Data Mining MCQs Questions And Answers

This section focuses on "Data Mining" in Data Science. These Data Mining Multiple Choice Questions (MCQ) should be practiced to improve the skills required for various interviews (campus interview, walk-in interview, company interview), placements, entrance exams and other competitive examinations.

1. What is true about data mining?

A. Data Mining is defined as the procedure of extracting information from huge sets of data
B. Data mining also involves other processes such as Data Cleaning, Data Integration, Data Transformation
C. Data mining is the procedure of mining knowledge from data.
D. All of the above

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2. How many categories of functions involved in Data Mining?

A. 2
B. 3
C. 4
D. 5

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3. The mapping or classification of a class with some predefined group or class is known as?

A. Data Characterization
B. Data Discrimination
C. Data Set
D. Data Sub Structure

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4. The analysis performed to uncover interesting statistical correlations between associated-attribute-value pairs is called?

A. Mining of Association
B. Mining of Clusters
C. Mining of Correlations
D. None of the above

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5. __________ may be defined as the data objects that do not comply with the general behavior or model of the data available.

A. Outlier Analysis
B. Evolution Analysis
C. Prediction
D. Classification

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6. "Efficiency and scalability of data mining algorithms" issues comes under?

A. Mining Methodology and User Interaction Issues
B. Performance Issues
C. Diverse Data Types Issues
D. None of the above

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7. To integrate heterogeneous databases, how many approaches are there in Data Warehousing?

A. 2
B. 3
C. 4
D. 5

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8. Which of the following is correct advantage of Update-Driven Approach in Data Warehousing?

A. This approach provides high performance.
B. The data can be copied, processed, integrated, annotated, summarized and restructured in the semantic data store in advance.
C. Both A and B
D. None Of the above

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9. What is the use of data cleaning?

A. to remove the noisy data
B. correct the inconsistencies in data
C. transformations to correct the wrong data.
D. All of the above

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10. Data Mining System Classification consists of?

A. Database Technology
B. Machine Learning
C. Information Science
D. All of the above

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