Data Warehousing and Data Mining 2071

                                                      Group-A

                                          Attempt any two questions.                (10x2=20) 

1. What do you mean by representative object based clustering technique? Explain in detail with example.

2. Explain the various data mining task primitives in detail.

3. Explain the architecture of data mining system with schematic diagram.

                                                         Group-B

                                       Attempt any eight questions.                           (8x5=40)      

4. What are the basic stages of KDD?

5. Differentiate between DBMS and Data Warehouse.

6. Explain the distributed and virtual data warehouse.

7. Explain the data cube with example.

8. What are the data warehouse back end tools? Explain.

9. Explain the data mining tasks performed on a text database.

10. Define the spatial database and its features.

11. Differentiate between OLTP and OLAP.

12. Explain the Apriori Algorithm.

13. Write short notes (Any Two)

     a) Stars

     b) HOLAP

     c) Data Specification

     d) Mining and world wide web (WWW)