10) (12 points) Suggestive Sell / Association Rules / Data Mining: Given the following set of base transactions,
a support level of 3, and a confidence level of 75% (.75), generate the frequent item sets at each level and
overall, and determine what association rules can be mined from this transaction set using the A Priori
algorithm we discussed in class. Show your work here or on the back of the page if more space is needed
(necessary for partial credit).
Apples (A), Bananas (B), Oranges (O)
Apples, Bananas, Grapes (G)
Apples, Bananas, Grapes, Oranges
Bananas, Raspberries (R)
Apples, Peaches (P), Raspberries
Apples, Grapes, Raspberries
Bananas, Grapes, Oranges, Raspberries
Apples, Watermelon (W)
Bananas, Watermelon
Apples, Bananas, Peaches
Bananas, Oranges, Peaches, Watermelon
Apples, Cantaloupe (C)
Bananas, Grapes
Apples, Bananas
Bananas, Grapes, Oranges
Apples, Grapes
Apples, Oranges
Apples, Grapes, Raspberries