Business processing method and apparatus, and electronic device

Abstract

The embodiment of the invention provides a service processing method and device and electronic equipment, and the method comprises the steps: carrying out the clustering of a feature decision diagram through employing a graph clustering mode, clustering the nodes in the feature decision diagram into a plurality of clustering clusters, bridge nodes and outlier nodes, and carrying out the clustering of the clustering clusters, the bridge nodes and the outlier nodes based on the file features in a to-be-classified file, according to the sequence of outlier nodes, bridge nodes, intra-cluster nodes and core nodes, the decision trees are screened to obtain a target decision tree, screening is carried out from the feature decision diagram for the first time, and screening is carried out from screening results of previous screening in each screening except for the first screening; classifying the to-be-classified file based on the target decision tree, and determining the file type of the to-be-classified file; and under the condition that the to-be-classified file passes through the verification strategy corresponding to the file type, initiating a first service corresponding to the file type. In the embodiment of the invention, multiple times of screening are utilized, the number of decision trees for judging the file types of the files to be classified is reduced, and the business processing efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a business processing method and device, and electronic equipment. Background technique [0002] In the current annuity system, a large number of business documents of different businesses are exchanged between various institutions, and even documents of the same type of business in different institutions (such as transfer forms, payment business forms, and payment schedules) have different form formats and attribute characteristics. Similarly, with such a large number and complex business documents, at the earliest, the salesman was required to manually classify each document category. [0003] At present, in order to improve the classification efficiency of business documents, a decision tree is used to realize automatic classification of business documents. Such as figure 1 Shown is a schematic flow chart of the current business processing. The business proc...

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a business processing method, device, and electronic equipment to solve the problem in the prior art that traversing all decision trees leads to low file classification efficiency in the business processing process

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