Explore topic-wise MCQs in Technical MCQs.

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.