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Assignment on Data Mining Process

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Added on  2020-05-11

Assignment on Data Mining Process

   Added on 2020-05-11

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Data Mining[Pick the date]Student Id and Name
Assignment on Data Mining Process_1
1. Association rule The small cosmetic data file has been analysed using the XL miner tool in order to generate theassociation rule output using the features provided by XL Miner tool. This output is shown asfollows.The output clearly highlights that the minimum confidence level has been set as 50%.(i)The objective is to interpret the first three association rules that have been outlined in theabove XL Miner output (Ana, 2014).Rule 1 The first rule is highlighted in the first row and highlights that if brushes are bought then with aprobability of 1, the underlying customer would also buy nail polish.Rule 2 1
Assignment on Data Mining Process_2
The second rule is highlighted in the second row and highlights that if nail polish is bought thenwith a probability of 0.6322, the underlying customer would also buy brushes.Rule 3 The third rule is highlighted in the third row and highlights that if nail polish is bought then witha probability of 0.5920, the underlying customer would also buy bronzer.(ii)In the above output, only 9 rules were displayed owing to the support level indicated as100. For producing more rules, there is a need to lower the corresponding support level to50. As a result, the output produced is indicated below.For the association rules, redundancy is a common issues and usually such rules are identifiedand deleted so that the utility of output is enhanced and duplication can be prevented.Redundancy of a rule happens only in relation to a rule which is just above and tends to predictthe underlying support level of the rule facing redundancy. In the output indicated above, there2
Assignment on Data Mining Process_3

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