Which of the following is a primary use of data mining in healthcare?

• Predicting movie box office sales

• Identifying disease outbreaks and patient risk factors

• Calculating stock market indices

• Designing video games

Which technique is commonly used in fraud detection to identify unusual patterns in financial transactions?

• Clustering

• Regression

• Association rule mining

• Time series forecasting

In social media sentiment analysis, what is the main goal?

• To count the number of posts

• To determine the emotional tone behind user comments

• To increase the number of followers

• To block spam accounts

Which of the following best describes predictive analytics in sports?

• Analyzing past games for entertainment

• Predicting future player performance and game outcomes

• Creating new sports equipment

• Broadcasting live matches

Which data mining application is used in education to identify students at risk of failing?

• Market basket analysis

• Early warning systems using predictive modeling

• Image recognition

• Weather forecasting

A grocery store retailer is trying to decide whether to put bread on sale. This is related to which data mining task?

• Association

• Outlier analysis

• Summarization

• Prediction

Which of the following is a key challenge in fraud detection using data mining?

• Lack of data

• Evolving fraud patterns

• Too many labeled examples

• Unlimited computational resources

Which metric is commonly used to evaluate the accuracy of sentiment analysis models?

• Mean squared error

• Precision, recall, and F1-score

• Gini index

• Support

In sports analytics, which variable might be predicted using regression analysis?

• Player jersey color

• Number of goals scored in a season

• Stadium seating arrangement

• Team mascot

Which of the following is an example of data mining in education?

• Predicting student dropout rates

• Scheduling school buses

• Designing classroom furniture

• Printing textbooks