Timeline for Credit card fraud detection - anomaly detection based on amount of money to be withdrawn?
Current License: CC BY-SA 3.0
3 events
| when toggle format | what | by | license | comment | |
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| Oct 3, 2015 at 22:37 | comment | added | idclark | source, destination and frequency of transactions would be separate features. Imagine if a transaction went to a destination account that it has never gone to before, that indicate a fraudulent transaction | |
| Oct 3, 2015 at 6:42 | comment | added | CN1002 | This has given me a starting point, thanks for the link I am looking into it. As for the four features - source, destination, volume and frequency of transactions, do they relate to LOP or they are other attributes I would consider for signalling a fraudulent transaction? Please, may you explain on the additional features. | |
| Oct 2, 2015 at 12:20 | history | answered | idclark | CC BY-SA 3.0 |