Download JNTUA MCA 2019 May Reg-Supply 4th Sem 9F00403 Data Warehousing And Mining Question Paper

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Code: 9F00403

MCA IV Semester Supplementary Examinations May 2019

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DATA WAREHOUSING & MINING

(For 2009, 2010, 2011, 2012 (LC), 2013, 2014, 2015 & 2016 admitted batches only)

Time: 3 hours Max. Marks: 60

Answer any FIVE questions

All questions carry equal marks

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1. What are the steps involved in the process of knowledge discovery? Explain.
2. Mention the classification of data mining systems.
3. According to William H what is data warehouse? Explain the key features.
4. List and explain four different views regarding the design of a data warehouse.
5. Write BUC algorithm for the computation of sparse or iceberg cubes.

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6. Write a note on descriptive data mining.
7. Explain Apriori algorithm for discovering frequent item sets. How we can improve the efficiency of Apriori by hash based technique.
8. Why is Naive Bayesian classification called naive?! Briefly outline the major ideas of naive Bayesian classification.
9. What is clustering? Explain the requirements of clustering in data mining.
10. Describe the different text mining tasks for extracted keywords or semantic information.

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11. Write a short note on spatial mining.
12. List and explain challenging issues in data mining trends.

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