Data Mining

Q1. What does data mining system classification consists of?

Information Science
All of the above
Machine Learning
Database Technology

Q2. Which is defined as the data objects that do not comply with the general behaviour or model of the data available?

Classification
Evolution Analysis
Prediction
Outlier Analysis

Q3. 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

Q4. In data mining, how many categories of functions are involved?

3
2
5
4

Q5. 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

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

3
2
4
5

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

Data Characterization
Data Discrimination
Data Sub Structure
Data Set

Q8. Define the use of data cleaning?

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

Q9. The analysis performed to uncover interesting statistical correlations between associated-attribute-value pairs is known as Mining of correlations.

FALSE
TRUE

Q10. In Data Characterization, class under study is called as final class.

TRUE
FALSE

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