Alagappa University 2007 M.C.A DATA WAREHOUSING AND MINING - Question Paper

Time : 3 hours Maximum : 100 marks
ans any 5 ques..
All ques. carry equal marks.
(5 * 20 = 100)

1. (a) Explain Data mining in marketing.
(b) Discuss concept learning.

2. (a) Discuss the Decision trees.
(b) Discuss the visualization techniques.

3. (a) Discuss the KDD environment.
(b) Explain the role of neural networks in the knowledge discovery process.

4. (a) Discuss what is an aggregation. Why aggregate?
(b) Discuss costs of data mining.

5. (a) Discuss Meta data and tools.
(b) Explain Data warehouse process managers.

6. (a) Discuss Network hardware architecture.
(b) Discuss client hardware architecture.

7. (a) Discuss whether the Data warehouse is an operational system or not.
(b) Discuss Day-to-Day operations of the data warehouse.

8. (a) Discuss Tuning the Data load.
(b) Discuss testing of the data warehouse operational environment.

Earning:   Approval pending.