EXERCISES
CLARIFYING THE CONCEPTS
Use Table 14.1 to answer the following questions.
- How does the curse of dimensionality make it a challenge to uncover association rules?
- What form do association rules take?
- In your own words, explain what we mean by the support for an association rule.
- The confidence of a rule is equivalent to what probability?
- Explain what is meant by lift.
- What is the confidence difference criterion, and why is it used?
- Describe the confidence ratio criterion.
- Calculate the support for the rule, “If corn, then tomatoes.”
- Find the confidence for the rule, “If corn, then tomatoes.”
- Calculate the lift for the rule, “If corn, then tomatoes.”
WORKING WITH THE DATA
For the following exercises, work with the Churn_Training_File data set. Use R to solve each problem.
- Subset the variables VMail Plan, Int'l Plan, CustServ Calls, and Churn into their own data frame. Change CustServ Calls into an ordered factor.
- Create tables...