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In line with the expansion of credit card use, crimes by using forged or stolen cards are also increasing. In order to further assure credibility of credit management, Intelligent Wave developed the “ACE” fraudulent use detection system with a score/rule system for such crime patterns as its base, and further expanded its functions.
A new score judgment system that incorporates the score judgment functions “customer behavior score model detection” and “past illegal use cases score model detection” has realized highly accurate judgment results that surpass the conventional score judgment system.
Furthermore, the function to automatically analyze past use data and propose rules (data mining) has significantly reduced the workload of finding and setting rules, which has been regarded a difficult part of rule based systems.
By utilizing the advanced judgment function of the score/rule based system, ACE realizes high-precision and strategic detection of fraudulent card use.
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