Association Rule Mining
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Questions and Answers

What is the formula to calculate Support(A -> B)?

  • Total / Support_count(A ∪ B)
  • Support_count(A) / Support_count(B)
  • Support_count(A) / Total
  • Support_count(A ∪ B) / Total (correct)

    • What does a confidence of 60% imply in a market basket analysis?

  • 60% of customers purchased only milk and bread.
  • 60% of customers purchased milk, bread, and butter.
  • 60% of customers purchased butter and not milk or bread.
  • 60% of customers who purchased milk and bread also bought butter. (correct)

    • What is the total in the Support formula?

  • Total number of customers
  • Total number of products
  • Total number of transactions (correct)
  • Total number of items purchased

    • What do we measure with the Support(A -> B) metric?

    <p>The frequency of purchases of A and B together</p> Signup and view all the answers

    What does a confidence level represent?

    <p>The percentage of times the rule A -&gt; B is true</p> Signup and view all the answers

    What is the formula for calculating Confidence in a rule?

    <p>Support_count(A ∪ B) / Support_count(A)</p> Signup and view all the answers

    What is the characteristic of a strong rule?

    <p>It satisfies both minimum support and minimum confidence</p> Signup and view all the answers

    What is used to calculate the Support Count of a rule?

    <p>The number of times A and B appear together</p> Signup and view all the answers

    What is the relationship between Support and Confidence?

    <p>Support is a prerequisite for confidence</p> Signup and view all the answers

    What is the purpose of setting minimum support and minimum confidence?

    <p>To identify strong rules</p> Signup and view all the answers

    What does the Confidence of a rule A->B represent?

    <p>The strength of the implication of A on B</p> Signup and view all the answers

    What is the formula for calculating the Confidence of a rule A->B?

    <p>Support_count(A∪B) / Support_count(A)</p> Signup and view all the answers

    What is the difference between Support and Confidence?

    <p>Support measures the frequency of A, while Confidence measures the strength of the implication of A on B</p> Signup and view all the answers

    What is the purpose of calculating Confidence in association rule mining?

    <p>To determine the strength of the implication of A on B</p> Signup and view all the answers

    What is the relationship between Support count and Confidence?

    <p>Support count is used to calculate Confidence</p> Signup and view all the answers

    Study Notes

    Association Rule Mining

    • Support calculation: Support(A -> B) = Support_count(A ∪ B) / Total
    • Confidence calculation: Confidence(A -> B) = Support_count(A ∪ B) / Support_count(A)

    Confidence Explanation

    • 60% confidence means 60% of customers who purchased A (milk and bread) also bought B (butter)

    Strong Rule

    • A rule satisfies both minimum support and minimum confidence is considered a strong rule

    Apriori Algorithm

    • Used for association rule mining
    • Generation of rules is shown through an example of a frequent itemset

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    Description

    Learn about association rule mining, including support and confidence calculations, strong rules, and the Apriori Algorithm.

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