Community mining method, apparatus and device, and storage medium

Abstract

The invention provides a community mining method and device, equipment and a storage medium, and relates to the technical field of data mining, and the method mainly comprises the steps: obtaining a plurality of pieces of transaction data, the transaction data being used for recording transaction behaviors between users, and the plurality of pieces of transaction data comprising annotation data; a network topological graph corresponding to the multiple pieces of transaction data is constructed, nodes of the network topological graph are users, and an edge connecting two nodes in the network topological graph indicates that transaction behaviors exist between the users; generating a feature vector of a feature corresponding to each piece of transaction data according to the network topological graph; according to the feature vector, a transaction data set to which the annotation data belongs is searched, the transaction data set comprises the annotation data and target data, and the target data comprises transaction data associated with the annotation data; and determining the transaction data set meeting a preset condition as a community mining result. According to the community mining method and device, the equipment and the storage medium provided by the invention, the efficiency and accuracy of community mining can be improved.

Description

technical field [0001] The present disclosure relates to the technical field of data mining, and in particular, to a community mining method, apparatus, device and storage medium. Background technique [0002] In recent years, the business scale and user scale of many Internet companies have continued to expand. Correspondingly, more and more users have used illegal means to obtain benefits from these businesses, and these users often exist in the form of communities. In order to avoid this The harm caused by such communities needs to be mined from a large amount of user data. [0003] In the prior art, community mining is generally performed by manually reviewing or constructing expert rules. However, manual review will, on the one hand, lead to poor stability of community mining results due to the different identification standards of different experts, on the other hand, will lead to low efficiency of community mining due to the large amount of data; in addition, the exp...

AI Technical Summary

Problems solved by technology

However, on the one hand, manual review will lead to poor stability of community mining results due to different identification standards of different experts; on the other hand, it will lead to low efficiency of community mining due to the large amount of data; Single and fixed, it is difficult to adapt to today's massive and complex data, which will lead to low accuracy of community mining results

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