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Anti-fraud data analysis method and system

A data analysis and database technology, applied in the field of data analysis, can solve the problems of single anti-fraud data analysis model, low efficiency, inaccurate analysis results, etc., to improve the recognition accuracy, intuitive observation, and good user experience.

Inactive Publication Date: 2018-05-15
SHANGHAI QIANLONG INFORMATION TECH CO LTD
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Problems solved by technology

[0003] In view of the above-mentioned shortcomings of the prior art, the object of the present invention is to provide an anti-fraud data analysis method and system, which is used to solve the problems in the prior art that the anti-fraud data analysis model is single, the analysis results are inaccurate, and the efficiency is low.

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Embodiment Construction

[0026] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

[0027] It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic ideas of the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and number of componen...

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Abstract

The invention provides an anti-fraud data analysis method and system. The method comprises the steps of obtaining a data mart and a graph database from a back-end database, and sending the data mart and the graph database to an analysis model, wherein the data mart and the graph database are generated according to pre-collected basic data on fraud; analyzing the data mart and the graph database bythe analysis model to obtain an analysis result; and outputting the analysis result to a front end and performing display. An individual fraud risk identification model is combined with a group fraudrisk identification model; and an anti-fraud system is completer. Supervised learning, semi-supervised learning and unsupervised learning are integrated; the data is processed; the identification accuracy is improved; and the model is higher in updating speed and higher in adaptability. Meanwhile, an anti-fraud real-time scoring system is established; the scoring calculation is more accurate; andan anti-fraud analysis result is more intuitive to observe. A visual user relationship map also can intuitively display the analysis result, so that the user experience is good.

Description

technical field [0001] The invention relates to the field of data analysis, in particular to an anti-fraud data analysis method and system. Background technique [0002] In the existing anti-fraud data analysis, the data analysis model is usually relatively single, which cannot form a relatively complete anti-fraud system, and the identification of fraud risks is not accurate and the identification rate is low. Moreover, the traditional database with anti-fraud data is inefficient in processing user-associated data and cannot meet existing requirements. Contents of the invention [0003] In view of the above-mentioned shortcomings of the prior art, the object of the present invention is to provide an anti-fraud data analysis method and system, which is used to solve the problems in the prior art that the anti-fraud data analysis model is single, the analysis results are inaccurate, and the efficiency is low. . [0004] In order to achieve the above object and other relat...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/00G06Q30/06G06K9/62
CPCG06Q30/0185G06Q30/0609G06F18/40G06F18/2433
Inventor 何同国张鹏罗小勇
Owner SHANGHAI QIANLONG INFORMATION TECH CO LTD
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