Pondicherry University 2009 M.C.A Data warehosing and Mining, - Question Paper
M C A. DEGREE EXAMINATION, MAY 2009.
Fifth Semester
Computer Applications
DATA WAREHOUSING AND MINING
Time : Throe hours Maximum : 75 marks
Answer FTVE questions by choosing ONE full from each
Unit.
All questions carry equal markB.
UNIT I
1. (a) Discuss the architecture of a typical data mining system of the major components in detail. (ft)
M C A. DEGREE EXAMINATION, MAY 2009.
(b) Describe the various classifications of data mining according to the different criteria in briefly. (7)
Or
2. (a) Explain how data warehouse differ from data base in briefly. (8)
M C A. DEGREE EXAMINATION, MAY 2009.
(b) Explain the features of data warehouse. (7)
3. (a) Explain bow to design appropriate data warehouse schemas from the logical requirements model. (8)
(b) Briefly discuss about Backup and recovery strategy of data warehouse. (7)
Or
4. (a) Discus* the horizontal partitioning and vertical partitioning process in detail. (8)
(b) Explain how to determine the appropriate aggregation strategy in detail. (7)
UNIT 11!
5. (a) Explain the importance of data mining query language. (8)
(b) Write a cube based incremental algorithm for mining analytical class comparisons. (7)
Or
6. (a) Briefly explain the native Bayesian classification. (8)
(b) Describe the various kinds of constraints with suitable example. (7)
M C A. DEGREE EXAMINATION, MAY 2009.
7. (a) Discuss the data mining system products and research prototypes. (8)
fb) Describe the various trends in data mining. (?)
Or
8. (a) Discuss the various approaches of outlier analysis with suitable example for each approach. (8)
(b) Explain the different types of data in cluster analysis. (7)
UNITV
9. Describe the OLEDB for DM specifications with their operations. (15)
Or
10. Discuss the DB miner in detail. (15)
3 MCA (K>9
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