SlideShare a Scribd company logo
1 of 15
T_ID Item set
100 1, 3, 4
200 2, 3, 5
300 1,2,3, 5
400 2, 5
Scan D
Item Set Sup
{1} 2
{2} 3
{3} 3
{4} 1
{5} 3
Item set Sup
{1} 2
{2} 3
{3} 3
{5} 3
C1 L1 Item Set
{1, 2}
{1, 3}
{1, 5}
{2, 3}
{2, 5}
{3, 5}
Item Set Sup
{1, 2} 1
{1, 3} 2
{1, 5} 1
{2, 3} 2
{2, 5} 3
{2, 5} 2
Item Set Sup
{1, 3} 2
{2, 3} 2
{2, 5} 3
{3, 5} 2
Item Set
{2, 3, 5}
Item Set Sup
{2, 3, 5} 2
L3
L2
C2
C2
C3
Database D
T_ID Items
100 1, 3, 4
200 2, 3, 5
300 1, 2, 3, 5
400 2, 5
Min support: 2 Item Sup
{1} 2
{2} 3
{3} 3
{4} 1
{5} 3
T_ID Item Oder List
100 1, 3, 4 3, 1, 4
200 2, 3, 5 3, 2, 5
300 1, 2, 3, 5 3, 2, 5, 1
400 2, 5 2, 5
Item Sup Link
{2} 3
{3} 3
{5} 3
{1} 2
Root
{3}:
1+1+1
{1}: 1
{4}: 1
{2}: 1+1
{5}: 1+1
{1}: 1
{2}: 1
{5}: 1
T_ID Item Oder List
100 1, 3, 4 3, 1, 4
200 2, 3, 5 3, 2, 5
300 1, 2, 3, 5 3, 2, 5, 1
400 2, 5 2, 5
Data mining in Apriori and FP-tree

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Data mining in Apriori and FP-tree

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  • 11. T_ID Item set 100 1, 3, 4 200 2, 3, 5 300 1,2,3, 5 400 2, 5 Scan D Item Set Sup {1} 2 {2} 3 {3} 3 {4} 1 {5} 3 Item set Sup {1} 2 {2} 3 {3} 3 {5} 3 C1 L1 Item Set {1, 2} {1, 3} {1, 5} {2, 3} {2, 5} {3, 5} Item Set Sup {1, 2} 1 {1, 3} 2 {1, 5} 1 {2, 3} 2 {2, 5} 3 {2, 5} 2 Item Set Sup {1, 3} 2 {2, 3} 2 {2, 5} 3 {3, 5} 2 Item Set {2, 3, 5} Item Set Sup {2, 3, 5} 2 L3 L2 C2 C2 C3 Database D
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  • 13. T_ID Items 100 1, 3, 4 200 2, 3, 5 300 1, 2, 3, 5 400 2, 5 Min support: 2 Item Sup {1} 2 {2} 3 {3} 3 {4} 1 {5} 3 T_ID Item Oder List 100 1, 3, 4 3, 1, 4 200 2, 3, 5 3, 2, 5 300 1, 2, 3, 5 3, 2, 5, 1 400 2, 5 2, 5
  • 14. Item Sup Link {2} 3 {3} 3 {5} 3 {1} 2 Root {3}: 1+1+1 {1}: 1 {4}: 1 {2}: 1+1 {5}: 1+1 {1}: 1 {2}: 1 {5}: 1 T_ID Item Oder List 100 1, 3, 4 3, 1, 4 200 2, 3, 5 3, 2, 5 300 1, 2, 3, 5 3, 2, 5, 1 400 2, 5 2, 5