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

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...

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