BSc CSIT (TU) Science Data Warehousing and Data Mining (BSc CSIT, CSC410) Question Paper 2075
This is the official BSc CSIT (TU) (Science stream) Data Warehousing and Data Mining (BSc CSIT, CSC410) question paper for 2075, 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 2075 paper is a great way to practise under real exam conditions.
Section A: Long Answer Questions
Attempt any TWO questions.
Explain the architecture of a data warehouse. Differentiate between MOLAP, ROLAP, and HOLAP.
Explain the FP-growth algorithm for frequent pattern mining with an example. How does it improve upon Apriori?
What is classification? Explain the ID3 decision tree algorithm and build a decision tree for a given training dataset.
Section B: Short Answer Questions
Attempt any EIGHT questions.
What is a data mart? How does it differ from a data warehouse?
Explain the snowflake schema with an example.
Define support and confidence in association rule mining.
What is data cleaning? Explain methods to handle missing values.
Explain the working of the Naive Bayes classifier.
What is the difference between supervised and unsupervised learning?
Explain hierarchical clustering briefly.
What is a fact table and a dimension table?
Write short notes on metadata in data warehousing.