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Study on Using of Association Rules

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Added on  2020-05-08

Study on Using of Association Rules

   Added on 2020-05-08

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Study on Using of Association Rules_1
Question 1XL Miner has been used as the appropriate tool for highlighting the association rules in thecontext of the given data on cosmetic purchases. The relevant data is indicated in the form of ascreenshot obtained from XL Miner desktop version.(i)Rule #1: The buying of brushes would be followed by the buying of nail polish with a100% confidence level.Rule #2: The buying of nail polish would be followed by the buying of brushes with a63.22% confidence level.1
Study on Using of Association Rules_2
Rule #3: The buying of nail polish would be followed by the buying of brushes with a59.20% bronzer..(ii)Definition: The rule redundancy tends to occur when the underlying support levelrepresented by lift ratio is anticipated fairly accurately by the rule predicting the same(Zaki, 2000).Application: To demonstrate an example of redundancy in association rules, an aptexample can be present by choosing rule #2. The lift ratio as represented for rule #1 andrule #2 does not differ at all. Also, the corresponding confidence level tends to higher forrule #1 when compared with rule #2. Thus, it may be emphasized that rule #2 facesredundancy here on account of rule 1. Utility: Even though the association rules can be interpreted in isolation as has been donein part (1) but their actual utility can be utilized when the collective view is taken of thegiven association rules based on the underlying support and confidence constraints that theresearcher may wish to impose. These would be essentially outlined based on theunderlying task at hand (Liebowitz, 2015)..(iii) The task is to understand the impact of raising the minimum confidence interval to 75%using XL Miner as an enabling tool. The relevant output in this context is highlighted asshown below.2
Study on Using of Association Rules_3

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