Consider the database with min sup = 0.6 and min conf = 0.8. TID Items T100...

 

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Consider the database with min sup = 0.6 and min conf = 0.8. TID Items T100 {B,O, N, E, C,O} T200 {B,O, N, E, C, A} T300 {C, A, N, E, C, A} T400 {F, A, N, E, C, A} T500 {F, A, C, A} 1. Show all frequent k-itemsets using the Apriori algorithm (for the largest k only). 2. Show all frequent k-itemsets using the FP-Growth algorithm (for the largest k only). Draw the FP-tree. Consider the database with min sup = 0.6 and min conf = 0.8. TID Items T100 {B,O, N, E, C,O} T200 {B,O, N, E, C, A} T300 {C, A, N, E, C, A} T400 {F, A, N, E, C, A} T500 {F, A, C, A} 1. Show all frequent k-itemsets using the Apriori algorithm (for the largest k only). 2. Show all frequent k-itemsets using the FP-Growth algorithm (for the largest k only). Draw the FP-tree.