Based on the market basket transactions data given below, calculate the support and confidence values of the association rules R1 through R6. Discuss your observations of the calculation results.

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R1: {Beer,Diapers} -> {Milk} R2:- {Diapers,Milk} --> {Beer} R3:-{Milk}--> {Beer,Diapers} R4:-{Beer,Milk}-->{Diapers} R5:- {Beer} --> {Diapers,Milk} R6:- {Diapers} -->{Beer,Milk}
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Based on the market basket transactions data given below, calculate the support and confidence values of...
Consider the data set of market basket transactions shown in following table: Customer ID Transaction ID Items Bought 1 0001 {a,d,e,f} 1 0024 {a,b,c} 2 0012 {b,d,e,f} 2 0031 {a,c,e} 3 0015 {b,d,f} 3 0022 {a,b} 4 0029 {a,b,c} 4 0040 {a,b,d,e} 5 0033 {e,b,d} 5 0038 {f,c,e} Compute the support(%) for itemsets {e}, {b, d}, and {b, d, e} by treating each transaction ID as a market basket. Use the results in part (a) to compute the confidence for...
Table 1: Data set of market-basket transactions ansaction ID Items Bought [A, B, D, E (B, C, D (A, B, D, E) A, C, D, E) (B,C, D, E B, D, E (C, D) (A, B, C (A, D, E) 6 7 [15 points] Answer the following questions for the data set in Table 1. (a) What is the maximum number of association rules that can be extracted from this data set (including rules that have zero support)? (b) What...
(1)A database has five transactions (T100 to T500) as shown in the table below. Let min sup-3 and mi-conf-8090. TID T100 M, O, N, K, E, Y T200 D, O, N, K, E, Y ) T300{M, A, K, E) T400 M, U, C, K, Y) T500 | {C, О. О. К. 1 ,E) items bought Find all the frequent itemset晜using Apriori algorithm. You must show the contents of Ck and Lk tables in each step (please refer to your lecture...