Compute the support for itemsets {P}, {Q, S}, and {P, Q, S} by considering each TID...
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Compute the support for itemsets {P}, {Q, S}, and {P, Q, S} by considering each TID as a market basket. b. Use the results in a. to compute the confidence for the association rules (QSP), and (P⇒ QS). Is confidence a symmetric measure? c. Assuming minimum support=0.4, use the Apriori algorithm to generate all the frequent itemsets. d. Generate all the association rules for the frequent 2itemsets obtained in c. Calculate the confidence for the rules. TID  Items bought 0001  {P, S, T} 0003 [P, Q, R, T} 0010  {P, Q, S, T} 0013 I{P, R, S, T} 0022 IQ, R, T} 0028 {Q, S, T} 0029  {R, S} 0030 {P, Q, R} 0037 [P, S, T} 0051 I {P, Q, T} Compute the support for itemsets {P}, {Q, S}, and {P, Q, S} by considering each TID as a market basket. b. Use the results in a. to compute the confidence for the association rules (QSP), and (P⇒ QS). Is confidence a symmetric measure? c. Assuming minimum support=0.4, use the Apriori algorithm to generate all the frequent itemsets. d. Generate all the association rules for the frequent 2itemsets obtained in c. Calculate the confidence for the rules. TID  Items bought 0001  {P, S, T} 0003 [P, Q, R, T} 0010  {P, Q, S, T} 0013 I{P, R, S, T} 0022 IQ, R, T} 0028 {Q, S, T} 0029  {R, S} 0030 {P, Q, R} 0037 [P, S, T} 0051 I {P, Q, T}
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Related Book For
Introduction to Data Mining
ISBN: 9780321321367
1st edition
Authors: Pang Ning Tan, Michael Steinbach, Vipin Kumar
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