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Data Mining Methodologies and Applications

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

Knowledge discovery from data is ____

a)

Data analysis

b)

Data mining

c)

Data visualization

d)

Data preparation

2.

Which of the following is NOT connected to the data mining field?

a)

Pattern recognition

b)

High-performance computing

c)

Personal smile

d)

Algorithm

3.

____ is a step-by-step method of solving a problem

a)

Projector

b)

Algorithm

c)

Book

d)

Smartphone

4.

The row in a structured data is called ____

a)

Attribute

b)

Feature

c)

Instance

d)

Variable

5.

Which of the following is a common task in data mining?

a)

Classification

b)

Jogging

c)

Cooking

d)

Painting

6.

In structured data, a column is also known as ____

a)

Tuple

b)

Record

c)

Attribute

d)

Instance

7.

Replace the missing value with the ____ if it is numeric

a)

mean of the attribute

b)

mode of the attribute

c)

median of the attribute

d)

variance of the attribute

8.

____ is the process of combining data from different sources and formats into a unified view

a)

Data reduction

b)

Data integration

c)

Data transformation

9.

____ technique is an example of data transformation

a)

Attribute selection

b)

Filtering

c)

Regression

d)

Normalization

10.

Which of the following best describes data cleaning?

a)

Compressing data to save space

b)

Removing errors and inconsistencies from data

c)

Encrypting data for security

d)

Drawing graphs from data