BSc CSIT (TU) Science Data Warehousing and Data Mining (BSc CSIT, CSC410) Question Paper 2080
This is the official BSc CSIT (TU) (Science stream) Data Warehousing and Data Mining (BSc CSIT, CSC410) question paper for 2080, 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 2080 paper is a great way to practise under real exam conditions.
Section A: Long Answer Questions
Attempt any TWO questions.
Explain the data warehouse architecture and the ETL process in detail. Discuss the role of metadata in a data warehouse.
Explain the FP-growth algorithm. Construct the FP-tree for a given transaction dataset and mine the frequent patterns.
What is cluster analysis? Compare partitioning, hierarchical, and density-based clustering methods with examples.
Section B: Short Answer Questions
Attempt any EIGHT questions.
What are the characteristics of a data warehouse (subject-oriented, integrated, time-variant, non-volatile)?
Explain the concept of data cube and aggregation.
What is a frequent itemset? Explain with an example.
Explain the Gini index as a splitting criterion.
What is the agglomerative approach in hierarchical clustering?
Explain the issues in data quality.
Differentiate between eager and lazy learners.
What is the support count and minimum support threshold?
Write short notes on temporal data mining.