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.

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