Data Mining Techniques MCQs January 8, 2026November 18, 2024 by u930973931_answers 15 min Score: 0 Attempted: 0/15 Subscribe 1. What is the primary goal of data mining? (A) To remove redundant data (B) To reduce the size of the dataset (C) To store data in a more efficient format (D) To analyze the data to identify patterns, trends, and relationships 2. Which of the following is a supervised learning technique in data mining? (A) K-means clustering (B) Association rule mining (C) Apriori algorithm (D) Decision trees 3. Which data mining technique is used to group similar data points together based on their attributes? (A) Classification (B) Clustering (C) Regression (D) Association rule mining 4. In data mining, what does association rule mining primarily focus on? (A) Predicting continuous values based on input features (B) Grouping similar data points together (C) Identifying relationships between different variables in large datasets (D) Finding trends in time series data 5. Which of the following is a classification algorithm in data mining? (A) K-means clustering (B) Apriori algorithm (C) Principal Component Analysis (PCA) (D) Naive Bayes 6. Which algorithm is commonly used for regression tasks in data mining? (A) K-means clustering (B) Linear regression (C) Support Vector Machines (SVM) (D) K-nearest neighbors (KNN) 7. Which of the following is a data mining technique used for dimensionality reduction? (A) K-means clustering (B) DBSCAN (C) Apriori algorithm (D) Principal Component Analysis (PCA) 8. In K-means clustering, how is the number of clusters (k) chosen? (A) By trial and error or using methods like the elbow method (B) By performing a grid search (C) It is determined by the algorithm (D) By calculating the correlation between the clusters 9. Which data mining technique is commonly used for finding frequent patterns or itemsets in large datasets? (A) Decision trees (B) K-nearest neighbors (C) Support vector machines (D) Association rule mining 10. What is support vector machine (SVM) primarily used for in data mining? (A) Clustering data points into groups (B) Reducing the dimensionality of data (C) Finding linear boundaries for classification tasks (D) Identifying the best rules in association mining 11. Which of the following is the main purpose of using clustering algorithms in data mining? (A) To predict numerical outcomes based on features (B) To reduce the number of features in a dataset (C) To build decision trees (D) To group data into clusters based on similarity 12. What does the Apriori algorithm do in the context of association rule mining? (A) It finds the most frequent itemsets in a dataset (B) It classifies data points into predefined categories (C) It builds a regression model (D) It reduces the number of features in a dataset 13. Which of the following is a key characteristic of unsupervised learning in data mining? (A) It uses labeled data for training (B) It tries to predict an output value from input data (C) It applies regression algorithms to predict numerical values (D) It focuses on grouping data points without predefined labels 14. Decision trees in data mining are primarily used for: (A) Dimensionality reduction (B) Clustering similar data points together (C) Classification and regression tasks (D) Finding associations between variables 15. What is the purpose of cross-validation in data mining? (A) To train the model using all available data (B) To normalize the data before applying the model (C) To split the dataset into training and testing sets to avoid overfitting (D) To select the most important features