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Data Mining Assignment

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Added on  2020-03-16

Data Mining Assignment

   Added on 2020-03-16

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Data Mining Assignment_1
Question 1(i)The first association rule highlights that the purchase of brushes would lead to a purchaseof nail polish Associated confidence level: 100%The second association rule highlights that the purchase of nail polish would lead to apurchase of brushes.Associated confidence level: 63.22%1
Data Mining Assignment_2
The third association rule highlights that the purchase of nail polish would lead to apurchase of bronzes.Associated confidence level: 59.19%(ii)The redundancy of rule can be a problem issue in association rules and hence they need toidentified and eliminated. For the present output, an opt candidate for redundancy is rule 2.The ancestor rule for this is essentially rule 1. The lift ratio for the two has come out to besame. Hence, the rule 2 does not provide any incremental value and is redundant (Hong,Kuo & Chi, 1999).The utility analysis of the association rules needs to pay attention to two aspects identifiedbelow.Lift ratio – Indication of supportConfidence level – Indication of confidence Rules with higher value in atleast one aspect are usually considered useful as they containvaluable information regarding the underlying purchasing patterns of consumers (Berkhin,2015). (iii) XL miner output (Minimum confidence level altered 75%)2
Data Mining Assignment_3

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