Data Reduction MCQs

By: Prof. Dr. Fazal Rehman | Last updated: May 14, 2025

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1. : What is data reduction in data mining?



2. : Why is data reduction important in data mining?



3. : Which of the following is a technique for data reduction that focuses on selecting a subset of relevant features?



4. : What is sampling in the context of data reduction?



5. : Which technique involves compressing the dataset to reduce storage space and processing time?



6. : What is dimensionality reduction?



7. : Which of the following is a popular technique for dimensionality reduction?



8. : What does feature extraction involve in data reduction?



9. : Which technique focuses on reducing data redundancy by identifying and merging duplicate records?



10. : How does data reduction contribute to improving data mining outcomes?



11. : Which approach involves summarizing data by creating smaller, more manageable representations?



12. : What is the primary goal of data reduction techniques such as feature selection?



13. : How does data reduction help in data preprocessing?



14. : Which technique involves transforming and aggregating data to create new, more meaningful variables?



15. : What role does data reduction play in preparing data for machine learning algorithms?



 

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