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Gujarat Technological UniversitySummer 2024 Examination

GTU 2170715 Data Mining and Business Intelligence (DMBI) Summer 2024 Paper Solution & PDF

B.E. · Computer Engineering · Semester 7 · Subject Code: 2170715
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Total Marks70 MarksExternal theory exam
Passing Marks23 Marks33% minimum cutoff
Exam Duration2.5 Hours2:30 PM – 5:00 PM
Paper Structure5 QuestionsWith internal OR choices
Jump toQ1Q2Q3Q4Q5

Question 1

14 MarksMedium
(a)

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

3 Marks
(b)
How OLAP is different from OLTP?
4 Marks
(c)
Discuss architecture of data warehouse with diagram.
7 Marks

Question 2

14 MarksMedium
(a)
What is data mart? How it differ from data warehouse?
3 Marks
(b)
Explain star schema.
4 Marks
(c)
What is data mining? Explain various techniques of data mining.
7 Marks
OR OPTION
(c)

What are data cubes? How Drill-down, roll-up, slice and dice operation affects the data cubes?

7 Marks

Question 3

14 MarksMedium
(a)
Why market basket analysis is important?
3 Marks
(b)
How data cleaning is performed? Explain with one example.
4 Marks
(c)

List various data pre-processing tasks. Explain briefly any three tasks.

7 Marks
OR OPTION
(a)
Define support, confidence, and strong association.
3 Marks
(b)
Discuss information gain and gini index.
4 Marks
(c)

Discuss importance of dimension reduction and algorithms used for it.

7 Marks

Question 4

14 MarksMedium
(a)
Differentiate logistic and linear regression.
3 Marks
(b)

How classification is differs from prediction? Explain phases of classification task.

4 Marks
(c)

Using Apriori algorithm, find all frequent item sets for following transaction data. ( Take min_sup=60% and min_conf=80% ) ID Items 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}

7 Marks
OR OPTION
(a)

Draw diagram of neural network with one i/p layer, 3 hidden layers and 1 o/p layer. Show bias and weights at proper place.

3 Marks
(b)
Explain Bayesian learning and inference.
4 Marks
(c)
Explain Apriori algorithm with the steps required to improve it.
7 Marks

Question 5

14 MarksMedium
(a)
Differentiate between classification and clustering.
3 Marks
(b)
Explain role of business intelligence in any one business domain.

Discuss how it helps in business growth.

4 Marks
(c)
Explain working of decision tree with suitable example.
7 Marks
OR OPTION
(a)

Which data mining technique is most suitable for fraud detection? Justify your answer.

3 Marks
(b)

Discuss spatial mining and text mining in brief and list out their applications.

4 Marks
(c)
Explain logistic regression with appropriate example.
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 and Business Intelligence (DMBI) (Summer 2024, 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.

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