2the Task - Correlation Rule Extraction and Outlier Detection Prices Question 1 Suppose we have ten product codes (from 0 to 9) and the following table of transactions Identifier Transaction 1

2 3 4 5 6 7 8 9 10 Products 0, 1, 3, 4 1, 2, 3 1, 2, 4, 5 1, 3, 4, 5 2, 3, 4, 5 2, 4, 5 3,A 1, 2, 3 1, 4, 5 B,4 where, the penultimate and last digit of your registration number divided by2 and rounded to the nearest unit. That is, if your registration number ends in 12, then you will set = 1/2= 0.5 that is1 and =2/2= 1. But if the penultimate digit of the number your registry is either 5 or 6, you will set = 4. Accordingly, if the last digit of the number your register is either 3 or 4, you will set = 2. Please answer the following questions, showing your calculations: 1. Compute the support of the sets {4,5} and {3, 5} 2. The support and trust of the rules {4, 5} → {3} and {3, 5} → {2} 3. Run the Apriori Algorithm with the method Fk-1X F k-1 for support threshold equal to 2 and report which frequent sets you find at each step