Question 1
A data warehouse is a subject-oriented, integrated, time-variant, and nonvolatile collection of data – Justify.
Describe the steps involved in data mining when viewed as a process of knowledge discovery.
A data warehouse is a subject-oriented, integrated, time-variant, and nonvolatile collection of data – Justify.
Describe the steps involved in data mining when viewed as a process of knowledge discovery.
What is Concept Hierarchy? List and explain types of Concept Hierarchy.
Explain the need for data smoothing during pre-processing and discuss data smoothing by Binning.
Explain measures for finding rule interestingness (support,confidence) with example.
Compare association and classification. Briefly explain associative classification with suitable example.
Explain Hash-based technique to improve efficiency of Apriori algorithm.
Write and discuss the algorithm which is used to generate frequent itemsets using an iterative level-wise approach based on candidate generation.
What is classification? Explain classification as a two step process with diagram.
How K-Mean clustering method differs from K-Medoid clustering method?
What is web log? Explain web structure mining and web usage mining in detail.
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Official Gujarat Technological University (GTU) examination paper and step-by-step solutions for Data Mining (Summer 2026, 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.
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