I wonder if anyone knows of an example that makes fraud detection. Does anyone know a simple and practical example in RapidMiner? I plan to detect fraud and not find what the best algorithm to detect fraud.
Basically, we created a lot of additional attributes from the transaction data (like the number of transactions on one day compared with the number of monthly and weekly transactions, the transaction amount compared to averages, if the amount was a round number, if the same transaction was repeated, if the partner in the transaction was new or existing, if there was a security related event like password change).
The best performing learners were W-RandomForest, AdaBoosted Decision Tree and SVM.
I came across this article that thoroughly answerswhat automobile insurance fraud is. Its elements and types? How to fight it? And what challenges in detecting fraud in automobile insurance?
Answers
Basically, we created a lot of additional attributes from the transaction data (like the number of transactions on one day compared with the number of monthly and weekly transactions, the transaction amount compared to averages, if the amount was a round number, if the same transaction was repeated, if the partner in the transaction was new or existing, if there was a security related event like password change).
The best performing learners were W-RandomForest, AdaBoosted Decision Tree and SVM.
You have a data set and can share to test in RapidMiner?
Regards,
FLávio Loureiro