BSc CSIT (TU) Science Data Warehousing and Data Mining (BSc CSIT, CSC410) Question Paper 2078
This is the official BSc CSIT (TU) (Science stream) Data Warehousing and Data Mining (BSc CSIT, CSC410) question paper for 2078, 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 2078 paper is a great way to practise under real exam conditions.
Section A: Long Answer Questions
Attempt any TWO questions.
What are the advantages and disadvantages of MOLAP over ROLAP? Explain the multidimensional data model with the help of a data cube.
Explain the Apriori algorithm in detail. Discuss the limitations of the Apriori algorithm and how the FP-growth algorithm overcomes them.
Build a decision tree from a given dataset using ID3 with information gain as the attribute selection measure. Show all calculations.
Section B: Short Answer Questions
Attempt any EIGHT questions.
What is beam search? Explain.
Explain signed networks in the context of data mining.
What is a concept hierarchy? How is it generated?
Compare different classifiers (decision tree vs. Naive Bayes).
Explain the DBSCAN clustering algorithm.
What is data integration? Explain the issues involved.
Define lift and conviction in association rules.
Explain data reduction techniques.
Write short notes on text mining.