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Science Forum Index » Statistics - Education Forum » Credit Card Fraud Detection
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| Author |
Message |
| Piyush |
 Posted: Sat Nov 25, 2006 10:14 am |
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Guest
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Hi all,
I am looking to work on a credit card fraud detection model (using
SAS). The approach will be to develop business rules which when applied
to every transaction, will give some sort of a risk score, which can be
used to identify the likelihood of the transaction being good or bad.
If anybody has any study material/pointers/knowledge on credit card
fraud detection (or fraud detection in general), your help will be
highly appreciated.
Also, I already tried to develop one such model with some credit card
transaction datasets that I had access to. However, the problem was
that because they werent meant to be used for fraud detection, the data
sets did not have a labelled fraud field, ie, one which says whether
the transaction was good or bad. For me, without that field it was
impossible to build a meaningful model. Can anybody think of a
workaround - like generating a dummy fraud field for example? Maybe I
didnt have enough knowledge about building such systems. Your inputs
will be really helpful.
Thanks,
Piyush.
PS: Apologies for cross posting. |
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