Data Mining

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

2

3

4

5

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

FALSE

TRUE

Q3. What does data mining system classification consists of?

Information Science

Machine Learning

Database Technology

All of the above

Q4. What is data mining?

Data Mining is defined as the procedure of extracting information from huge sets of data

All of the above

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

Data mining is the procedure of mining knowledge from data

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

FALSE

TRUE

Q6. Define the use of data cleaning?

transformations to correct the wrong data

correct the inconsistencies in data

All of the above

to remove the noisy data

Q7. In the given options, "Efficiency and scalibility of data mining algorithms" issues comes under?

Diverse Data Types Issues

Performance Issues

None of the above

Mining Methodology and User Interaction Issues

Q8. 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

Q9. The mapping or classification of a class with some predefined group or class is called.

Data Discrimination

Data Characterization

Data Sub Structure

Data Set

Q10. How many databases are there in Data warehousing to integrate heterogeneous databases?

2

3

4

5

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