Gujarat Technological UniversitySummer 2026 examination

GTU 2170715 Data Mining and Business Intelligence (DMBI) Summer 2026 Question Paper & PDF

B.E. · Computer Engineering · Semester 7 · Subject code 2170715
Download official PDFView PDF here
Share with your class
Total
70 marks
To pass
23 marks (33%)
Duration
2.5 Hours 2:30 PM – 5:00 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.

Q.1

14 Marks
(a)
3 marks

What is Business Intelligence (BI)? What is the role of data warehouse in achieving BI?

(b)
4 marks
Discuss the application of data warehousing and data mining.
(c)
7 marks
Explain KDD process in detail.

Q.2

14 Marks
(a)
3 marks
Explain star schema.
(b)
4 marks
Differentiate between OLAP and OLTP.
(c)
7 marks

Generate strong association rules for given dataset. (Min_supp = 60% and Min_conf = 80%) Team ID Item_Bought

1{M,O,N,K,E,Y}
2{D,O,N,K,E,Y}
3{M,A,K,E}
4{M,U,C,K,Y}
5{C,O,O,K,I,E}
(c)
7 marks

What is data cleaning? Explain Data Cleaning process for missing values & Noisy data.

Q.3

14 Marks
(a)
3 marks
Define support, confidence, and strong association.
(b)
4 marks
Explain Mean, Median, Mode and Variance in brief.
(c)
7 marks
Discuss importance of dimension reduction and algorithms used for it.
(a)
3 marks
Why market basket analysis is important?
(b)
4 marks
What is Cuboid? Explain various OLAP Operations on Data Cube in brief.
(c)
7 marks
List various data pre-processing tasks. Explain briefly any three tasks.

Q.4

14 Marks
(a)
3 marks
Explain Support and Confidence measures by taking appropriate example.
(b)
4 marks
Explain Bayesian learning and inference.
(c)
7 marks

What is Information Gain? Explain classification based on Decision Tree induction with the help of a suitable example.

(a)
3 marks
Write advantages of Business Intelligence.
(b)
4 marks

Explain role of business intelligence in any one business domain. Discuss how it helps in business growth.

(c)
7 marks
Explain linear and non-linear regression.

Q.5

14 Marks
(a)
3 marks
Differentiate between classification and clustering.
(b)
4 marks
Difference between Data Mining and Text Mining
(c)
7 marks
Write a short note on Hadoop MapReduce.
(a)
3 marks
Discuss fraud detection and click-stream analysis using data mining.
(b)
4 marks
What is Big Data? Discuss the 4 V’s of Big Data.
(c)
7 marks
What is distributed file system? Explain HDFS architecture in detail.

More Data Mining and Business Intelligence papers

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

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 and Business Intelligence (DMBI) (Summer 2026, B.E. · Computer Engineering, Sem 7). 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.

ViewDownload PDF