complexity

Pending Publication Date: 2020-10-27
PING AN INT FINANCIAL LEASING CO LTD
View PDF16 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a classification model construction method, device, computer equipment and readable storage medium, which are used to solve the existing problems in the prior art, which need to query in a large number of rules and call the required rules to process the data, resulting in the use of It is difficult for readers to find accurate rules to carry out their current business problems; this application can be applied to smart government affairs scenarios, thereby promoting the construction of smart cities

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
  • Classification model construction method and device, computer equipment and readable storage medium
  • Classification model construction method and device, computer equipment and readable storage medium
  • Classification model construction method and device, computer equipment and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] see figure 1 , a classification model construction method of the present embodiment, comprising:

[0047] S1: Obtain at least one stock rule, identify the degree of difference between the stock rules through the agglomerative hierarchical clustering algorithm, and summarize the stock rules whose degree of difference is lower than the difference threshold to generate a rule set.

[0048] S2: Extract the judgment index and judgment result of each stock rule in the rule set, and deduplicate the judgment index and judgment result to obtain the rule index and rule result.

[0049] S3: Build a classification model that takes rule results as classification results and rule indicators as judgment factors.

[0050] S4: Create a configuration page according to the rule indicators in the rule set, and associate the configuration page with the classification model corresponding to the rule set.

[0051] This application organizes the obtained stock rules by sorting out the stock ru...

Embodiment 2

[0054] This embodiment is a specific application scenario of the first embodiment above. Through this embodiment, the method provided by the present invention can be described more clearly and specifically.

[0055] Next, in the server running the classification model construction method, extract the judgment index and judgment result of the existing rules, deduplicate the judgment index and judgment result to obtain the rule index and rule result, construct the rule result as the classification result, and use The classification model in which the rule index is a judgment factor and the construction of a configuration page are taken as examples to describe the method provided in this embodiment in detail. It should be noted that this embodiment is only exemplary, and does not limit the protection scope of the embodiment of the present invention.

[0056] figure 2 A schematic diagram of an environment application of the method for constructing a classification model accordin...

Embodiment 3

[0113] see Figure 4 , a classification model construction device 1 of the present embodiment, comprising:

[0114] The difference identification module 11 is used to obtain at least one stock rule, identify the degree of difference between each of the stock rules through an agglomerative hierarchical clustering algorithm, and summarize the stock rules whose difference degree is lower than the difference threshold to generate a rule set;

[0115] The index result management module 12 is used to extract the judgment index and judgment result of each stock rule in the rule set, and deduplicate the judgment index and judgment result to obtain the rule index and rule result;

[0116] The model building module 13 is used to construct a classification model with the rule result in the rule set as the classification result and the rule index as the judgment factor;

[0117] The page building module 14 is configured to create a configuration page according to the rule indicators in t...

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 artificial intelligence, and discloses a classification model construction method and device, computer equipment and a readable storage medium. The method comprises the steps: recognizing the degree of difference between stock rules through a condensation hierarchical clustering algorithm, and summarizing the stock rules with the degree of differencelower than a difference threshold to generate a rule set; extracting a judgment index and a judgment result of each stock rule in the rule set, and performing duplicate removal on the judgment indexand the judgment result to obtain a rule index and a rule result; constructing a classification model taking a rule result in the rule set as a classification result and taking a rule index as a judgment factor; and creating a configuration page according to the rule indexes in the rule set, and associating the configuration page with the classification model corresponding to the rule set. According to the method, only one classification model needs to be called to calculate the calculation data corresponding to the plurality of similar stock rules, so that the complexity of rule use is greatly reduced, and the problem that a current user difficultly finds an accurate rule to develop a service needing to be solved at present is solved.

Description

technical field [0001] The invention relates to the technical field of intelligent decision-making of artificial intelligence, in particular to a classification model construction method, device, computer equipment and readable storage medium. Background technique [0002] The PBOC credit report is a data source used by most financial institutions to make risk judgments on users. However, due to the complexity of the PBOC credit report messages, most of which are detailed data and less statistical data, it is very difficult to implement the rules related to the details in most traditional rule engines, and it is often necessary to target each Rules to write different scripts, and business personnel cannot write this type of rules, developers are required to develop scripts. [0003] When the number of rules increases to a certain number, users need to query and call the required rules to process data in a large number of rules, resulting in very complicated query and call o...

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): G06K9/62G06Q40/02
CPCG06Q40/02G06F18/23G06F18/22G06F18/241
Inventor 谢胜锋曾俊扬
Owner PING AN INT FINANCIAL LEASING CO LTD
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
Eureka Blog
Learn More
PatSnap group products