Download JNTUA MCA 2018 July Reg-Supply 4th Sem 9F00403 Data Warehousing And Mining Question Paper

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Code: 9F00403

Time: 3 hours

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MCA IV Semester Regular & Supplementary Examinations May 2018
DATA WAREHOUSING & MINING
(For students admitted in 2011 (LC), 2012, 2013, 2014, 2015 & 2016 only)

Max. Marks: 60

Answer any FIVE questions

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All questions carry equal marks

1. Explain the architecture of a typical data mining system with a neat diagram.
2. Explain the process of data cleaning.
3. Explain different schemas of multi dimensional databases with neat diagrams.
4. Illustrate three-tier data warehouse architecture with neat diagram.

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5. Explain about attribute oriented induction method with example.
6. Explain the process of improving the efficiency of Apriori algorithm.
7. Explain about constrained based association mining.
8. What is Bayes’ theorem? Explain the working of naive Bayesian classifier.
9. Explain the procedure for evaluating the accuracy of a classifier or predictor.

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10. Explain about constraint based clustering analysis.
11. Explain about graph mining.
12. Explain about text mining approaches.
13. Explain about multimedia data mining.
14. Explain about statistical and visual data mining.

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15. Explain how data mining is used for intrusion detection.

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