Fraud detection based on efficient frequent-behavior sorted lists
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United States of America Patent
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Sep 26, 2017
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app pub date -
Dec 29, 2011
filing date -
Mar 4, 2009
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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.
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