solution Using Python A database has 5 transactions. Let min_sup = %3D 60 % and min_conf = 80 % . TID T100 T200 T300 %3D T400 T500 (a) Find all frequent itemsets using Apriori items_bought {M, O, N, K, E, Y} { D, O, N, K, E, Y}{ M, A, K, E }{M,U,C,K,Y}{C,0,0,K, 1,E}(b)List all of the strong association rules ( with supports and confidence c) matching the following metarule , where X is a variable representing customers , and item , denotes variables representing items (eg,"A","B", II etc. ) : Va e transaction , buys ( X , item, ) A buys (X, item, )= buys (X , item3 ) ) [s,c]
solution Using Python A database has 5 transactions. Let min_sup = %3D 60 % and min_conf = 80 % . TID T100 T200 T300 %3D T400 T500 (a) Find all frequent itemsets using Apriori items_bought {M, O, N, K, E, Y} { D, O, N, K, E, Y}{ M, A, K, E }{M,U,C,K,Y}{C,0,0,K, 1,E}(b)List all of the strong association rules ( with supports and confidence c) matching the following metarule , where X is a variable representing customers , and item , denotes variables representing items (eg,"A","B", II etc. ) : Va e transaction , buys ( X , item, ) A buys (X, item, )= buys (X , item3 ) ) [s,c]
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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![Homework2 (1
solution Using Python
A database has 5 transactions. Let min_sup =
60 % and min_conf = 80 % . TID T100 T200 T300
T400 T500 (a) Find all frequent itemsets using
Apriori items_bought {M, O, N, K, E, Y} { D, O, N, K,
E, Y} { M, A, K, E }{M,U,C,K,Y}{C,0,0,K,
1, E}(b) List all of the strong association rules
(with supports and confidence c) matching the
following metarule , where X is a variable
representing customers , and item , denotes
variables representing items ( eg,"A","B",
etc. ) : Va e transaction , buys ( X , item, ) A buys
(X, item, ) → buys ( X , item3 ) ) [s,c]
II](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F645105ba-8177-420b-a18d-a4d5e1e0e4fb%2F9782c864-6e31-4c3f-a8f4-ea89c4295be6%2F8vaej9k_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Homework2 (1
solution Using Python
A database has 5 transactions. Let min_sup =
60 % and min_conf = 80 % . TID T100 T200 T300
T400 T500 (a) Find all frequent itemsets using
Apriori items_bought {M, O, N, K, E, Y} { D, O, N, K,
E, Y} { M, A, K, E }{M,U,C,K,Y}{C,0,0,K,
1, E}(b) List all of the strong association rules
(with supports and confidence c) matching the
following metarule , where X is a variable
representing customers , and item , denotes
variables representing items ( eg,"A","B",
etc. ) : Va e transaction , buys ( X , item, ) A buys
(X, item, ) → buys ( X , item3 ) ) [s,c]
II
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