- Patent Title: Fraud detection based on efficient frequent-behavior sorted lists
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Application No.: US13340469Application Date: 2011-12-29
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Publication No.: US09773227B2Publication Date: 2017-09-26
- Inventor: Scott M. Zoldi , Hua Li , Xinwei Xue
- Applicant: Scott M. Zoldi , Hua Li , Xinwei Xue
- Applicant Address: US MN Roseville
- Assignee: FAIR ISAAC CORPORATION
- Current Assignee: FAIR ISAAC CORPORATION
- Current Assignee Address: US MN Roseville
- Agency: Mintz Levin Cohn Ferris Glovsky and Popeo, P.C.
- Main IPC: G06Q10/10
- IPC: G06Q10/10 ; G06Q40/02 ; 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
- US20120101937A1 FRAUD DETECTION BASED ON EFFICIENT FREQUENT-BEHAVIOR SORTED LISTS Public/Granted day:2012-04-26
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