Data Mining

Q1. The analysis performed to uncover interesting statistical correlations between associated-attribute-value pairs is known as Mining of correlations.

FALSE
TRUE

Q2. 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

Q3. Which is defined as the data objects that do not comply with the general behaviour or model of the data available?

Outlier Analysis
Classification
Evolution Analysis
Prediction

Q4. The mapping or classification of a class with some predefined group or class is called.

Data Set
Data Characterization
Data Sub Structure
Data Discrimination

Q5. Define the use of data cleaning?

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

Q6. How many databases are there in Data warehousing to integrate heterogeneous databases?

3
2
5
4

Q7. In Data Characterization, class under study is called as final class.

TRUE
FALSE

Q8. What does data mining system classification consists of?

Information Science
Database Technology
All of the above
Machine Learning

Q9. In data mining, how many categories of functions are involved?

4
5
3
2

Q10. What is data mining?

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

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