Gujarat Technological UniversitySummer 2026 Examination

GTU 3160714 Data Mining Summer 2026 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)
Define Schema. Explain the following schemas with suitable example.
1)Star
2)Snowflakes
3)Constellations
3 Marks
(b)

A data warehouse is a subject-oriented, integrated, time-variant, and nonvolatile collection of data – Justify.

4 Marks
(c)

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

7 Marks

Question 2

14 MarksMedium
(a)

What is Concept Hierarchy? List and explain types of Concept Hierarchy.

3 Marks
(b)
Differentiate OLAP and OLTP.
4 Marks
(c)
Explain the major issues in data mining
7 Marks
OR OPTION
(c)

Explain the need for data smoothing during pre-processing and discuss data smoothing by Binning.

7 Marks

Question 3

14 MarksMedium
(a)
Briefly explain Linear and Non-linear regression.
3 Marks
(b)

Explain measures for finding rule interestingness (support,confidence) with example.

4 Marks
(c)

Compare association and classification. Briefly explain associative classification with suitable example.

7 Marks
OR OPTION
(a)
Discuss following terms.
1)Supervised learning
2)Correlation analysis
3 Marks
(b)
Write a note on incremental Association Rule Mining.
4 Marks
(c)

Explain Hash-based technique to improve efficiency of Apriori algorithm.

7 Marks

Question 4

14 MarksMedium
(a)
Define “clustering”? Mention any two applications of clustering.
3 Marks
(b)
Draw the topology of a multilayer, feed-forward Neural Network.
4 Marks
(c)

Write and discuss the algorithm which is used to generate frequent itemsets using an iterative level-wise approach based on candidate generation.

7 Marks
OR OPTION
(a)
Explain web mining using example.
3 Marks
(b)

What is classification? Explain classification as a two step process with diagram.

4 Marks
(c)
Discuss the main features of Hadoop Distributed File System.
7 Marks

Question 5

14 MarksMedium
(a)
Explain Hadoop storage – HDFS.
3 Marks
(b)

How K-Mean clustering method differs from K-Medoid clustering method?

4 Marks
(c)
Explain mapreduce. Explain any example using mapreduce.
7 Marks
OR OPTION
(a)
Explain data mining application for fraud detection.
3 Marks
(b)
Dicuss the Applications of Distributed and parallel Data Mining.
4 Marks
(c)

What is web log? Explain web structure mining and web usage mining in detail.

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 2026, 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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