Reference no: EM131355428
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}
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Transaction
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Itemset
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1
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X Z M
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2
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X Y
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3
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X Y Z
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4
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X Y M N
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Accordingly, use Aproiri Algorithm to find association rule from frequent itemset Li that meet a minimum support of 3 and minimum confidence of 75%.
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Normalization to represent the hypothetical data
: 1. Suppose you have the following noisy data: 33, 23, 40, 22, 46, 33, 52, 27, 43, 38, 28 2. Use Min/Max normalization to represent the hypothetical data below in the scale [1-10]
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