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)
- What do you mean by representative object based clustering technique? Explain in detail with example.
- Explain the various data mining task primitives in detail.
- Explain the architecture of data mining system with schematic diagram.
- What are the basic stages of KDD?
- Differentiate between DBMS and data warehouse.
- Explain the distributed and virtual data warehouse.
- Explain the data cube with example.
- What are the data warehouse back and tools? Explain.
- Explain the data mining tasks performed on a text database.
- Define spatial database and its features.
- Differentiate between OLTP and OLAP.
- Explain the Apriori Algorithm.
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Write short notes on (any two):
- Stars
- HOLAP
- Data specification
- Mining the world wide web (www)
Group B
Attempt any eight questions. (8x5=40)