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Discuss Association Rule Mining and Apriori Algorithm. Apply AR Mining to find all frequent item sets and association rules for the following dataset: Minimum Support Count = 2 Minimum Confidence = 70
written 7.8 years ago by gravatar for teamques10 teamques10 ★ 68k •   modified 4.8 years ago
data warehouse and mining
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written 7.8 years ago by gravatar for teamques10 teamques10 ★ 68k •   modified 7.5 years ago

Support count = 2

x/9 * 100 = 70

x = 6.3

step 1: Generating 1-itemset frequent pattern
Scan D for count of each candidate
C1

Item Set count
{1} 7
{2} 6
{3} 6
{4} 2
{5} 2

Compare candidate support count with minimum support count
L1

Item Set
{1}
{2}
{3}
{4}
{5}

Step 2 : Generate C2- itemset Frequent Pattern
Generate C2 candidate from L1

C2

Item Set count
{1,2} 3
{1,3} 5
{1,4} 1
{1,5} 2
{2,3} 2
{2,4} 2
{2,5} 2
{3,4} 0
{3,5} 1
{4,5} 0

Compare candidate support count with minimum support count

L2

Item Set
{1,2}
{1,3}
{1,5}
{2,3}
{2,4}
{2,5}

Step 3: Generating 3- itemset Frequent Pattern

C3

Item Set count
{1,2,3} 2
{1,2,4} 1
{1,2,5} 2
{2,3,4} 0
{2,3,5} 1
{3,4,5} 0
{45,1} 0

Compare candidate support count with minimum support count L3

Item Set count
{1,2,3} 2
{1,2,5} 2
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