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COMP3340 - Data Mining Study

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The University of New Castle

   

Data Mining (COMP3340)

   

Added on  2020-03-04

COMP3340 - Data Mining Study

   

The University of New Castle

   

Data Mining (COMP3340)

   Added on 2020-03-04

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DATA MININGSTUDENT ID:[Pick the date]
COMP3340 - Data Mining Study_1
DATA MININGQuestion 1 (Association Rules)The relevant output from XL Miner is indicated below.i)The most pivotal three rules that the above output refers to are outlined below.Rule 1- If the event of purchase of brushes happens, there would be the purchase of nailpolish also. The associated confidence with this rule is 100% which implies that theunderlying probability for the same is essentially 1.Rule 2- If the event of purchase of nail polish happens, there would be the purchase ofbrushes also. The associated confidence with this rule is 63.22% which implies that theunderlying probability for the same is essentially 0.6322.Rule 3: If the event of purchase of nail polish happens, there would be the purchase ofbronzer also. The associated confidence with this rule is 59.19% which implies that theunderlying probability for the same is essentially 0.5919.ii)It is pertinent to outline the underlying definition of the redundancy of a rule. A rule may betermed as redundant in relation to the other rule if the confidence level and support is atleast thesame as the latter for each dataset. In relation to the given rules, a rule which can be termed asredundant is rule 16 when compared with rule 17. Also, rule 2 has a similar redundancy situationeven though the underlying confidence level is different. For the first rule, the level amounts to100% as compared to 63.22 for the second one.The utility of the rules lies in the determination of conditional probabilities which may link atpatterns that often need to be complemented with the various theories and literature review.Also, the various rules tend to provide complementary support to each other which can be usedin derivation of meaningful conclusions.iii)When the minimum confidence level is raised to 75%, then the number of rules witnesses adecrease. This is because only those rules would be highlighted where the underlying confidencelevel is atleast 75%. Considering the output of the given case, it becomes apparent that therewould be only one rule highlighted if the confidence level is increased to 75% which is the Rule#1. No other rule has this high confidence and hence no display of other rules.
COMP3340 - Data Mining Study_2

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