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Model & Algorithm for fraudulent Credit Card transaction

735554Nov 18 2009 — edited Jan 25 2010
Hello Everyone,

I am new to datamining. Currently I am working on an acedemic project related to credit card fraudlent transactions. My objective is to classify a new transaction as normal or fraudlent. AFAIK the classification/scoring will be different for each card right? Like if some customer's past average transaction amount is let's say $100 and if a new transaction occurs from the same card whose transaction amount is let's say $1000 so that could be suspected as fraudlent transaction. So these conditions will vary to card to card or customer to customer. Please correct me if what i think is wrong?

Can anyone help me which model and algorithm is best for this scenerio? Any help would be greatly appreciated.
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Locked on Feb 22 2010
Added on Nov 18 2009
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