Detecting fraud can be tough. It's like trying to find a needle in a haystack. Here are some challenges we face:

1. Limitations:

   • Many false alarms make it hard to spot real fraud.
   • Fraud can look different each time, which makes it hard to group them together.

2. Complexity:

   • Some unusual patterns are tricky to notice and need special techniques to find.
   • Poor quality data can mess up our ability to group things properly.

Solutions:

• We can mix different grouping methods with supervised approaches to get better results.
• Using team-up methods can help reduce confusion and make real signals easier to see.