Data warehousing and Data Mining BSc CSIT 2071 Question Paper 8th Semester

Tribhuvan University
Institute of Science and Technology

Bachelor Level/Fourth Year/ Eight Semester/ Science            Full Marks: 60
Computer Science and Information Technology (CSc.451)        Pass Marks: 24
(Data warehousing and Data Mining)                Time: 3 hours

Candidates are required to give their answers in their own words as far as possible.
The figures in the margin indicate full marks.

Group A

Attempt any two questions.     (2x10=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 and tools? Explain.


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


10. Define spatial database and its features.


11. Differentiate between OLTP and OLAP.


12. Explain the Apriori Algorithm.


13. Write short notes on (any two):
    1. Stars
    2. HOLAP
    3. Data specification
    4. Mining the world wide web (www)