Association rule studying is a technique for discovering attention-grabbing relations between variables in massive databases. For instance, the rule onions, potatoes ==> burger discovered in the sales information of a grocery store would indicate that if a buyer buys onions and potatoes collectively, they are prone to additionally buy hamburger meat. In fraud detection, association rules are used to detect patterns related to fraud. Linkage evaluation is performed to establish further fraud cases: if bank card transaction from person A was used to make a fraudulent purchase at store B, by analyzing all transactions from store B, we might find another consumer C with fraudulent exercise.
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