Data Mining (3160714) MCQs

MCQs of Data Pre-processing

Showing 11 to 20 out of 29 Questions
1 2 3
11.

Data often contain _____

(a)

Target Class
(b)

Uncertainty
(c)

Methods
(d)

Keywords
Answer:

Option (b)

12.

Data selection is _____

(a)

The actual discovery phase of a knowledge discovery process
(b)

The stage of selecting the right data for a KDD process
(c)

A subject-oriented integrated time-variant non-volatile collection of data in support of management
(d)

Record oriented classes finding
Answer:

Option (b)

13.

To remove noise and inconsistent data ____ is needed.

(a)

Data Cleaning
(b)

Data Transformation
(c)

Data Reduction
(d)

Data Integration
Answer:

Option (a)

14.

Multiple data sources may be combined is called as _____

(a)

Data Reduction
(b)

Data Cleaning
(c)

Data Integration
(d)

Data Transformation

 
Answer:

Option (c)

15.

A _____ is a collection of tables, each of which is assigned a unique name which uses the entity-relationship (ER) data model.

(a)

Relational database
(b)

Transactional database
(c)

Data Warehouse
(d)

Spatial database
Answer:

Option (a)

16.

Relational data can be accessed by _____ written in a relational query language.

(a)

Methods
(b)

Queries
(c)

Operations
(d)

Function
Answer:

Option (b)

17.

______ investigates how computers can learn (or improve their performance) based on data.

(a)

Artificial Intelligence
(b)

Machine Learning
(c)

Statistics
(d)

Visualization
Answer:

Option (b)

18.

Which statement about outliers is true? 

(a)

Outliers should be part of the training dataset but should not be present in the test data.
(b)

Outliers should be identified and removed from a dataset. 
(c)

The nature of the problem determines how outliers are used.
(d)

Outliers should be part of the test dataset but should not be present in the training data.
Answer:

Option (c)

19.

The mapping or classification of a class with some predefined group or class is known as?

(a)

Data Characterization
(b)

Data Discrimination
(c)

Data Set
(d)

Data Sub Structure
Answer:

Option (b)

20.

What is the use of data cleaning?

(a)

To remove the noisy data
(b)

Correct the inconsistencies in data
(c)

Transformations to correct the wrong data
(d)

All of the above
Answer:

Option (d)

Showing 11 to 20 out of 29 Questions
1 2 3