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METHOD AND SYSTEM FOR DETECTING FRAUDULENT TRANSACTIONS USING A FRAUD DETECTION MODEL TRAINED BASED ON DYNAMIC TIME SEGMENTS
METHOD AND SYSTEM FOR DETECTING FRAUDULENT TRANSACTIONS USING A FRAUD DETECTION MODEL TRAINED BASED ON DYNAMIC TIME SEGMENTS
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机译:使用基于动态时间段训练的欺诈检测模型来检测欺诈交易的方法和系统
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摘要
Certain aspects of the present disclosure provide techniques for detecting fraudulent transactions in a transaction processing system. An example method generally includes receiving a request to process a transaction. An input data set including a vector representing the transaction and a plurality of vectors representing historical transactions is generated. The input data set is divided into a plurality of ragged tensors corresponding to non-overlapping time segments of variable length and having a plurality of vectors associated with dates within each time segment A reduced input data set is generated by generating, for each respective ragged tensor of the plurality of ragged tensors, a respective representative vector using max pooling over vectors in the ragged tensor. A fraudulent transaction score is generated based on the reduced input data set using a fraud detection model. The transaction is processed based, at least in part, on the fraudulent transaction score.
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