Information Technology Engineering Sem 6 Data Mining and Business Intellingence00024209cbsgs Question Paper PDF 2026 - Mumbai University | munotes
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Questions asked in this paper
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Q2 (a) Explain multidimensional and multilevel association rule with e.g. 10 marks
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Q2 (b) Explain DBSCAN algorithm using appropriate diagrams? 10 marks
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Q3 (a) Explain APRIORI algorithm to identify the frequent set than extract strong association rule from these sets? 10 marks
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Q3 (b) Briefly explain bagging and boosting of classifiers? Paper Subject Code: 37304 DATA MINING AND BUSINESS INTELLINGENCE 10 marks
- Q.P. Code: 24209
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Q4 (a) Use Hierarchical clustering algorithm to cluster the following 8 points into 3 10 marks
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Q4 (b) Explain the designer of BI system for credit card fraud detection? 10 marks
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Q5 (a) Explain birch algorithm? 10 marks
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Q5 (b) Define Decision support system and how it is related with data mining? in detail with suitable e.g. 10 marks
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Q6 (a) Explain business intelligence issues? 10 marks
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Q6 (b) Short note on Data mining steps in KDD? Explain its architecture 10 marks
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Information Technology Engineering Sem 6 Paper Path
Use this paper as one timed INFT mock, then compare Wireless Technology, Ethical Hacking, Cloud Computing, and Project Management papers from nearby Mumbai University year sets.
Step: Open this Information Technology Engineering paper in the free viewer first.
Step: Compare the year set and nearby INFT subjects for repeated paper patterns.
Step: Use notes only for topics where marks were missed during practice.
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