B.Sc. (Information Technology) Sem VI October 2025 Business Intelligence Question Paper - Mumbai University | munotes

Questions asked in this paper

SECTION I - 1. (Attempt any three of the following) 15 Marks

1. a. What is business intelligence? Describe its architecture.
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2. b. Describe the various stages involved in developing a business intelligence system.
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3. c. What is a Decision Support System (DSS)? What factors influence the success of a Decision Support System (DSS)?
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4. d. Classify decisions based on their nature and scope.
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5. e. Define a system. Discuss the differences between a closed-cycle and open-cycle system with relevant examples.
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6. f. Outline the different stages involved in developing a Decision Support System (DSS).
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SECTION II - 2. (Attempt any three of the following) 15 Marks

1. a. Describe the main phases involved in the development of mathematical models.
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2. b. What are predictive models and optimization models?
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3. c. Discuss various application areas of data mining.
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4. d. Write brief notes on the Supervised learning and Unsupervised learning used in data mining
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5. e. What is data validation? Explain the different types of data validation.
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6. f. Write a short note on the concept of data transformation.
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SECTION III - 3. (Attempt any three of the following) 15 Marks

1. a. Describe the top-down induction technique used for constructing decision trees and outline its key elements.
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2. b. What are the factors or measures used to assess the performance of classification algorithms?
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3. c. Provide a concise overview of Naive Bayes classifiers.
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4. d. Define clustering and discuss various approaches used for clustering data.
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5. e. Explain the K-means clustering algorithm, detailing the steps involved and illustrating with an example.
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6. f. Briefly explain what a confusion matrix is and its role in evaluating classification results.
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SECTION IV - 4. (Attempt any three of the following) 15 Marks

1. a. Define relational marketing and discuss its goals and driving factors.
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2. b. What is the Use of Web Mining Techniques? What Are Its Various Objectives?
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3. c. Explain the concept of Market Basket Analysis .
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4. d. Describe in details optimization models for logistics planning
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5. e. Briefly describe the idea behind supply chain optimization.
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6. f. Explain the CCR model.
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SECTION V - 5. (Attempt any three of the following) 15 Marks

1. a. Explain the cycle of a Knowledge Management System (KMS).
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2. b. List and describe the features of Artificial Intelligence (AI).
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3. c. Define Knowledge Engineering. Describe the steps involved in the knowledge engineering process.
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4. d. Discuss the contribution of people in Knowledge Management.
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5. e. Discuss practical uses of expert systems across industries.
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6. f. Differentiate between Artificial Intelligence (AI) and Natural Intelligence.
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