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Given the following transaction database: Transaction id Items t1 {1, 3, 4, 6} t2 {2, 3, 5} t3 {1, 2, 3, 5} t4 {2, 5,}
Given the following transaction database:
Transaction id | Items |
t1 | {1, 3, 4, 6} |
t2 | {2, 3, 5} |
t3 | {1, 2, 3, 5} |
t4 | {2, 5,} |
t5 | {1, 2, 3, 5} |
t6 | {1, 2, 3, 5, 6} |
- What is the output of the Apriori algorithm run on the previous transaction database with a minimum support of 50% ?
- Generate all the association rules for the frequent 2-itemsets obtained in (a). Calculate the confidence for each of these rules.
- For the rules obtained in (b), calculate the lift for the rules with the highest three confidences.
Given the following transaction database: Transaction id t1 t2 t3 Items |{1, 3, 4, 6} |{2, 3, 5} {1, 2, 3, 5) {2, 5,} {1, 2, 3, 5) |{1, 2, 3, 5,6} t4 t5 t6 a) What is the output of the Apriori algorithm run on the previous transaction database with a minimum support of 50%? b) Generate all the association rules for the frequent 2-itemsets obtained in (a). Calculate the confidence for each of these rules. c) For the rules obtained in (b), calculate the lift for the rules with the highest three confidences
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