Data Mining and Business Intelligence (2170715) MCQs

MCQs of Introduction to data mining (DM)

Showing 1 to 10 out of 12 Questions
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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
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