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Data Mining : Assignment Doc

   

Added on  2020-03-16

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Data Mining : Assignment Doc_1
Question 1The given task deals with association rules based on the given binary cosmetic data using XLminer as the analysis tool. (i)Rule #1: If a brushes purchase is done by the customers, then with 100% likelihood, thenail polish purchase would also be made. Rule #2: If a nail polish purchase is done by the customers, then with 63.22% likelihood,the brushes purchase would also be made.Rule #3: If a nail polish purchase is done by the customers, then with 59.20% likelihood,the bronzer purchase would also be made..1
Data Mining : Assignment Doc_2
(ii)When association rules are used, there is a common occurrence of rule redundancy. This isthe case when the observed support level of a particular rule of association is predictableon the basis of the earlier rule which is immediate more significant rule and also is labeledas ancestor. For the given case, the redundancy is observed for Rule 2. Rule 1 (Support or lift ratio) = Rule 2 (Support or lift ratio)Rule 1(Confidence Level) > Rule 2 (Confidence Level)Thus, when viewed in the context of Rule 1, the Rule 2 would be deemed as redundant andhence may be ignored from the output (Leibowitz, 2015).For assessment of the underlying utility of the association rules, it is critical that these rulesmust be considered collectively rather than individually. This is because collectiveconsideration allows for a unified picture to exist which can disseminate criticalinformation. However, the attributes of these association rules can also be judgedindependently through consideration to two main aspects namely confidence and support.Having higher value in atleast one aspect tends to lead to potential use of the givenassociation rule (Zaki, 2000)..(iii)Revised association rule (minimum confidence level 75%).2
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