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Fraud detection method and system based on hierarchical clustering

A hierarchical and clustering technology, applied in data processing applications, instruments, computing, etc., can solve problems such as low detection accuracy, unbalanced categories, and incomplete performance considerations.

Active Publication Date: 2021-02-12
TONGJI UNIV
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  • Claims
  • Application Information

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Problems solved by technology

[0005] In view of the above shortcomings of the prior art, the purpose of the present invention is to provide a fraud detection method and system based on hierarchical clustering, which solves the problems of incomplete consideration of performance, low detection accuracy and unbalanced categories in the prior art. technical problem

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  • Fraud detection method and system based on hierarchical clustering
  • Fraud detection method and system based on hierarchical clustering
  • Fraud detection method and system based on hierarchical clustering

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Embodiment Construction

[0065] The implementation of the present invention will be illustrated by specific specific examples below, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification.

[0066] see Figure 1 to Figure 12 It should be noted that the structures shown in the drawings attached to this specification are only used to cooperate with the content disclosed in the specification for the understanding and reading of those who are familiar with this technology, and are not used to limit the conditions for the implementation of the present invention. It has no technical substantive meaning, and any modification of structure, change of proportional relationship or adjustment of size shall still fall within the scope of the disclosure of this utility model without affecting the functions and objectives of this utility model. within the range covered by the technical content. At the same time, term...

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Abstract

A method and system for fraud detection based on hierarchical clustering, which acquires and analyzes characteristic analysis data of transaction characteristic information, selects a clustering model according to the characteristic analysis data; obtains sample data sets, and hierarchically clusters the sample data sets according to the clustering model To construct a tree structure, and divide the sample data set into the leaf nodes of the tree structure; classify the leaf nodes to obtain node type data; process the leaf nodes in the clustering tree model according to the node type data, complete the detection of fraudulent transactions, and solve The technical problems of incomplete consideration of performance, low detection accuracy and unbalanced categories in the existing technology are solved.

Description

technical field [0001] The invention relates to a financial fraud detection system, in particular to a hierarchical clustering-based fraud detection method and system. Background technique [0002] With the rapid development of e-commerce, the volume of online transactions has increased dramatically, and transaction fraud incidents have occurred frequently. Due to the openness of the Internet environment, fraudsters can master a variety of fraudulent means such as phishing websites and telephone fraud; at the same time, due to the diversity and anonymity of payment methods, fraud patterns are constantly changing. Faced with these problems, it is difficult for financial companies to detect fraudulent transactions through traditional rule-based expert systems, which cause serious economic losses to companies and individuals. Therefore, it is of great practical significance to study how to establish an effective transaction fraud detection model. [0003] In order to solve th...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06Q30/00
Inventor 蒋昌俊闫春钢丁志军刘关俊张亚英张友军
Owner TONGJI UNIV