BSCS 4-2 - CS Elective 4 (Data Mining)

BSCS 4-2 - CS Elective 4 (Data Mining)

University

20 Qs

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BSCS 4-2 - CS Elective 4 (Data Mining)

BSCS 4-2 - CS Elective 4 (Data Mining)

Assessment

Quiz

Instructional Technology

University

Practice Problem

Medium

Created by

Montaigne Molejon

Used 7+ times

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20 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following stages of data mining processes that we unify and convert data within formats from the source system up to the required destination system

Data Integration

Data Cleaning

Data Transformation

Data Selection

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Identifying data points purely on the description of another related data value to determine how they act in an upcoming time

Identification

Prediction

Optimization

Classification

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is the correct statement about data mining?

A subject-oriented integrated time variant non-volatile collection of data support of management

The actual discovery phase of a knowledge discovery processes

The stage of selecting the right data for Knowledge Discovery in Databases (KDD) process.

Group of similar objects that differ significantly from other objects.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following scenario is example of data mining?

Agencies can find out which area is more prone to crime and how much police personnel should be deployed

To find out the yield of vegetables with the amount of water required by the plants

Finding factors that influence the customer’s decisions towards banking

All of the mentioned

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A process of making a group of different data objects into classes of similar data objects

Classification

Regression

Clustering

Association

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

One of the data mining issues which deals in expressing the discovered knowledge in different expressive forms so that it can be easily understood

Incorporation of Background Knowledge

Pattern Evaluation.

Efficiency and Scalability of Data Mining Algorithms.

Presentation and Visualization of Data Mining Results

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A stage in Data Ming Processes where we obtain only relevant data for analysis from the collection of data.

Data Cleaning

Data Integration

Data Transformation

Data Selection

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