Data Mining

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

5
2
4
3

Q2. How many databases are there in Data warehousing to integrate heterogeneous databases?

4
3
2
5

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

Evolution Analysis
Outlier Analysis
Prediction
Classification

Q4. In Data Characterization, class under study is called as final class.

FALSE
TRUE

Q5. 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

Q6. What does data mining system classification consists of?

Machine Learning
Information Science
All of the above
Database Technology

Q7. The mapping or classification of a class with some predefined group or class is called.

Data Set
Data Sub Structure
Data Discrimination
Data Characterization

Q8. In the given options, "Efficiency and scalibility of data mining algorithms" issues comes under?

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

Q9. Define the use of data cleaning?

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

Q10. The analysis performed to uncover interesting statistical correlations between associated-attribute-value pairs is known as Mining of correlations.

FALSE
TRUE

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