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This section includes 10 Mcqs, each offering curated multiple-choice questions to sharpen your Technical MCQs knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
Data Mining System Classification consists of? |
| A. | Database Technology |
| B. | Machine Learning |
| C. | Information Science |
| D. | All of the above |
| E. | |
| Answer» E. | |
| 2. |
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 |
| Answer» E. | |
| 3. |
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 |
| Answer» D. None Of the above | |
| 4. |
To integrate heterogeneous databases, how many approaches are there in Data Warehousing? |
| A. | 2 |
| B. | 3 |
| C. | 4 |
| D. | 5 |
| Answer» B. 3 | |
| 5. |
"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 |
| Answer» C. Diverse Data Types Issues | |
| 6. |
__________ 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 |
| Answer» B. Evolution Analysis | |
| 7. |
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 |
| Answer» D. None of the above | |
| 8. |
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 |
| Answer» C. Data Set | |
| 9. |
How many categories of functions involved in Data Mining? |
| A. | 2 |
| B. | 3 |
| C. | 4 |
| D. | 5 |
| Answer» B. 3 | |
| 10. |
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 |
| Answer» E. | |