公开(公告)号：US10956987B2

公开(公告)日：2021-03-23

申请号：US16426826

申请日：2019-05-30

申请人： American Express Travel Related Services Company, Inc.

发明人： Kamal Gupta ,  Vidit Jain

IPC分类号： G06Q40/00 ,  G06N3/08 ,  G06Q30/02

摘要： The systems and methods herein may include receiving a plurality of transactions for a plurality of consumers, wherein each respective transaction of the plurality of transactions is between a consumer of the plurality of consumers and a merchant of a plurality of merchants; automatically inputting the plurality of transactions into a neural network; automatically analyzing the plurality of transactions over a plurality of iterations, wherein an iteration of the plurality of iterations comprises cycling through a consumer transaction history associated with the consumer, wherein the consumer transaction history has a consumer transaction sequence associated with the consumer; and automatically updating over the plurality of iterations, a previous fraud detection variable associated with the consumer and/or the merchant to generate updated fraud detection variables, in response to the analyzing the plurality of transactions.

公开(公告)号：US20190279309A1

公开(公告)日：2019-09-12

申请号：US16426826

申请日：2019-05-30

申请人： American Express Travel Related Services Company, Inc.

发明人： Kamal Gupta ,  Vidit Jain

IPC分类号： G06Q40/00 ,  G06N3/08

摘要： The systems and methods herein may include receiving a plurality of transactions for a plurality of consumers, wherein each respective transaction of the plurality of transactions is between a consumer of the plurality of consumers and a merchant of a plurality of merchants; automatically inputting the plurality of transactions into a neural network; automatically analyzing the plurality of transactions over a plurality of iterations, wherein an iteration of the plurality of iterations comprises cycling through a consumer transaction history associated with the consumer, wherein the consumer transaction history has a consumer transaction sequence associated with the consumer; and automatically updating over the plurality of iterations, a previous fraud detection variable associated with the consumer and/or the merchant to generate updated fraud detection variables, in response to the analyzing the plurality of transactions.

公开(公告)号：US10339606B2

公开(公告)日：2019-07-02

申请号：US15258880

申请日：2016-09-07

申请人： American Express Travel Related Services Company, Inc.

发明人： Kamal Gupta ,  Vidit Jain

IPC分类号： G06N3/08 ,  G06Q40/00

摘要： The systems and methods herein may include receiving a plurality of transactions for a plurality of consumers, wherein each respective transaction of the plurality of transactions is between a consumer of the plurality of consumers and a merchant of a plurality of merchants; automatically inputting the plurality of transactions into a neural network; automatically analyzing the plurality of transactions over a plurality of iterations, wherein an iteration of the plurality of iterations comprises cycling through a consumer transaction history associated with the consumer, wherein the consumer transaction history has a consumer transaction sequence associated with the consumer; and automatically updating over the plurality of iterations, a previous fraud detection variable associated with the consumer and/or the merchant to generate updated fraud detection variables, in response to the analyzing the plurality of transactions.

公开(公告)号：US20180068395A1

公开(公告)日：2018-03-08

申请号：US15258880

申请日：2016-09-07

申请人： American Express Travel Related Services Company, Inc.

发明人： Kamal Gupta ,  Vidit Jain

IPC分类号： G06Q40/00 ,  G06N3/08

CPC分类号： G06Q40/12 ,  G06N3/084

摘要： The systems and methods herein may include receiving a plurality of transactions for a plurality of consumers, wherein each respective transaction of the plurality of transactions is between a consumer of the plurality of consumers and a merchant of a plurality of merchants; automatically inputting the plurality of transactions into a neural network; automatically analyzing the plurality of transactions over a plurality of iterations, wherein an iteration of the plurality of iterations comprises cycling through a consumer transaction history associated with the consumer, wherein the consumer transaction history has a consumer transaction sequence associated with the consumer; and automatically updating over the plurality of iterations, a previous fraud detection variable associated with the consumer and/or the merchant to generate updated fraud detection variables, in response to the analyzing the plurality of transactions.