quiz 5

In association rule mining, high confidence values always indicate strong associations between items True False

False

The Apriori algorithm is based on the principle of minimizing computational resources. True False

False

The apriori function is used for clustering data in R True False

False

The inspect function in R is used for summarizing descriptive statistics of a dataset True False

False

What does the Apriori algorithm primarily aim to discover in transactional data? -Principal component analysis -Clusters of similar transactions -Frequent itemsets and association rules -Regression models

Frequent itemsets and association rules

In R's "arules" package, what does the inspect function do? -Converts data types -Inspects and displays association rules -Imports external datasets -Visualizes data plots

Inspects and displays association rules

What does the support of an association rule represent? -The number of items in the antecedent -The proportion of transactions containing both antecedent and consequent -The confidence of the rule -The strength of association

The proportion of transactions containing both antecedent and consequent

What does the lift value in association rules indicate? -The proportion of transactions containing the rule -The likelihood of the consequent given the antecedent -The strength of association between items -The minimum support threshold

The strength of association between items

The lift value greater than 1 indicates a positive association between items in an association rule True False

True

In R, which library is commonly used for association rule mining and frequent itemset mining? rpart arules E1071 Caret

arules