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

Quiz
•
Instructional Technology
•
University
•
Medium
Montaigne Molejon
Used 7+ times
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20 questions
Show all answers
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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