Data Warehousing and Data Mining Quiz

Data Warehousing and Data Mining Quiz

University

16 Qs

quiz-placeholder

Similar activities

Data Structures

Data Structures

University

20 Qs

Data Link Layer 3C

Data Link Layer 3C

University

17 Qs

Exploitation

Exploitation

University

13 Qs

Pictoria Quiz

Pictoria Quiz

University

18 Qs

Computer Vision Quiz

Computer Vision Quiz

University

12 Qs

Data Warehouse - Foundations 2

Data Warehouse - Foundations 2

University

18 Qs

IS 314-Predictive Analytics Questionnaire

IS 314-Predictive Analytics Questionnaire

University

18 Qs

Data Science

Data Science

University

20 Qs

Data Warehousing and Data Mining Quiz

Data Warehousing and Data Mining Quiz

Assessment

Quiz

Computers

University

Hard

Created by

Krishndeo Pawar

Used 1+ times

FREE Resource

16 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is another name for data mining?

Information Retrieval Method

Big Data Analysis

Knowledge Discovery in Data

Data Extraction Technique

Answer explanation

Another name for data mining is Knowledge Discovery in Data.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which decade saw the introduction of data mining and data warehousing?

1960s

1980s

1970s

1990s

Answer explanation

The correct decade that saw the introduction of data mining and data warehousing was the 1990s.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the process of finding potentially useful patterns from huge data sets called?

Data Extraction

Data Interpretation

Data Analysis

Data Mining

Answer explanation

The process of finding potentially useful patterns from huge data sets is called Data Mining.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which technique is used to remove noise and inconsistent data in the data cleaning process?

Clustering

Regression

Outlier Detection

Binning

Answer explanation

Outlier Detection is used to remove noise and inconsistent data in the data cleaning process.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the goal of data selection in data mining?

To introduce noise into the dataset

To remove all irrelevant data

To increase the dataset size

To ensure the dataset is representative and manageable

Answer explanation

The goal of data selection in data mining is to ensure the dataset is representative and manageable by removing irrelevant data and introducing noise.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which data transformation technique involves converting continuous attributes into discrete categories or intervals?

Aggregation

Generalization

Normalization

Discretization

Answer explanation

Discretization involves converting continuous attributes into discrete categories or intervals.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main responsibility of the Pattern Evaluation Modules in data mining architecture?

Pattern Evaluation

Data Integration

Knowledge Presentation

Data Cleaning

Answer explanation

Pattern Evaluation Modules in data mining architecture are primarily responsible for Pattern Evaluation.

Create a free account and access millions of resources

Create resources
Host any resource
Get auto-graded reports
or continue with
Microsoft
Apple
Others
By signing up, you agree to our Terms of Service & Privacy Policy
Already have an account?