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Gujarat Technological UniversitySummer 2025 Examination

GTU 3160714 Data Mining Summer 2025 Paper Solution & PDF

B.E. · Computer Engineering · Semester 6 · Subject Code: 3160714
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Total Marks70 MarksExternal theory exam
Passing Marks23 Marks33% minimum cutoff
Exam Duration2.5 Hours10:30 AM – 1:00 PM
Paper Structure5 QuestionsWith internal OR choices
Jump toQ1Q2Q3Q4Q5

Question 1

14 MarksMedium
(a)
What is the difference between discrimination and classification?
3 Marks
(b)

Describe the steps involved in data mining when viewed as a process of knowledge discovery.

4 Marks
(c)
Draw and explain the data mining architecture.
7 Marks

Question 2

14 MarksMedium
(a)
Discuss issues to consider during data integration.
3 Marks
(b)
Describe various methods for handling the missing values in the dataset.
4 Marks
(c)
Use the methods below to normalize the following group of data:

200, 300, 400, 600, 1000

amin-max normalization by setting min = 0 and max = 1
bCalculate z-score normalization
cz-score normalization using the mean absolute deviation instead of standard deviation
dnormalization by decimal scaling
7 Marks
OR OPTION
(c)

For the following data (in increasing order) for the attribute age: 13, 15, 16, 16, 19, 20, 20, 21, 22, 22, 25, 25, 25, 25, 30, 33, 33, 35, 35, 35, 35, 36, 40, 45, 46, 52, 70.

aUse smoothing by bin means to smooth these data, using a bin depth of
3Illustrate your steps. Comment on the effect of this technique for the given data.
bHow might you determine outliers in the data?
cWhat other methods are there for data smoothing?
7 Marks

Question 3

14 MarksMedium
(a)
What is meant by association rule?
3 Marks
(b)
Write a short note on: Web content mining.
4 Marks
(c)

Explain about the Apriori algorithm for finding frequent item sets with an example.

7 Marks
OR OPTION
(a)
What is meant by Maximal Frequent Item Set?
3 Marks
(b)
Write a short note on: Web usage mining.
4 Marks
(c)

Which patterns are interesting? Explain based on Pattern Evaluation Methods.

7 Marks

Question 4

14 MarksMedium
(a)
What is the difference between “supervised” and unsupervised” learning?
3 Marks
(b)
What are the attribute selection measures? Explain any one in details.
4 Marks
(c)
Discuss about Decision tree induction algorithm with an example.
7 Marks
OR OPTION
(a)
What do you meant by Bayesian Classification?
3 Marks
(b)
Describe the issues regarding classification and prediction.
4 Marks
(c)
Discuss about Neural Network-Based Algorithms.
7 Marks

Question 5

14 MarksMedium
(a)
What are the requirements of clustering?
3 Marks
(b)
Discuss about Outlier Detection.
4 Marks
(c)
Discuss about k-nearest neighbor classification algorithm with an example?
7 Marks
OR OPTION
(a)
State the categories of clustering methods?
3 Marks
(b)
Explain the concept hierarchy.
4 Marks
(c)
Explain in detail about partitioned Clustering method.
7 Marks
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About this Examination Paper & Attribution

Official Gujarat Technological University (GTU) examination paper and step-by-step solutions for Data Mining (Summer 2025, B.E. · Computer Engineering, Sem 6). Features complete 70-mark regular & remedial examination pattern, official marking distribution across all 5 questions, and direct 1-click official PDF download.

Transcribed for student exam preparation from Gujarat Technological University official examination archives. Questions, syllabus guidelines, and curriculum marking schemes remain the intellectual property of Gujarat Technological University.

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