Method and device for identifying associated specific account and storage medium

Abstract

The invention discloses a method and a device for identifying an associated specific account, and a storage medium. The method comprises the following steps: firstly, constructing an isomorphic directed graph according to associated data between accounts within a period of time; then, according to some specific modes of the specific account, finding out a seed node which may be the specific account from the isomorphic directed graph; then, finding a connected sub-graph containing the seed nodes; dividing the connected sub-graph into a plurality of communities according to a community discoveryalgorithm, and evaluating each community to obtain a score corresponding to each community; and then, determining the community with the relatively high risk as the target community, and wherein theaccount represented by the node in the target community is the identified associated specific account. Therefore, by using the method, associated specific accounts can be automatically identified fromlarge-scale associated data by using data mining methods such as graph theory, graph operation, community discovery, social network analysis and the like through unsupervised learning.

Description

technical field [0001] The present invention relates to the technical field of data mining, in particular to a method, device and storage medium for identifying associated specific accounts. Background technique [0002] In recent years, with the rapid development of the Internet and the popularization of smart terminals, more and more daily activities or transactions can be completed through online self-service. At the same time, a large amount of relevant data will be generated. If these data can be fully utilized , and conduct some correlation analysis and data mining, you will get more instructive information and provide data support for high-level management and decision-making. [0003] Especially in specific industries, business data can also be used for some special business discovery, such as identifying a series of associated specific accounts related to the business based on the specific patterns of certain special businesses, so as to provide specific services fo...

AI Technical Summary

Problems solved by technology

However, the identification method using expert rules is often limited by the expression form of the rules and limited expert experience, and it is difficult to cover complex and changeable data patterns, resulting in a relatively large false negative rate

When machine learning techniques identify associated specific accounts, they usually use supervised learning algorithms, but supervised learning methods are limited by the number of sample labels and the ratio of positive and negative samples, and can only be effective for known specific patterns. Recognition, unable to detect new or slightly changed patterns, it is difficult to play its true role

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