Question 1
(a)
Define each of the following data mining functionalities: characterization, discrimination, regression.
3 Marks
(b)
How is a data warehouse different from database?
4 Marks
(c)
Explain KDD process.
7 Marks
Gujarat Technological UniversityWinter 2024 Examination
GTU 3160714 Data Mining Winter 2024 Paper Solution & PDF
B.E. · Computer Engineering · Semester 6 · Subject Code: 3160714
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
Question 2
(a)
How to handle missing values? Explain.
3 Marks
(b)
How to handle noisy data?
4 Marks
(c)
Consider a database, D, consisting of 9 transactions. Suppose min. support count required is 2. Let minimum confidence required is 70%. Find out the frequent itemset using Apriori algorithm.
7 Marks
OR OPTION
(c)
A database has five transactions. Let min sup=60% and min conf =80%. Tid Item brought T100 T200 T300 T400 T500 {M, O, N, K, E, Y} {D, O, N, K, E, Y} {M, A, K, E} {M, U, C, K, Y} {C, O, O, K, I, E} Find all frequent item sets using Apriori and FP-growth, respectively. Compare the efficiency of the two mining processes.
7 Marks
Question 3
(a)
Explain market basket analysis.
3 Marks
(b)
Explain Linear regression.
4 Marks
(c)
Explain decision tree algorithm.
7 Marks
OR OPTION
(a)
Explain WEKA tool.
3 Marks
(b)
Explain logistic regression.
4 Marks
(c)
Explain CART Classification Method.
7 Marks
Question 4
(a)
Compare classification and Clustering.
3 Marks
(b)
Which metrics used for evaluating classifier performance?
4 Marks
(c)
Explain Principal Component Analysis.
7 Marks
OR OPTION
(a)
Compare classification and prediction.
3 Marks
(b)
Explain outlier detection.
4 Marks
(c)
Explain Backpropagation algorithm.
7 Marks
Question 5
(a)
Write applications of clustering graph and network data.
3 Marks
(b)
What is Web log structure? And discuss issues regarding web logs.
4 Marks
(c)
Explain PAM clustering Algorithm.
7 Marks
OR OPTION
(a)
Write similarity measures for clustering graph and network data.
3 Marks
(b)
Explain Web Structure mining.
4 Marks
(c)
Write Applications of Distributed and parallel Data Mining.
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 (Winter 2024, 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.