Answers All the Questions
Part
– A[10x2=20 marks]
1. What
is data warehousing?
2. What
are the purposes of data warehousing?
3. What
arethe advantages and disadvantages of data warehouses?
4. What
is metadata repository?
5. What
is multidimensional data model (MDDM)?
6. Explain
clustering analysis.
7. What
are the requirements of clustering in data mining?
8. Explain
outlier analysis and approaches of outlier analysis?
9. What
are the types of data in cluster analysis?
10. What
are the methods of clustering High-Dimensional data?
Part
– B[16x5=80 marks]
11. a.
i. What is difference between operational database systems and data warehouses? (8)
ii. Explain about building a data warehouse? (8)
12. a.
i. Briefly explain about mapping the data warehouse to a multiprocessor
architecture? (8)
ii. Explain components of data warehousing? (8)
13.a .i.
Briefly explain about the data extraction, cleanup and transformation tools? (8) ii. Explain about the major clustering methods? (8)
14.a.Explain the types of variables in Data
analysis? (16)
15.a.
Explain about outlier analysis? (16)
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