Comment

Comment by hafiz kashif munir on September 4, 2009 at 11:51am

im using Weka & C# with SQL server

Comment by hafiz kashif munir on September 4, 2009 at 11:50am

hi, im student & doing BCS final year project on "Distributed Data Mining in credit card fraud detection",
in which i have transaction records in which i want to layout fraudulent transaction by using Algo's approach, plz guide me

Comment by Eric on September 21, 2008 at 4:13am

!!Excellent work!! - it really speaks to the magnitude and complexity of an organized fraud.

Comment by chris on August 17, 2008 at 1:27pm

Colorful, but it appears one needs to know something about which colors between blue and red in order to understand "recency" - presumably chronology.
You would have a more informative picture if you put a "legend" for the color along the bottom or side axis

Comment by Jagdish Belwal on August 17, 2008 at 11:45am

What I would be interested in is "The representation is great but what is the objective of this graph - can it predict the next big one or does it help the investigation agencies in usefully analysing the trends...."

Comment by Vincent Granville on June 19, 2008 at 11:08pm

It involved several credit cards, several issuers and several merchants. Soome credit cards had just one fraud occurence (single ping).

Comment by Anuj Taneja on June 19, 2008 at 11:05pm

Interesting representation. Are these the fraud transactions on a bunch of credit cards compromised at a merchant/issuer?

Comment by Mark Richards on May 10, 2008 at 4:26pm

Eye Candy!
(Closer inspection allows me to see a very well formed & informative graph. I particularly like the color/time element!)