Data Mining and Business Intelligence (2170715) MCQs

MCQs of Introduction to data mining (DM)

Showing 1 to 10 out of 12 Questions
1.

Data mining refers to ______

(a)

Special fields for database

(b)

Knowledge discovery from large database 

(c)

Knowledge base for the database

(d)

Collections of attributes

Answer:

Option (b)

2.

An attribute is a  ____

(a)

Normalization of Fields

(b)

Property of the class

(c)

Characteristics of the object

(d)

Summarise value

Answer:

Option (c)

3.

Which are not related to Ratio Attributes?

(a)

Age Group 10-20, 30-50, 35-45 (in Years)

(b)

Mass 20-30 kg, 10-15 kg

(c)

Areas 10-50, 50-100 (in Kilometres)

(d)

Temperature 10°-20°, 30°-50°, 35°-45°

Answer:

Option (d)

4.

The mean is the ________ of a dataset.

(a)

Average

(b)

Middle

(c)

Central

(d)

Ordered 

Answer:

Option (a)

5.

The number that occurs most often within a set of data called as ______

(a)

Mean

(b)

Median

(c)

Mode

(d)

Range

Answer:

Option (c)

6.

Find the range for given data 40, 30, 43, 48, 26, 50, 55, 40, 34, 42, 47, 50

(a)

19

(b)

29

(c)

35

(d)

49

Answer:

Option (b)

7.

Which are not the part of the KDD process from the following 

(a)

Selection

(b)

Pre-processing

(c)

Reduction

(d)

Summation

Answer:

Option (d)

8.

_______ is the output of KDD Process.

(a)

Query

(b)

Useful Information

(c)

Information

(d)

Data

Answer:

Option (b)

9.

Data mining turns a large collection of data into _____

(a)

Database

(b)

Knowledge

(c)

Queries

(d)

Transactions

Answer:

Option (b)

10.

In KDD Process, where data relevant to the analysis task are retrieved from the database means _____

(a)

Data Selection

(b)

Data Collection

(c)

Data Warehouse

(d)

Data Mining

Answer:

Option (a)

Showing 1 to 10 out of 12 Questions