Data Mining

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

TRUE
FALSE

Q2. In Data Characterization, class under study is called as final class.

TRUE
FALSE

Q3. In the given options, "Efficiency and scalibility of data mining algorithms" issues comes under?

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

Q4. What is data mining?

Data mining also involves other processes such as Data Cleaning, Data Integration, Data Transformation
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

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

4
2
5
3

Q6. The mapping or classification of a class with some predefined group or class is called.

Data Set
Data Discrimination
Data Sub Structure
Data Characterization

Q7. In data mining, how many categories of functions are involved?

5
3
2
4

Q8. Define the use of data cleaning?

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

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

Classification
Evolution Analysis
Outlier Analysis
Prediction

Q10. What does data mining system classification consists of?

Machine Learning
Information Science
Database Technology
All of the above

Your Score

- of - questions are answered correctly

For Support

Office Hours

We are on

Company

Customer Service

Help

Your Score

- of - questions are answered correctly

Login to view answer sheet

FORGOT PASSWORD

SIGN UP