Association Rule Mining Quiz

What kind of learning algorithm is ARM?

• Unsupervised

• Supervised

• Reinforcement

• Semi-supervised

What is the main motivation behind Association Rule Mining?

• Finding outliers in data

• Classifying data into categories

• Predicting future trends

• Discovering inherent regularities in data

What is the purpose of Frequent Pattern Analysis?

• Identifying unique data points

• Finding recurring relationships in a dataset

• Calculating statistical outliers

• Creating visualizations of data

What are the two important measures in Association Rule Mining?

• Recall and F1 Score

• Mean and Standard Deviation

• Accuracy and Precision

• Support and Confidence

What property states that any subset of a frequent set is also frequent?

• Downward Closure Property

• Association Rule Property

• Upward Closure Property

• Apriori Pruning Principle

What is the main disadvantage of the Apriori Algorithm?

• Requires manual data preprocessing

• Does not support parallel processing

• Limited to binary data

• Inefficient for large datasets

What is the first step in generating candidates in the Apriori Algorithm?

• Self-joining

• Calculating confidence levels

• Pruning

• Scanning the database

What is the main purpose of the Apriori Property in the algorithm?

• To eliminate infrequent itemsets

• To reduce the size of candidate sets

• To introduce randomness in the process

• To increase the number of iterations

What is the key idea behind generating association rules from frequent itemsets?

• Exploring non-empty subsets of frequent itemsets

• Generating all possible combinations of items

• Identifying the least frequent itemset

• Finding the most common item in a dataset

What is the purpose of the Apriori Pruning Principle?

• To sort the itemsets alphabetically

• To generate new candidate sets

• To calculate support values

• To remove infrequent itemsets