Real-World Applications of Data Mining MCQ December 19, 2025November 19, 2024 by u930973931_answers 15 min Score: 0 Attempted: 0/15 Subscribe 1. Which of the following is a common real-world application of data mining in the retail industry? (A) Predicting the weather (B) Optimizing supply chain logistics (C) Classifying images in medical imaging (D) Detecting fraudulent credit card transactions 2. Which data mining technique is commonly used in the financial sector for credit scoring? (A) Clustering (B) Association rule mining (C) Decision trees (D) Dimensionality reduction 3. In healthcare, data mining can be applied to: (A) Analyze customer preferences (B) Forecast stock market trends (C) Optimize supply chain inventory (D) Predict patient readmissions and disease outbreaks 4. Which of the following is a real-world application of data mining in e-commerce? (A) Identifying fraudulent bank transactions (B) Analyzing DNA sequences (C) Predicting weather patterns (D) Customer segmentation for targeted marketing 5. In the telecommunications industry, data mining is typically used for: (A) Predicting customer churn and retention (B) Detecting fraudulent calls or patterns of abuse (C) Analyzing satellite data for weather forecasting (D) Managing stock portfolios 6. In the manufacturing sector, data mining can be used to: (A) Predict machine failures and perform maintenance (B) Optimize product designs based on customer feedback (C) Detect fraud in transactions (D) Predict stock market crashes 7. Which data mining technique is most commonly used for market basket analysis? (A) Association rule mining (B) Regression analysis (C) Clustering (D) Principal Component Analysis (PCA) 8. How is data mining applied in social media analytics? (A) For weather prediction (B) To predict traffic patterns (C) To calculate stock market prices (D) To analyze customer sentiment and trends 9. In the insurance industry, data mining is typically used for: (A) Predicting patient outcomes (B) Classifying customers by age and income (C) Fraud detection and risk assessment (D) Forecasting weather events 10. In sports analytics, data mining is used to: (A) Predict the winner of a game based on historical data (B) Optimize athlete training regimens (C) Analyze customer purchase behavior (D) Forecast stock prices of sports teams 11. Which of the following is an example of data mining in government applications? (A) Detecting fraudulent claims in social security (B) Optimizing website user experience (C) Predicting market trends (D) Classifying customer feedback 12. In education, how is data mining typically applied? (A) Analyzing market trends (B) Identifying fraud in grant applications (C) Predicting stock prices (D) Predicting student performance and identifying at-risk students 13. What is a common real-world application of data mining in the energy sector? (A) Predicting weather patterns (B) Analyzing customer purchasing behaviors (C) Predicting equipment failures and optimizing energy usage (D) Identifying spam emails 14. Which of the following data mining techniques is applied in fraud detection in banking? (A) Clustering (B) Regression analysis (C) Dimensionality reduction (D) Anomaly detection 15. In political campaigns, data mining is applied to: (A) Predict the outcome of elections based on polling data (B) Detect fraud in political donations (C) Analyze the economic impact of policies (D) Optimize stock trading strategies