Data Warehousing and Data Mining 2069

                                                            Group-A

                                            Attempt any two questions.               (10x2=20)

1. Explain the architecture of Data mining system with block diagram.

2. Define clustering. Explain with example of the partitioning and hierarchical clustering methods.

3. Explain the architecture and implementation of data warehouse with example.

                                                               Group - B

                                      Attempt any eight Questions. (Question no. 13 is compulsory)       (8x5=40)

4. What do you mean by knowledge discovery in database (KDD)?

5. Explain the application of data warehouse and data mining.

6. Differentiate between OLAP and OLTP.

7. Explain the data mining techniques.

8. Explain the Apriori Algorithm.

9. Explain the K-Mediod Algorithm.

10. Define the spatial database and its features.

11. What is data cube? Explain with example.

12. Explain the data mining languages.

13. Write short notes (Any Two)

     a) OLAP queries

     b) Snow flakes

     c) K-mean

     d) Mining text databases