Chapter 5: Mining Frequent Patterns and Association Rules
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Questions and Answers

What is the primary motivation behind finding frequent patterns in data?

  • To design sales campaigns
  • To discover inherent regularities in data (correct)
  • To analyze web log click streams
  • To identify closed patterns

Which of the following is NOT a scalable frequent pattern mining method?

  • Apriori
  • Logistic Regression (correct)
  • CLOSET+
  • FP-growth

What type of analysis involves identifying patterns in customer purchase data?

  • Web log analysis
  • Catalog design
  • Basket data analysis (correct)
  • DNA sequence analysis

Which of the following is an application of frequent pattern mining?

<p>Cross-marketing (B)</p> Signup and view all the answers

What is a frequent pattern?

<p>A set of items that are frequently purchased together (C)</p> Signup and view all the answers

What is the goal of frequent pattern mining?

<p>To identify inherent regularities in data (C)</p> Signup and view all the answers

What is the objective measure for association rules that represents the percentage of transactions a rule satisfies?

<p>Support Measure (D)</p> Signup and view all the answers

What is taken to be the probability P(Y|X) for association rules?

<p>Confidence Measure (B)</p> Signup and view all the answers

What is the main purpose of lift in the context of dependent/correlated events?

<p>To measure the strength of association between itemsets (C)</p> Signup and view all the answers

In the context of association rules, which measure assesses the degree of certainty of the detected association?

<p>Confidence Measure (B)</p> Signup and view all the answers

What does the support measure represent in the context of association rules?

<p>The percentage of transactions that the rule satisfies (C)</p> Signup and view all the answers

What measure of interestingness is used to analyze the probability of itemsets occurring together?

<p>Lift Measure (D)</p> Signup and view all the answers

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