Gujarat Technological UniversitySummer 2024 examination

GTU 3160714 Data Mining Summer 2024 Question Paper & PDF

B.E. · Computer Engineering · Semester 6 · Subject code 3160714
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Total
70 marks
To pass
23 marks (33%)
Duration
2.5 Hours 10:30 AM – 1:00 PM
Questions
5 with internal choice
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15 of 25 questions on this paper were also asked in other years. Each is marked below with the years it appeared.See all 27 repeated 3160714 questions, most asked first

Q.1

14 Marks
(a)
3 marks

Define data mining. Describe three challenges to data mining regarding data mining methodology and user interaction issues.

(b)
4 marksAsked in 7 of 7 papers
Explain the steps in knowledge discovery.

Also asked in Summer 2026 Q1c, Winter 2025 Q2c, Summer 2025 Q1b, Winter 2024 Q1c, Winter 2023 Q1c, Summer 2023 Q1c

(c)
7 marksAsked in 4 of 7 papers
Explain the various data mining issues.

Also asked in Summer 2026 Q2c, Winter 2025 Q1b, Winter 2023 Q5c

Q.2

14 Marks
(a)
3 marksAsked in 2 of 7 papers
What are the smoothing techniques available to remove noise?

Also asked in Winter 2024 Q2b

(b)
4 marks
Discuss normalization in detail.
(c)
7 marksAsked in 4 of 7 papers

In real-world data, tuples with missing values for some attributes are a common occurrence. Describe various methods for handling this problem.

Also asked in Summer 2025 Q2b, Winter 2024 Q2a, Summer 2023 Q1b

(c)
7 marks
Discuss data discretization and concept hierarchy generation.

Q.3

14 Marks
(a)
3 marks
How are association rules mined from large databases?
(b)
4 marks

Give the difference between Boolean association rule and quantitative association rule.

(c)
7 marks

What are the limitations of the apriori approach for mining? Briefly describe the techniques to improve the efficiency of apriori algorithm.

(a)
3 marksAsked in 2 of 7 papers
Describe two interesting measures for association rules.

Also asked in Summer 2026 Q3b

(b)
4 marks
How Meta rules are useful in constraint based association mining.
(c)
7 marksAsked in 4 of 7 papers
Write an algorithm for finding frequent item-sets using candidate generation.

Also asked in Summer 2026 Q4c, Winter 2025 Q1c, Summer 2025 Q3c

Q.4

14 Marks
(a)
3 marksAsked in 3 of 7 papers

What are the difference between supervised learning and unsupervised learning?

Also asked in Summer 2025 Q4a, Winter 2023 Q3a OR

(b)
4 marksAsked in 2 of 7 papers
Write down short note on backpropagation.

Also asked in Winter 2024 Q4c OR

(c)
7 marksAsked in 5 of 7 papers

What is information gain? Explain the steps required to generate a decision tree from a training data set.

Also asked in Winter 2025 Q3c, Summer 2025 Q4c, Winter 2024 Q3c, Winter 2023 Q3c

(a)
3 marksAsked in 2 of 7 papers
Differentiate between linear regression and nonlinear regression.

Also asked in Summer 2026 Q3a

(b)
4 marks
Explain various methods of evaluating accuracy of classifier.
(c)
7 marksAsked in 2 of 7 papers
Write a short on: web content mining.

Also asked in Summer 2025 Q3b

Q.5

14 Marks
(a)
3 marks
Explain temporal mining.
(b)
4 marksAsked in 2 of 7 papers
Differentiate between partitioning and hierarchical methods for clustering.

Also asked in Winter 2023 Q4b OR

(c)
7 marks
Explain following clustering algorithm in details:
1)CLARA
2)BIRCH
(a)
3 marksAsked in 3 of 7 papers
List out the applications of distributed and parallel data mining.

Also asked in Summer 2026 Q5b OR, Winter 2024 Q5c OR

(b)
4 marksAsked in 4 of 7 papers

Illustrate strength and weakness of k-mean in comparison with k-medoid algorithm.

Also asked in Summer 2026 Q5b, Winter 2023 Q5a, Summer 2023 Q4b OR

(c)
7 marksAsked in 4 of 7 papers
Explain the typical requirements of clustering in data mining.

Also asked in Summer 2025 Q5a, Winter 2023 Q4c OR, Summer 2023 Q5b OR

More Data Mining papers

Questions repeat across sessions. Working through two or three papers shows you which topics GTU asks most.

Summer 202670 marks · 5 questions
Winter 202570 marks · 5 questions
Summer 202570 marks · 5 questions
Winter 202470 marks · 5 questions

Other Semester 6 subjects

BE Computer

116AG01
Deep Learning and Neural Network
2160701
Software Engineering
2160704
Theory of Computation
2160707
Advanced Java

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About this paper

Official Gujarat Technological University (GTU) examination paper for Data Mining (Summer 2024, 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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