What is the exam pattern and passing mark for GTU Data Mining (3160714)?

The GTU theory examination carries 70 total marks with a duration of 2.5 Hours. Minimum passing criteria is 23 marks (33%). The paper consists of 5 main questions with official marking breakdown and internal choices.

Where can I download the official GTU 3160714 Summer 2025 question paper PDF?

The official GTU question paper PDF is linked directly from Gujarat Technological University's official examination archive. You can view the full paper online or download the original file.

How can I practice solutions for these GTU questions?

Every question on UnFoldPrep includes deep-linking and one-click AI prompt buttons for ChatGPT, Claude, and Perplexity that instantly formulate structured exam prompts with standard mark breakdowns and academic rubrics.

Gujarat Technological UniversitySummer 2025 examination

GTU 3160714 Data Mining Summer 2025 Question Paper & PDF

B.E. · Computer Engineering · Semester 6 · Subject code 3160714

Download official PDF View PDF here

Share with your class

Total: 70 marks
To pass: 23 marks (33%)
Duration: 2.5 Hours 10:30 AM – 1:00 PM
Questions: 5 with internal choice

No solutions on this paper yetNeed them for your exam? Ask once. Papers that students ask for are solved first, and we aim to add them within 24 hours.

10 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

What is the difference between discrimination and classification?

(b)

4 marksAsked in 7 of 7 papers

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

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

(c)

7 marks

Draw and explain the data mining architecture.

Q.2

14 Marks

(a)

3 marks

Discuss issues to consider during data integration.

(b)

4 marksAsked in 4 of 7 papers

Describe various methods for handling the missing values in the dataset.

Also asked in Winter 2024 Q2a, Summer 2024 Q2c, Summer 2023 Q1b

(c)

7 marks

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

(c)

7 marks

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?

Q.3

14 Marks

(a)

3 marks

What is meant by association rule?

(b)

4 marksAsked in 2 of 7 papers

Write a short note on: Web content mining.

Also asked in Summer 2024 Q4c OR

(c)

7 marksAsked in 4 of 7 papers

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

Also asked in Summer 2026 Q4c, Winter 2025 Q1c, Summer 2024 Q3c OR

(a)

3 marks

What is meant by Maximal Frequent Item Set?

(b)

4 marks

Write a short note on: Web usage mining.

(c)

7 marks

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

Q.4

14 Marks

(a)

3 marksAsked in 3 of 7 papers

What is the difference between “supervised” and unsupervised” learning?

Also asked in Summer 2024 Q4a, Winter 2023 Q3a OR

(b)

4 marksAsked in 2 of 7 papers

What are the attribute selection measures? Explain any one in details.

Also asked in Winter 2023 Q4b

(c)

7 marksAsked in 5 of 7 papers

Discuss about Decision tree induction algorithm with an example.

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

(a)

3 marks

What do you meant by Bayesian Classification?

(b)

4 marks

Describe the issues regarding classification and prediction.

(c)

7 marks

Discuss about Neural Network-Based Algorithms.

Q.5

14 Marks

(a)

3 marksAsked in 4 of 7 papers

What are the requirements of clustering?

Also asked in Summer 2024 Q5c OR, Winter 2023 Q4c OR, Summer 2023 Q5b OR

(b)

4 marksAsked in 4 of 7 papers

Discuss about Outlier Detection.

Also asked in Winter 2025 Q5a, Winter 2024 Q4b OR, Summer 2023 Q3a OR

(c)

7 marks

Discuss about k-nearest neighbor classification algorithm with an example?

(a)

3 marks

State the categories of clustering methods?

(b)

4 marksAsked in 2 of 7 papers

Explain the concept hierarchy.

Also asked in Summer 2026 Q2a

(c)

7 marks

Explain in detail about partitioned Clustering method.

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

Winter 202470 marks · 5 questions

Summer 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

Preparing with friends?

Send this paper to your class group. Every question has its own link.

About this paper

Official Gujarat Technological University (GTU) examination paper 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.

Download official PDF All Data Mining Papers (7) →Report a typo or correction