Association Analysis Support and Confidence

The following data shows the numbers of transactions of a retail store. The manager of the store wants to analyze associations among the transactions shown below: A B C D E F G 1 0 1 1 1 1 0 1 2 0 0 1 0 1 1 1 3 0 1 0 0 1 0 1 4 0 0 1 1 1 0 1 5 0 1 0 0 1 0 1 6 0 0 0 0 1 0 0 7 0 1 1 1 0 0 1 8 0 0 1 1 1 0 1 9 0 0 0 0 0 0 0 10 1 1 1 1 0 0 0 11 0 0 1 0 1 0 1 12 0 0 1 1 1 0 1 The manager found some association rules and wants to figure out their levels of “Support” “Confidence” and “Lift.” Specifically she asks you to: Please note that this question doesn’t need to use R. You should clearly demonstrate how to calculate “Support” and “Confidence.” Show all procedures for both a) and b) above in the Word file. If the decimal is too difficult to calculate fraction format is acceptable (e.g. 7/15 instead of 0.467). The below tasks require you to analyze data using R. R provides a dataset named “Epub.” Help provide some explanation about the following data: The data contains 15729 rows and 936 columns. Inspect the first 10 items and demonstrate item frequency of the items. Requirements: In the 1st two question please give detailed explanation | .doc file Compute “Support” “Confidence” and “Lift” for the rule of {C&G} –>{B}. Compute “Support” “Confidence” and “Lift” for the rule of {C&E} –>{B}. Investigate association rules using the data. You need to set the criteria for “Support” and “Confidence” and provide your rationale to set the levels of “Support” and “Confidence.” When you investigate the rules generated by your algorithms the rules are displayed with some criteria. Sort the association rules by the “Lift” and visualize the rules using the “arulesViz” package. Provide your interpretation of the output of your visualization. Compute “Support” “Confidence” and “Lift” for the rule of {C&G} –>{B}.Compute “Support” “Confidence” and “Lift” for the rule of {C&E} –>{B}. Investigate association rules using the data. You need to set the criteria for “Support” and “Confidence” and provide your rationale to set the levels of “Support” and “Confidence.”When you investigate the rules generated by your algorithms the rules are displayed with some criteria. Sort the association rules by the “Lift” and visualize the rules using the “arulesViz” package. Provide your interpretation of the output of your visualization. ‘

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