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Instructions;Write the answer under each question.;Read the PDF carefully to help you to answer the questions.;Questions;1- Consider the data in the following table;CID;TID;Items Bought;10;100;{Milk, Butter, Diapers};10;115;{Milk, Eggs, Coke, Diapers};20;85;{Milk, Eggs, Butter, Diapers};20;125;{Milk, Coke, Butter, Diapers};30;90;{Eggs, Coke, Diapers};30;130;{Eggs, Butter, Diapers};40;155;{Coke, Butter};40;160;{Milk, Eggs, Coke};50;60;{Milk, Butter, Diapers};50;75;{Milk, Eggs, Diapers};a) Find the support for itemsets {Diapers}, {Eggs, Butter}, and {Eggs, Butter, Diapers} by treating each transaction (TID) as a market basket.;b) Based on the results you got in part (a), Find the confidence for the association rules {Eggs, Butter} ? {Diapers} and {Diapers} ? {Eggs, Butter}. Is confidence a symmetric measure?;c) Find the support for itemsets {Diapers}, {Eggs, Butter}, and {Eggs, Butter, Diapers} by treating each Customer (CID) as a market basket. Each item should be treated as a binary variable (1 if an item appears in at least one transaction bought by the customer, and 0 otherwise.);d) Based on the results you got in part (c), Find the confidence for the association rules {Eggs, Butter} ? {Diapers} and {Diapers} ? {Eggs, Butter}.;2- A database has ten transactions. Let min_sup = 30%.;TID;Items Bought;100;{A, B,D, E};200;{B, C, D};300;{A,B, D, E};400;{A, C, D, E};500;{B, C, D, E};600;{B, D, E};700;{C, D};800;{A, B, C};900;{A, D, E};1000;{B, D};(a) Apply the Apriori algorithm to the above data set.;(b) Show the FP tree that would be made for the data set.

 

Paper#64037 | Written in 18-Jul-2015

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