The support of an itemset measures the probability that an itemset appears in a given transaction.

Question

BlackTom AI · Accepted Answer

The statement to evaluate is: 'The support of an itemset measures the probability that an itemset appears in a given transaction.'

Option 1: True. This is correct because, in the context of frequent itemset mining and association rule learning, support is defined as the proportion of transactions in the dataset that contain the itemset. It can be interpreted as the probability that a randomly chosen transaction includes the itemset. Formally, support(itemset) = (number of transactions containing the itemset) / (total number of transactions).

Option 2: False. This would imply that support does not relate to the frequency of the itemset in transactions, or that it measures something other than the presence of the itemset within transactions. In standard definitions, support is not about a single transaction or about non-occurrence; it is about how often the itemset appears across all transactions, hence it reflects a probability over the dataset rather than within a single transaction.

In summary, since support is the fraction (or probability) of transactions that contain the itemset, the statement in option 1 accurately describes the concept, while option 2 contradicts this established definition.

BA 3551 (002 & 003) Exam 1

The support of an itemset measures the probability that an itemset appears in a given transaction.

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