Data Mining Algorithms and Techniques MCQs

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1. What is data mining primarily concerned with?
(A) Discovering patterns and knowledge from data
(B) Data storage
(C) Data transmission
(D) Data encryption

2. Which data mining task involves predicting a continuous value?
(A) Regression
(B) Clustering
(C) Classification
(D) Association

3. Which algorithm is commonly used for classification?
(A) K-Means
(B) Apriori
(C) Decision Tree
(D) DBSCAN

4. Which technique groups similar data objects together?
(A) Clustering
(B) Classification
(C) Regression
(D) Association Rule Mining

5. Which algorithm is used for association rule mining?
(A) KNN
(B) Apriori
(C) Naive Bayes
(D) SVM

6. Which clustering algorithm is density-based?
(A) DBSCAN
(B) Hierarchical
(C) K-Means
(D) EM

7. Which classification algorithm is based on probability theory?
(A) Decision Tree
(B) KNN
(C) Naive Bayes
(D) SVM

8. What does support measure in association rules?
(A) Strength of rule
(B) Accuracy
(C) Frequency of itemset
(D) Correlation

9. Which metric measures the reliability of an association rule?
(A) Support
(B) Confidence
(C) Lift
(D) Coverage

10. Which algorithm is an example of lazy learning?
(A) K-Nearest Neighbor
(B) Naive Bayes
(C) Decision Tree
(D) Logistic Regression

11. Which technique reduces data dimensionality?
(A) PCA
(B) Classification
(C) Clustering
(D) Association

12. Which algorithm is used for market basket analysis?
(A) K-Means
(B) DBSCAN
(C) SVM
(D) Apriori

13. Which clustering method builds a tree-like structure?
(A) K-Means
(B) Hierarchical clustering
(C) DBSCAN
(D) EM

14. What is overfitting in data mining?
(A) Model fits training data too closely
(B) Model performs well on unseen data
(C) Model is too simple
(D) Model ignores noise

15. Which algorithm finds patterns without class labels?
(A) Unsupervised learning
(B) Supervised learning
(C) Reinforcement learning
(D) Semi-supervised learning

16. Which technique is used for anomaly detection?
(A) Linear Regression
(B) Isolation Forest
(C) K-Means only
(D) Apriori

17. Which algorithm uses margin maximization?
(A) Naive Bayes
(B) Decision Tree
(C) Support Vector Machine
(D) KNN

18. Which data mining task predicts class labels?
(A) Regression
(B) Clustering
(C) Classification
(D) Summarization

19. Which association rule metric indicates usefulness beyond chance?
(A) Lift
(B) Confidence
(C) Support
(D) Accuracy

20. Which statement about data mining is TRUE?
(A) Data mining only works on small datasets
(B) Data mining and data warehousing are the same
(C) Data mining replaces databases
(D) Data mining helps in decision making