Chapter 5: Mining Frequent Patterns and Association Rules

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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?

Cross-marketing Signup and view all the answers

What is a frequent pattern?

A set of items that are frequently purchased together Signup and view all the answers

What is the goal of frequent pattern mining?

To identify inherent regularities in data Signup and view all the answers

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

Support Measure Signup and view all the answers

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

Confidence Measure Signup and view all the answers

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

To measure the strength of association between itemsets Signup and view all the answers

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

Confidence Measure Signup and view all the answers

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

The percentage of transactions that the rule satisfies Signup and view all the answers

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

Lift Measure Signup and view all the answers

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?

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

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

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

What is a frequent pattern?

What is the goal of frequent pattern mining?

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

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

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

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

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

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

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