Q.1
14 Marks(a)
Define Data Warehouse. State it’s features.
(c)
Explain in detail different steps of KDD process.
Also asked in Summer 2026 Q1c, Winter 2025 Q2c, Summer 2025 Q1b, Winter 2024 Q1c, Summer 2024 Q1b, Summer 2023 Q1c
Gujarat Technological UniversityWinter 2023 examination
GTU 3160714 Data Mining Winter 2023 Question Paper & PDF
B.E. · Computer Engineering · Semester 6 · Subject code 3160714
- Total
- 70 marks
- To pass
- 23 marks (33%)
- Duration
- 2.5 Hours 2:30 PM – 5:00 PM
- Questions
- 5 with internal choice
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13 of 25 questions on this paper were also asked in other years. 1 more is a type of question GTU sets again with new data. Each is marked below with the years it appeared.See all 27 repeated 3160714 questions, most asked first
Q.2
14 Marks(a)
Why to preprocess the data in data Mining?
(b)
Explain Binning method with the help of example.
(c)
Explain following terms related to Association Rule Mining:
Itemset, Support Count, support, and Association rule.Transaction ID Items1 Bread, Milk2 Bread, Chocolate, Pepsi, Eggs3 Milk, Chocolate, Pepsi, Coke4 Bread, Milk, Chocolate, Pepsi5 Bread, Milk, Chocolate, CokeFor given example find support & confidence for{Milk, Chocolate} ⇒ Pepsi.{Milk, Pepsi} → {Chocolate}{Chocolate, Pepsi} → {Milk}OR
(c)
Solve the following problem using Apriori algorithm. Find the frequent itemsets and generate association rules on this. Assume that minimum support threshold (s = 33.33%), minimum confident threshold (c = 60%), minimum support count=2. Transaction ID Items T1 Hot Dogs, Buns, Ketchup T2 Hot Dogs, Buns T3 Hot Dogs, Coke, Chips T4 Chips, Coke T5 Chips, Ketchup T6 Hot Dogs, Coke, Chips
Also asked in Winter 2024 Q2c, Summer 2023 Q2c OR
Q.3
14 Marks(a)
Define the following terms in Data Transformation:
iSmoothing
iiNormalization
iiiDiscretization
(b)
Differentiate between Classification and Prediction.
Also asked in Winter 2025 Q3a OR, Winter 2024 Q4a OR
(c)
Explain Decision Tree Classification algorithm with the help of example.
Also asked in Winter 2025 Q3c, Summer 2025 Q4c, Winter 2024 Q3c, Summer 2024 Q4c
OR
(a)
Differentiate between supervised learning and unsupervised learning.
Also asked in Summer 2025 Q4a, Summer 2024 Q4a
(c)
Explain Naïve Bayes Classifier with example.
Q.4
14 Marks(a)
What do you mean by Tree Pruning? Explain with example.
(b)
Explain the following as attribute selection measure:
i)Information Gain
ii)Gain Ratio
Also asked in Summer 2025 Q4b
(c)
What do you mean by learning-by-observation? Explain k-Means clustering algorithm in detail.
OR
(a)
Define Data Cube. Explain any two operations on it.
(b)
Differentiate between Partition method and Hierarchical method of Clustering.
Also asked in Summer 2024 Q5b
(c)
What are the requirements of Clustering in Data Mining?
Also asked in Summer 2025 Q5a, Summer 2024 Q5c OR, Summer 2023 Q5b OR
Q.5
14 Marks(a)
How K-Mean clustering method differs from K-Medoid clustering method?
Also asked in Summer 2026 Q5b, Summer 2024 Q5b OR, Summer 2023 Q4b OR
(b)
Draw and explain the topology of a multilayer, feed-forward Neural Network.
Also asked in Summer 2026 Q4b
(c)
Explain the major issues in data mining.
Also asked in Summer 2026 Q2c, Winter 2025 Q1b, Summer 2024 Q1c
OR
(a)
Give difference between text mining and web mining.
(b)
Why Hadoop is important?
(c)
What is web log? Explain web structure mining and web usage mining in detail.
Also asked in Summer 2026 Q5c OR
More Data Mining papers
Questions repeat across sessions. Working through two or three papers shows you which topics GTU asks most.
Other Semester 6 subjects
BE Computer
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About this paper
Official Gujarat Technological University (GTU) examination paper for Data Mining (Winter 2023, 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.