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公开(公告)号:US11087180B2
公开(公告)日:2021-08-10
申请号:US16802627
申请日:2020-02-27
Applicant: Advanced New Technologies Co., Ltd.
Inventor: Wenhao Zheng , Yalin Zhang , Longfei Li
Abstract: A feature extraction is performed on transaction data to obtain a user classification feature and a transaction classification feature. A first dimension feature is constructed based on the user classification feature and the transaction classification feature. A dimension reduction processing is performed on the first dimension feature to obtain a second dimension feature. A probability that the transaction data relates to a risky transaction is determined based on a decision classification of the second dimension feature, where the decision classification is based on a pre-trained deep forest network including a plurality of levels of decision tree forest sets.