Data Mining Assignment | XL Miner Output Report

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Added on 2020-03-16

Data Mining Assignment | XL Miner Output Report

Added on 2020-03-16

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Data Mining Assignment | XL Miner Output Report_1

Question 1(i)As per association rule #1, if antecedent item brushes are bought, then confidence of 100%,consequent items nail polish will also be bought.As per association rule #2, if antecedent item nail polish is bought, then confidence of63.22%, consequent item brushes will also be bought.1

Data Mining Assignment | XL Miner Output Report_2

As per association rule #3, if antecedent item nail polish is bought, then confidence of59.20%, consequent item bronzer will also be bought.(ii)Association rules often have the problem of rule redundancy. This usually occurs when theunderlying support level observed for a given rule is expected to reasonable accuracy bythe rule preceding the same. One rule which is redundant in the given case is rule 2. This isbecause it shares the same lift ratio or support as rule 1. Hence, it would be fruitful toeliminate the rule 2 from the output (Zaki, 2000).The given association rules in terms of utility can be analysed considering namely twoconsiderations i.e. lift ratio along with the underlying confidence level. The significance ofan association rule is captured by the lift ratio as rules are arranged in descending order ofrespective lift rations. Usually those rules which are high on atleast one of the parameterare considered useful in relation to pattern determination along with other usefulinformation (Liebowitz, 2015)..(iii) XL miner output 2

Data Mining Assignment | XL Miner Output Report_3

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