BSc IT Sem VI October 2025 October 2025 Business Intelligence Question Paper - Mumbai University | munotes

Questions asked in this paper

1. Q1 Attempt any three of the following: 15 marks
   • a. What is business intelligence? Describe its architecture
   • b. the various stages involved in developing a business intelligence system
   • c. What is a Decision Support System (DSS)? What factors influence the success of a
   • d. Classify decisions based on their nature and scope
   • e. Define a system. Discuss the differences between a closed-cycle and open-cycle system with relevant examples
   • f. Outline the different stages involved in developing a Decision Support System
2. Q2 Attempt any three of the following: 15 marks
   • a. Describe the main phases involved in the development of mathematical models
   • b. | What are predictive models and optimization models?
   • c. various application areas of data mining
   • d. Write brief notes on the Supervised learning and Unsupervised learning used in
   • e. What is data validation? Explain the different types of data validation
   • f. short note on the concept of data transformation
3. Q3 Attempt any three of the following: 15 marks
   • a. Describe the top-down induction technique used for constructing decision trees and outline its key elements
   • b. What are the factors or measures used to assess the performance of classification
   • c. Provide a concise overview of Naive Bayes classifiers
   • d. Define clustering and discuss various approaches used for clustering data
   • e. Explain the K-means clustering algorithm, detailing the steps involved and illustrating with an example
   • f. Briefly explain what a confusion matrix is and its role in evaluating classification
4. Q4 Attempt any three of the following: 15 marks
   • a. Define relational marketing and discuss its goals and driving factors
   • b. is the Use of Web Mining Techniques? What Are Its Various Objectives?
   • c. the concept of Market Basket Analysis
   • d. Describe in details optimization models for logistics planning
   • e. Briefly describe the idea behind supply chain optimization
   • f. Explain the CCR model
5. Q5 Attempt any three of the following: 15 marks
   • a. the cycle of a Knowledge Management System (KMS)
   • b. and describe the features of Artificial Intelligence (Al)
   • c. Define Knowledge Engineering. Describe the steps involved in the knowledge
   • d. Discuss the contribution of people in Knowledge Management Discuss practical uses of expert systems across industries
   • f. Differentiate between Artificial Intelligence (AI) and Natural Intelligence

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