Credit fraud detection method and system
A detection method and detection system technology, applied in the credit field, can solve the problem of incompatibility between accuracy and training speed, and achieve the effects of simple structure, saving computing resources, and improving training speed and classification speed.
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[0107] This embodiment provides a specific implementation:
[0108] Obtain credit sample data. The credit sample data is the transaction data of European credit card holders in September 2013. The credit sample data comes from the research group (Worldline and the Machine Learning) located at the Université Libre de Bruxelles (ULB) in Belgium. Group).
[0109] PCA transformation is used to reduce the dimension of the credit sample data to obtain the dimension-reduced credit sample data. The dimension-reduced credit sample data contains 284,807 transaction records, and each transaction record contains 31 fields. For details, see Table 1. Each row of record fields A feature of:
[0110] Table 1 The specific information of a transaction record
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[0113] In Table 1, No. indicates the number, Time indicates the time, Float indicates that the data type is a floating point type, V1-V28 indicates the attribute name, Amount indicates the amount, and Class indic...
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