Invention Grant
US08090648B2 Fraud detection based on efficient frequent-behavior sorted lists
有权
基于有效的频繁行为排序列表的欺诈检测
- Patent Title: Fraud detection based on efficient frequent-behavior sorted lists
- Patent Title (中): 基于有效的频繁行为排序列表的欺诈检测
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Application No.: US12398141Application Date: 2009-03-04
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Publication No.: US08090648B2Publication Date: 2012-01-03
- Inventor: Scott M. Zoldi , Hua Li , Xinwei Xue
- Applicant: Scott M. Zoldi , Hua Li , Xinwei Xue
- Applicant Address: US MN Minneapolis
- Assignee: Fair Isaac Corporation
- Current Assignee: Fair Isaac Corporation
- Current Assignee Address: US MN Minneapolis
- Agency: Mintz, Levin, Cohn, Ferris, Glovsky and Popeo, P.C.
- Main IPC: G06Q40/00
- IPC: G06Q40/00
Abstract:
A computerized method for detecting fraud includes obtaining frequency information on entities in transaction data for at least one individual account, converting frequency information to a frequency variable, and predicting whether an activity is fraudulent in response to the frequency variable. In some embodiments, the frequency variable is used with at least one other variable to predict fraudulent activity.
Public/Granted literature
- US20100228580A1 FRAUD DETECTION BASED ON EFFICIENT FREQUENT-BEHAVIOR SORTED LISTS Public/Granted day:2010-09-09
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