BSc CS Sem 6 October 2025 October 2025 Data Mining & Warehousing Question Paper - Mumbai University | munotes

Questions asked in this paper

• 2) Figures to the right indicate marks

1. Q3 Illustrations, in-depth answers and diagrams will be appreciated
2. Q4 Mixing of sub-questions is not allowed
3. Q1 Attempt ANY FOUR from the following: (20M)
   • (a) Write a note on granularity of facts
   • (b) How would you describe Dimensional Model. Also explain steps to design
   • (c) Compare Virtual and Hybrid Data Warehouses
   • (d) Elaborate parts of Data Warehouse
   • (e) Design a Star Schema for Data Warehouse of Library Management System
   • (f) When do you prefer Virtual Data Warehouse model? Justify your answer
4. Q2 Attempt ANY FOUR from the following: (20M)
   • (a) What are various social implications of data mining?
   • (b) What kind of data can be mined form Data Mining?
   • (c) Discuss pre-processing of data in the data mining
   • (d) Explain FP-growth algorithm
   • (e) Explain the terms Support ,Confidence, and Lift in Association Rule metrics
   • (f) For the given following data, apply Apriori algorithm. (Min. Support= 50%,
5. Q3 Attempt ANY FOUR from the following: (20M)
   • (a) Discuss various classification models in detail
   • (b) Explain logistic regression with example
   • (c) Discuss why identifying outliers is important in datasets?
   • (d) What is clustering analysis in data mining process?
   • (e) How can you measure performance of classifier? Explain in brief
   • (f) What are some real-world applications where clustering algorithms play a significant role in different industries and domains? Attempt ANY FIVE from the following: (15M)
   • (a) Differentiate between OLTP and OLAP
   • (b) a note-in Data Mart
   • (c) How prediction and classification differ from each other
   • (d) Discuss Functional dependency of data
   • (e) Define attribute and enlist its types
   • (f) State the applications of Classification

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