Guru Jambheshwar University 2006 M.C.A Data keting and Data Mining - Question Paper
E:-JUN2006
Jmv
(Fifth Semester)
(Re-appear)
MS-31
DATA MARKETING AND DATA MINING
Time : 3 Hours Maximum Marks : 100
Note : Attempt any Five questions. All questions carry equal marks.
1. Explain the evolution and need of data warehousing in detail.
2. Explain the architectures and design techniques used in data warehousing.
3. (a) Explain the obstacles and planning in
implementation of warehousing.
(b) Explain the management of Warehouse.
4. Explain the importance of data mining. Also explain its classification and major issues related to it.
5. (a) Explain Datamining Primitives.
(b) Explain OLAP, MLOAP, ROLAP Technology for data mining.
6. Write short notes on the following :
(a) Statistical measure in large databases
(b) Mining Class Comparison
(c) Data generalization and characterization.
7. Explain mining multilevel association rules from transaction database. Also mention various approaches to mining multilevel association rules.
8. Write short notes on the following :
(a) Classification by decision tree induction
(b) Data Cleaning
(c) Bayesian Classification
(d) Data Reduction.
J-4382-X 2 1,000
|
Attachment: |
| Earning: Approval pending. |
