Association Rules DATA-SCIENCE-FOUNDATIONS Practice Questions (Page 4)

Questions 16–18

1. 16foundation · easy

   What does conviction measure for an association rule X → Y?

   • AThe number of transactions that contain both X and Y
   • BThe ratio of the expected frequency of X without Y to the observed frequency of X without Y
   • CThe difference between the support of X and the support of Y
   • DThe probability that X and Y occur together divided by the probability of X
   Reveal Solution Discussion Select an answer first
2. 17application · medium

   A retail chain wants to use association rules to improve cross-selling. They have a large dataset of transactions. Which of the following is the most appropriate first step in applying association rule mining?

   • ARun a clustering algorithm to group similar transactions before mining rules.
   • BSelect a random sample of transactions to reduce the dataset size before mining.
   • CCalculate the lift for all possible rules directly from the raw data.
   • DPreprocess the transaction data into a format suitable for itemset mining, such as a list of items per transaction.
   Reveal Solution Discussion Select an answer first
3. 18foundation · easy

   Given 100 transactions, 20 contain bread, 15 contain butter, and 10 contain both bread and butter. What is the confidence of the rule {bread} → {butter}?

   • A75%
   • B50%
   • C66.7%
   • D10%
   Reveal Solution Discussion Select an answer first