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let I = { I1, I2, I3, , I10 } be a set of items, where Ij denotes an item ID. Consider the transaction database

let I = { I1, I2, I3, …, I10 } be a set of items, where Ij denotes an item ID. Consider the transaction database D, defined in the table below:

Transaction ID List of Items in the Transaction

T1 I1, I3, I4

T2 I1, I2

T3 I5, I6, I7,I9

T4 I1, I2, I6,I10

T5 I1, I6, I8,I9


(1) Determine the support and the confidence of the association rule A ⇒ B, where

A = { I1 }, B = { I2 }

(2) Is the rule A⇒ B given above strong if

(a) min_sup = 30%

(b) min_sup = 50%

(3) Suppose that the minimum support count threshold is set to 30%,

(a) is { I1, I3, I4 } a frequent item set?

(b) is { I6, I9 } a frequent item set?

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