Data Mining

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

2
3
4
5

Q2. What is data mining?

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

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

Classification
Prediction
Evolution Analysis
Outlier Analysis

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

Data Sub Structure
Data Characterization
Data Set
Data Discrimination

Q5. The analysis performed to uncover interesting statistical correlations between associated-attribute-value pairs is known as Mining of correlations.

FALSE
TRUE

Q6. What does data mining system classification consists of?

Machine Learning
Information Science
All of the above
Database Technology

Q7. How many databases are there in Data warehousing to integrate heterogeneous databases?

5
4
2
3

Q8. Define the use of data cleaning?

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

Q9. In Data Characterization, class under study is called as final class.

FALSE
TRUE

Q10. In the given options, "Efficiency and scalibility of data mining algorithms" issues comes under?

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

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