BSc CSIT (TU) Science Data Warehousing and Data Mining (BSc CSIT, CSC410) Question Paper 2074
This is the official BSc CSIT (TU) (Science stream) Data Warehousing and Data Mining (BSc CSIT, CSC410) question paper for 2074, as set in the regular annual examination. It carries 60 full marks and a time allowance of 180 minutes, across 12 questions. On Kekkei you can attempt this Data Warehousing and Data Mining (BSc CSIT, CSC410) past paper online with a timer, get instant AI feedback and step-by-step solutions, and track the topics where you lose marks — completely free. Whether you are revising for your BSc CSIT (TU) Data Warehousing and Data Mining (BSc CSIT, CSC410) exam or solving previous years' question papers, this 2074 paper is a great way to practise under real exam conditions.
Section A: Long Answer Questions
Attempt any TWO questions.
What is a data warehouse? Explain its characteristics. Describe the three-tier data warehouse architecture with a suitable diagram.
What is association rule mining? Explain the Apriori algorithm with an example and discuss its limitations.
Explain the K-means clustering algorithm. Apply it on a sample dataset to form two clusters and show the iterations.
Section B: Short Answer Questions
Attempt any EIGHT questions.
Define data mining and list its major applications.
Differentiate between OLTP and OLAP.
What is a concept hierarchy? Explain with an example.
Explain the different OLAP operations (roll-up, drill-down, slice, dice).
What is data preprocessing? Why is it necessary?
Explain the steps in the KDD process.
What is a decision tree? How is it used for classification?
Differentiate between classification and clustering.
Write short notes on the star schema.