Consider the data set shown in Table 6.1.

(a) Compute the support for itemsets {e}, {b, d}, and {b, d, e} by treating each transaction ID as a market basket.
(b) Use the results in part (a) to compute the confidence for the association rules {b, d} †’ {e} and {e} †’ {b, d}. Is confidence a symmetric measure?
(c) Repeat part (a) by treating each customer ID as a market basket. Each item should be treated as a binary variable (1 if an item appears in at least one transaction bought by the customer, and 0 otherwise.)
(d) Use the results in part (c) to compute the confidence for the association rules {b, d} †’ {e} and {e} †’ {b, d}.
(e) Suppose s1 and c1 are the support and confidence values of an association rule r when treating each transaction ID as a market basket. Also, let s2 and c2 be the support and confidence values of r when treating each customer ID as a market basket. Discuss whether there are any relationships between s1 and s2 or c1 and c2.

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Table 6.1. Example of market basket transactions ustomer ansaction tems 0001 0024 0012 0031 0015 a, b, d, e a, c, d, e (b, c,et (b, d, e c, dy a, b, ch a, d, e 0029 0040 0033 0038