I would only ask one at a time, but all 4 are related, so i included all.

A B X1 al b1 X2 a2 b1 X3 a2 b2 X4 a2 b2 X5 a2 b1 X6 a2 b2 c1 X7 a2 b1 C2 IIFIINFO X8 a1 b2 c2 Table 1. 1. Using table 1, calculate, for the following rules, there measures: (1) support, (2) confidence, (3) all confidence, (4) Kulczynski, (5) Lift and (6) cosine (18 pts): a. A1 = => L b. A2, B2 ==> H C. A2, C2 = => H 2. Which of the above measures are Null-Invariant (6pts). For the ones that are not null invariant, provide an example illustrating why it isn't Null-Invariant. (6pts). 3. From Table 1, generate all itemsets frequent itemsets when the minsup is 37.5% using the Apriori algorithm - show major steps (15 pts). Now, for FP-Growth, show the (a) the Initial Header table after the first scan but before pruning/reduction, the FP-Growth Tree (with header table) after the FP-Tree is first created, and the first conditional tree produced when you start mining (15 pts). 4. Show all strong rules, from Table 1, where the min confidence is 35%, and minsup is the same as in question 3. (15pt)