1. Suppose you have the following noisy data: 33, 23, 40, 22, 46, 33, 52, 27, 43, 38, 28 Smooth the data above by:
a) Bin Means with bins of size 4.
b) Bin Boundaries with bins of size 4.
2. Use Min/Max normalization to represent the hypothetical data below in the scale [1-10]
28 - 35 - 62 - 69 - 73
3. By using decimal scaling, normalize the values of 8, 66, 171 that falls between 1 and 999.
4. The Table below shows hypothetical data of transactions. Each transaction include set of items I (itemset), where I = {X, Y, Z, M, N}
|
Transaction
|
Itemset
|
|
1
|
X Z M
|
|
2
|
X Y
|
|
3
|
X Y Z
|
|
4
|
X Y M N
|
Accordingly, use Aproiri Algorithm to find association rule from frequent itemset Li that meet a minimum support of 3 and minimum confidence of 75%.