Question: Subject: Data Mining Table below shows a transaction database, D={ TID1, TID2, ..., TID9 } at a store purchased by customers on five different skincare

Subject: Data Mining

Subject: Data Mining Table below shows a transaction database, D={ TID1, TID2,

..., TID9 } at a store purchased by customers on five different

Table below shows a transaction database, D={ TID1, TID2, ..., TID9 } at a store purchased by customers on five different skincare routine: Cleanser, Toner, Moisturizer, Serum, and Sunscreen. Let minimum support count =2 and minimum confidence =80%. Generate ALL frequent itemsets using Frequent Pattern (FP) Growth algorithm. c) Find the frequent patterns for item serum OR sunscreen. (6 marks) d) Generate TWO (2) rules for item serum OR sunscreen with the confidence value for each rule. (4 marks)

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