Incremental factorization-based smoothing of sparse multi-dimensional risk tables
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United States of America Patent
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Mar 6, 2012
Grant Date -
Dec 31, 2009
app pub date -
Jun 27, 2008
filing date -
Jun 27, 2008
priority date (Note) -
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Abstract
A system for classifying a transaction as fraudulent includes a training component and a scoring component. The training component acts on historical data and also includes a multi-dimensional risk table component comprising one or more multidimensional risk tables each of which approximates an initial risk value for a substantially empty cell in a risk table based upon risk values in cells related to the substantially empty cell. The scoring component produces a score, based in part, on the risk tables associated with groupings of variables having values determined by the training component. The scoring component includes a statistical model that produces an output and wherein the transaction is classified as fraudulent when the output is above a selected threshold value.
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