Data Mining

Q1. In data mining, how many categories of functions are involved?

5
4
2
3

Q2. The mapping or classification of a class with some predefined group or class is called.

Data Discrimination
Data Sub Structure
Data Characterization
Data Set

Q3. In Data Characterization, class under study is called as final class.

TRUE
FALSE

Q4. What is data mining?

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

Q5. How many databases are there in Data warehousing to integrate heterogeneous databases?

3
4
5
2

Q6. Define the use of data cleaning?

correct the inconsistencies in data
to remove the noisy data
All of the above
transformations to correct the wrong data

Q7. In the given options, "Efficiency and scalibility of data mining algorithms" issues comes under?

Mining Methodology and User Interaction Issues
None of the above
Diverse Data Types Issues
Performance Issues

Q8. The analysis performed to uncover interesting statistical correlations between associated-attribute-value pairs is known as Mining of correlations.

TRUE
FALSE

Q9. Which is defined as the data objects that do not comply with the general behaviour or model of the data available?

Outlier Analysis
Prediction
Evolution Analysis
Classification

Q10. What does data mining system classification consists of?

Machine Learning
All of the above
Information Science
Database Technology

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