Data Warehousing and Data Mining 2073

                                            Group-A

                            Attempt any two questions.                                         (10 x 2 = 20)                                        

1. Differentiate between Data-Warehouse and Data-mining..

2. Explain the DBMS vs. Data Warehouse.

3. Explain the K-mean and K-Mediod Algorithm with example.

                                          Group-B

                           Attempt any eight questions.                    (8x5=40)

4. Differentiate between Data marks and Meta data.

5. What do you mean by virtual data warehouse.

6. Explain the tuning and testing of Data Warehouse.

7. Differentiate between KDD and Data Mining.

8. Explain the data mining query language.

9. Explain the Aprion Algorithm.

10. Explain the types of Regression.

11. Explain the association rules with advantages and disadvantages.

12. Explain mining text databases.

13. Write short notes (Any Two)

     a) Data cubes

     b) HOLAP

     c) Spatial Database