Download JNTUA MCA 2017 Nov Reg-Supply 4th Sem 9F00403 Data Warehousing And Mining Question Paper

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Code: 9F00403

MCA IV Semester Supplementary Examinations November/December 2017

DATA WAREHOUSING & MINING

(For students admitted in 2012, 2013, 2014 & 2015 only)

Time: 3 hours Max. Marks: 60

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Answer any FIVE questions

All questions carry equal marks

1. How are data mining systems classified? Discuss each classification with example?
2. Explain with diagrammatic illustration, the primitives for specifying a data mining task.
3. What is a multidimensional data model? Explain star schema with an example and diagrammatic illustration.

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4. With a neat diagram, describe the various stages of building a data warehouse.
5. Explain the difference between multidimensional OLAP and multi-relational OLAP.
6. What is attribute-oriented induction? Describe how this is implemented.
7. Write Pseudocode for Apriori algorithm and using the algorithm, find all frequent item sets for the following database (min. support count = 2). What is support and confidence? List of item IDs.
   
   

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   TID ITEMS
   100 134
   

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   200 2,35
   300 1,235
   400 25
   
   
   

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8. What is decision tree? Explain how classification is done using decision tree induction.
9. How will you evaluate the accuracy of a classifier?

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10. Why is outlier mining important? Briefly describe the different approaches behind statistical-based outlier, distance-based outlier detection and deviation-based outlier detection.
11. Describe the role of data mining in spatial databases.
12. Explain in detail about text mining applications.
13. Write in detail about the applications of data mining.

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