Target node key information filling method and system based on association network

Abstract

The invention discloses a target node key information filling method and system based on an association network, and belongs to the technical field of data mining, machine learning and graph theory. The problem of low accuracy of the filled key information of the target node in the prior art is solved. According to an application scene, the method comprises steps of establishing a relational network of a large number of nodes; based on network relation, obtaining an association network of a target node with key information, integrating the association network into a data structure comprising atarget node, a label, an association node, an association node weight and an attribute vector, performing multiple three-dimensional sampling on the data structure based on an improved random forestmethod to obtain a subset of a plurality of training decision trees, giving a plurality of decision trees to perform training, and performing integration after training to obtain a final model; and based on the associated nodes of the to-be-filled target node, performing prediction through the final model, and performing weighted average on multiple results after prediction to obtain final fillinginformation. The key information of the target node is filled based on the association network.

Description

technical field [0001] A method and system for filling key information of a target node based on an association network, used for filling key information of a target node based on an association network, belonging to the technical fields of data mining, machine learning, and graph theory. Background technique [0002] In many scenarios, there is a need to predict the key information of the target when there is insufficient target information. Specific scenarios include the fields of financial credit, e-commerce recommendation, health assessment, and other fields. [0003] Scenario 1: In the field of financial credit, how to conduct credit evaluation for credit white account access. The credit white account itself does not have enough basic credit information for financial institutions to evaluate its repayment willingness and repayment ability. At this time, the relevant information of the target node's close relatives (that is, the adjacent network nodes) can be used as th...

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Problems solved by technology

[0015] In view of the problems of the above research, the purpose of the present invention is to provide a method and system for filling key information of target nodes based on an associated network, to solve the problem in the prior art that (1) when filling key information of target nodes, it is necessary to rely on the target node itself The characteristics of the target node, in the case that the target node has no relevant features, it is impossible to fill the key information of the target node; (2) the accuracy of the key information of the target node is low; (3) the problem of occupying a lot of resources

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