Define data mining. Describe three challenges to data mining regarding data mining methodology and user interaction issues.
In real-world data, tuples with missing values for some attributes are a common occurrence. Describe various methods for handling this problem.
Give the difference between Boolean association rule and quantitative association rule.
What are the limitations of the apriori approach for mining? Briefly describe the techniques to improve the efficiency of apriori algorithm.
What are the difference between supervised learning and unsupervised learning?
What is information gain? Explain the steps required to generate a decision tree from a training data set.
Illustrate strength and weakness of k-mean in comparison with k-medoid algorithm.
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Official Gujarat Technological University (GTU) examination paper and step-by-step solutions for Data Mining (Summer 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.
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