you learned about sequential association rules. An example in the market basket application would be: if someone buys A in one transaction, then very likely he/she will soon buy B in another transaction. Let's now think about the "reverse" association rules --- if someone bought B, then very likely he/she had bought A in an earlier transaction. Based on what you have learned so far, how can you find such reverse association rules from data?