Question: in also learns frequent pattern mining algorithms. So he wants to use the above dataset as a actice. He transformed the dataset in Table 2

in also learns frequent pattern mining algorithms. So he wants to use the above dataset as a actice. He transformed the dataset in Table 2 into the dataset in the following Table 3 Table 2. Temperatures and AC operations Table 3. New dataset Index OutTemp G AC off On InTem Transaction ID tems Hot Hot Hot Cold Cold Hot Cold Hot Hot Cold 1,12,13 4, 15,13 4, 12,16 14, 15, 16 11, 15, 13 On Cold Cold Cold 14, 15, 13 11, 12, 13 14, 15, 13 8ColdCold Hot Cold 10 11, 12, 13 10 Off The meaning of each item in Table 3 is shown in Table 4. Table 4. Meaning of each item Meaning Item Outdoor Temp: Cold AC Running Condition: Off 12 13 14 15 16 Indoor Temp : Cold Outdoor Temp: Hot AC Running Condition: On Indoor Temp: Hot Problem 7.(20 points) Given the dataset in Table 3, please illustrate how to mine the frequent itemsets using the Apriori algorithm. The minimum support (min_sup) threshold is set to 3. In the end, please list all the frequent itemsets mined

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