University of Sargodha BS 2u Semester (5 Intake) Exam 2025 Subject: L.T Time Allowed: 02:30 Hours
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Paper text
University of Sargodha
BS 2u Semester (5 Intake) Exam 2025
Subject: L.T
Time Allowed: 02:30 Hours
Paper: Data Mining (ITEC-4442)
Note: Objective part is compulsory. Attempt any three questions from subjective part.
(Illustrate your answer with diagram where needed).
Maximum Marks: 60
Objective Part
(Compulsory)
0.1.
ustad
Write short enswers of the following in 2 fines each on your unswer sheet.
What is raw data in data mining? deti
How is missing data handled in the context of data preparation?
What are outliers? •
Describe the purpose of Principal Component Analysis (CA) in data reduction.
List supervised learning models used in data mining.
What distinguishes a MI from traditional programmine?
Define supervised learning and provide an example.
How do Support Vector Machines (SVMs) function in machine learning?
What is an artificial neuron?
Why multi-layer perceptron is used?
What is difference between supervised and unsupervised data!
What is an association rule?
dni.corR*2,
0.3.
Q.4.
0.5.
Q.6.
Subjective Part
(3*12)
Explain the significance of the Genetic Algorithm. How and why it used show with example?
What is Decision Tree? Explain the how the root node is selected show with example and diagrams?
Write a note on clustering, list different methods of clustering and explain with examples and diagrams.
What is Artificial Neural Network, how it is trained, show with examples and diagrams?
What is fuzzy logic and explain fuzzy sets and how fuzzy inference systems work show with detail?
-- LK-9137/23-12-25
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