Introduction to Data Mining Pang-Ning Tan, Michael Steinbach, Vipin Kumar HW 1.

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Introduction to Data Mining Pang-Ning Tan, Michael Steinbach, Vipin Kumar HW 1

minsup=30% => 至少出現3次 F 5 7 5 9 6 F F F F F 3 2 4 4 3 6 4 4 2 6 F I F: frequent itemset N: non-considered itemset I: infrequent candidate minsup=30% => 至少出現3次 F 5 7 5 9 6 F F F F F 3 2 4 4 3 6 4 4 2 6 F I F F F F F F I F N N 2 2 4 2 4 I I F I F N N N

Ans: 16/32 Ans: 11/32 Ans: 5/32

13_ =>L5 14_ =>L1 15_ 8 =>L3 34_ =>L9 35_ =>L11 45_ 8 =>L3

10 C 5 7 5 9 6 C C C C F minsup=30% 3 2 4 4 3 6 4 4 2 6 至少出現3次才是 An itemset is maximal frequent if none of its immediate supersets is frequent An itemset is closed if none of its immediate supersets has the same support as the itemset 10 C 5 7 5 9 6 C C C C F minsup=30% 3 2 4 4 3 6 4 4 2 6 至少出現3次才是 frequent itemset MC I F F MC C F MC I C I I 2 2 4 2 4 I I MC I MC I I I