
BSCS 3-4 - Elec 2 (Data Mining) - Final Exam - 2nd Sem 24-25
Authored by Montaigne Molejon
Computers
University
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31 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 Transformation
Data Cleaning
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
Prediction
Classification
Identification
Optimization
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 stage of selecting the right data for Knowledge Discovery in Databases (KDD) process
The actual discovery phase of a knowledge discovery processes
Group of similar objects that differ significantly from other objects
4.
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
5.
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
Presentation and Visualization of Data Mining Results
Pattern Evaluation
Incorporation of Background Knowledge
Efficiency and Scalability of Data Mining Algorithms
6.
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
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
One of the activities performed in data mining is summarization, which means?
To find out the group of objects which are similar to each other but are different from the object in another group
To find out the continuous quantity for new observations using the knowledge gained from the previous data
To find out the overall generated data and its calculation in an easily comprehensible and informative manner
To accurately find out the target class for each case in the data
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