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Consider the following database with minimum support count=60%. Find all frequent item set using Apriori and also generate strong association roles if minimum confidence = 50%.
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written 8.1 years ago by |
Support count = 60%
x/5 * 100 = 50
x = 3
Step 1: Generating 1-itemset frequent pattern
Scan D for count of each candidate
C1
Compare candidate support count with minimum support count
L1
Step 2 : Generate C2- itemset Frequent Pattern
Generate C2 candidate from L1
C2
Compare candidate support count with minimum support count
L2
Step 3: Generating 3- item set Frequent Pattern
C3
Compare candidate support count with minimum support count
L3