Information Technology Engineering Sem 6 Data Mining and Business Intellingence00076938cbsgs Question Paper PDF 2026 - Mumbai University | munotes
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Questions asked in this paper
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Q2 Attempt any three questions out of the remaining five questions
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Q1 (a) Give any two techniques of data preprocessing 5 marks
- (b) Explain Confusion matrix with one example 5
- (c) Give the steps of K means clustering algorithm 5
- (d) Explain concept hierarchy with example 5
- (a) Write a short note on Naive Bayesian classification 10
- (b) Explain bagging technique 10
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Q3 (a) Explain density based clustering 10 marks
- (b) What do you mean by outlier? Give the types of it. Explain how the efficiency of Apriori algorithm is improved (10) 10
- (a). Suppose a group of 12 sales price records has been stored as follows: What is BI? Define decision support system. (10) What is an attribute? Explain its types. (10) 10
- (b) Explain the knowledge discovery process with diagram 10
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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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