B.Sc. (Information Technology) Sem VI 2018 19 May 2018-19 BUSINESS INTELLIGENCE Question Paper - Mumbai University | munotes

Questions asked in this paper

1. Q1 Attempt of the following: 15 marks
   • a. What is business intelligence? Explain architecture of the business intelligence
   • b. different phases in development business intelligence system
   • c. What is decision support system (DSS)? What are the factors that affect the degree of success of the DSS?
   • d. Explain classification of decisions according to their nature and scope
   • e. Define system. Explain closed cycle and open cycle system with suitable example
   • f. Describe different phases in the development of a decision support systems(DSS)
2. Q2 Attempt of the following: 15 marks
   • a. What are the phases in the development of mathematical models for decision making?
   • b. Explain the divisions of mathematical models according to their characteristics,
   • c. What is data mining? List the real life applications of data mining
   • d. Explain categorical and numerical attributes with proper example
   • e. Differentiate between supervised and unsupervised learning
   • f. Explain the following normalization techniques:
   • (i) Decimal scaling
3. Q3 Attempt of the following: 15 marks
   • a. What are the criteria used to evaluate classification methods?
   • b. top-down induction of decision tree. Examine the components of the top-down induction of decision trees procedure
   • c. Write a short note on Naive Bayesian classifiers Write k-means algorithm for clustering Explain the ‘Rosenblatt perceptron’ form of neural network with diagram
   • f. Write a short note on confusion matrix
4. Q4 Attempt any three of the following: 15 marks
   • a. Write a short note on market basket analysis
   • b. is use of web mining methods? What are the different purposes of web mining?
   • c. Explain "tactical planning" optimization model for logistics planning
   • d. the Charnes—Cooper—Rhodes (CCR) model
   • e. Write a short note on efficient frontier is relational marketing? What are the data mining applications in the field of
5. Q5 Attempt of the following: 15 marks
   • a. Define knowledge management. What are data, information and knowledge?
   • b. the knowledge management system (KMS ) cycle
   • c. Describe how AI and intelligent agents support knowledge management. Relate XML to knowledge management and knowledge portals
   • d. List and explain characteristics of artificial intelligence
   • e. is knowledge engineering? Explain the process of knowledge engineering
   • f. | What are the areas for expert system applications?

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