Decision-making behavior generation method and system based on decision-making treeDecision-making tree-based decision-making behavior generation method and system

A decision tree and decision-making technology, applied in instruments, character and pattern recognition, finance, etc., can solve the problems of long time-consuming decision tree and low construction efficiency, and achieve the effects of timely execution, improved analysis speed, and improved accuracy

Active Publication Date: 2020-06-26
SICHUAN XW BANK CO LTD
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AI Technical Summary

Problems solved by technology

[0008] The invention provides a decision tree-based decision-making behavior generation method and system to solve the current technical problems of relying on modelers to manually build decision trees, which takes a long time and has low construction efficiency

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  • Decision-making behavior generation method and system based on decision-making treeDecision-making tree-based decision-making behavior generation method and system
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Embodiment Construction

[0046] Such as figure 1 Shown the present invention is based on the decision-making behavior generation system of decision tree, comprises:

[0047] Indicator acquisition module: acquire indicators for decision tree application;

[0048] Decision tree generation module: according to the obtained indicators, the node visualization graph configuration is performed, and the decision path is generated;

[0049] Decision tree extraction module: extract all nodes on all decision paths, including the bifurcation characteristics of nodes and the affiliation relationship between different nodes;

[0050] Decision tree verification module: verify the correctness of the expression, the correctness of the decision path, and the pre-run batch data verification of the decision tree for the obtained indicators;

[0051] Decision tree trigger module: trigger the task of decision tree execution, divided into time trigger and behavior trigger;

[0052] Decision-making behavior output module:...

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Abstract

The invention relates to a decision-making behavior generation method and system based on a decision-making tree, and the method comprises the steps: S1, carrying out the feature extraction from customer information, and obtaining an available index for the application of the decision-making tree; Ss2, forming a father/child relationship among all the single nodes according to the types, node codes and input/output parameters of all the single nodes in the decision tree; Ss3, performing condition configuration on each node to obtain a decision path, and performing verification to obtain a decision tree; Ss4, performing batch pre-running on the decision tree to obtain a decision tree batch pre-running result, and verifying the batch pre-running result to obtain an available decision tree; Ss5, configuring the batch running starting point of the available decision tree to obtain a decision tree batch running task and a decision tree version; and S6, performing batch running tasks throughthe decision tree of the system application to obtain decision behaviors which can be executed immediately. According to the method, tThe decision tree can be efficiently constructed, dynamic real-time positioning of clients can be realized, decision actions are timely output, and timely execution of client decision behaviors is effectively realized.

Description

technical field [0001] The invention relates to a method and system for data processing and data mining, in particular to a method and system for generating decision-making behavior based on a decision tree. Background technique [0002] Decision tree is a machine learning method based on tree structure. Since everyone's behavior has certain behavioral basis, the decision tree can be used to analyze human behavior, and then obtain the corresponding decision-making behavior basis. This method is more and more widely used in the current Internet field. [0003] Decision tree has good interpretability, can effectively help decision makers to carry out decision analysis, and is widely used in bank credit modeling. Modelers can manually configure the tree structure and affiliation relationship to obtain a decision tree. [0004] Commonly used decision tree construction tools such as SAS are stand-alone interactive modeling tools. The main feature is that data modeling can be re...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06Q40/02
CPCG06Q40/03G06F18/24323
Inventor 姜文玲卫浩彭恒
Owner SICHUAN XW BANK CO LTD
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