Computer science data mining, Lecture notes of Computer Science

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11. 12. 13. 14. (a) (b) (a) (b) (a) (b) (a) (b) SECTION B — (5 x 5 = 25 marks) Answer ALL questions. Describe briefly the classification of Data ‘Mining Systems. Or Explain loose coupling. Describe about data integration. Or List the steps in data transformation. Draw Star schema of a data warehouse for sales. Or Describe the three-tier data warehousing architecture. Describe Frequent pattern growth (FP-growth). Or j 7 Explain Constraint Pushing. 2 1028 15. 16. dite 18. 19. 20. nana (a) Explain Distributed data mining. Or (b) How to Choose a Data Mining System? SECTION C — (3 x 10 = 30 marks) Answer any THREE questions. Explain the architecture of a typical data mining system. Explain any one method for data cleaning. List the four different views regarding the design of a data warehouse. Describe the different criteria for categorizing frequent pattern mining. Explain the applications of data mining for financial data analysis. 3 1028