My final exam is coming up next week and I am working through some problems to p

Question

My final exam is coming up next week and I am working through some problems to prepare for it but need some help on two data mining questions. Can anybody help me? Please show the steps on how you got your answers
1. Using the Apriori algorithm, show how 1, 2, and 3-item frequent itemsets will be generated. min_sup = 50% and min_conf = 70%.
2. With Support S and Confidence C, list all strong association rules with the data below. Use the format of X & Y -> Z and show how these rules are generated. If needed, use min_sup = 20% and min_conf = 60%.

Transaction ID - Items Bought
1 - Hamburgers, Cheese, Gatorade, Waffles
2 - Gatorade, Cheese, Ice cream, Cherries, Waffles
3 - Ice cream, Cheese, Waffles, Cherries
4 - Waffles, Cheese, Gatorade
My final exam is coming up next week and I am working through some problems to prepare for it but need some help on two data mining questions. Can anybody help me? Please show the steps on how you got your answers
1. Using the Apriori algorithm, show how 1, 2, and 3-item frequent itemsets will be generated. min_sup = 50% and min_conf = 70%.
2. With Support S and Confidence C, list all strong association rules with the data below. Use the format of X & Y -> Z and show how these rules are generated. If needed, use min_sup = 20% and min_conf = 60%.

Transaction ID - Items Bought
1 - Hamburgers, Cheese, Gatorade, Waffles
2 - Gatorade, Cheese, Ice cream, Cherries, Waffles
3 - Ice cream, Cheese, Waffles, Cherries
4 - Waffles, Cheese, Gatorade 1. Using the Apriori algorithm, show how 1, 2, and 3-item frequent itemsets will be generated. min_sup = 50% and min_conf = 70%.

Explanation / Answer

1 - Hamburgers ==> Cheese, Gatorade Cherries, Cheese Cheese ==> Gatorade

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