Association Rule Mining MCQs January 8, 2026November 18, 2024 by u930973931_answers 10 min Score: 0 Attempted: 0/10 Subscribe 1. What is the primary objective of Association Rule Mining? (A) To cluster data into groups (B) To reduce the dimensionality of data (C) To classify data into predefined categories (D) To find hidden patterns or relationships between variables in a dataset 2. Which of the following metrics is used to measure the frequency of an itemset in Association Rule Mining? (A) Support (B) Confidence (C) Lift (D) Leverage 3. What does the confidence metric represent in Association Rule Mining? (A) The proportion of transactions that contain the antecedent (B) The strength of the association rule compared to random chance (C) The likelihood that the consequent is present given that the antecedent is present (D) The frequency of the entire dataset 4. Which of the following metrics is used to measure the strength of an association compared to random chance? (A) Confidence (B) Support (C) Conviction (D) Lift 5. In the context of Association Rule Mining, what does an Apriori algorithm do? (A) Generates association rules by finding frequent itemsets (B) Finds the optimal number of clusters (C) Classifies data into predefined categories (D) Reduces the dimensionality of data 6. What is the main assumption behind the Apriori algorithm? (A) If an itemset is frequent, all its subsets are also frequent. (B) If an itemset is frequent, all its supersets are also frequent. (C) Frequent itemsets are independent of their subsets. (D) Frequent itemsets cannot be used to generate rules. 7. Which of the following algorithms is an improvement over Apriori for finding frequent itemsets? (A) FP-Growth (Frequent Pattern Growth) (B) K-means (C) CART (D) Decision Tree 8. What is a frequent itemset in Association Rule Mining? (A) An itemset with a high lift value (B) An itemset with more than two items (C) An itemset with a high confidence value (D) An itemset that appears in a large fraction of transactions 9. Which of the following is NOT an application of Association Rule Mining? (A) Market Basket Analysis (B) Predicting the next item in a sequence (C) Fraud Detection (D) Customer Segmentation 10. What does a Lift value greater than 1 indicate? (A) The items are positively associated. (B) The items are independent. (C) The items are negatively associated. (D) The items are rare in the dataset.