Question: The completeness of a data mining algorithm is often unrealistic, however, association rule mining is an example where the use of constraints and interestingness measures

The completeness of a data mining algorithm is often unrealistic, however, association rule mining is an example where the use of constraints and interestingness measures can ensure the completeness of mining. True False The US passport number of people can be a numeric attribute. True False Given the two closed frequent itemsets and their support counts, C = {{a1,22,...,a10}: 1; {a1,a2....,a5}: 2}, what is the support count of {a2, a8}? 3 2 0 1

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