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Mining rules from an incomplete data set with a high missing rate

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Table 1: The dataset in the example.  Attribute  Tuple ID  A = {1, 2}  B = {1, 2, 3}  C = {3, 4}  Tuple 1  1  2  3  Tuple 2  1  3  ?  Tuple 3  ? ? 3  Tuple 4  ? ? ?
Table 2 : The incomplete dataset in the  example  Attribute  Tuple ID  A  B  C  T1 1 2 3  T2  1 3 ?  T3  ? ? 3  T4  ? 2 4  T5  ? 3 ?  T6  ? 1 ?  T7 ?  2  3  T8 ?  ?  ?  T9 2  ?  3
Table 3 : The association rules with support and confidence values after  STEP 3
Table 5 : The reduced association rules with their support and confidence  values
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