Question: The data analytics on determining fraud transactions may involve association rule mining. The following table shows a list of credit card transactions. Please work out
The data analytics on determining fraud transactions may involve association rule mining. The following table shows a list of credit card transactions. Please work out the support and confidence of rule {Middle-aged user, between 13 and 21, Internet Channel} ->{Average amount}, and explain the meanings of the two values. List your mathematic steps please.
Transaction ID
|
| Age of user | Time of transaction | Channel of transaction | Amount of Transaction |
| 1 | Old | Between 7 and 13 | POS channel | Low |
| 2 | Young | Between 0 and 7 | Mobile channel | Average |
| 3 | Middle-aged | Between 13 and 21 | Internet channel | Average |
| 4 | Middle-aged | Between 21 and 24 | Mobile channel | High |
| 5 | Young | Between 21 and 24 | Mobile channel | Low |
| 6 | Old | Between 12 and 21 | POS channel | Average |
| 7 | Middle-aged | Between 13 and 21 | Internet channel | Average |
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