M.C.A. DEGREE EXAMINATION, NOVEMBER/DECEMBER 2017.
Third Semester
Paper I DATA MINING
2 90231AA
Time 3 Hours Max. Marks 70
SECTION — A
Answer any FIVE questions. Each question carries 6 Marks. 6 30 Marks)
1. Explain the dissimilarities between data objects.
2. Briefly describe data integration?
3. What are the Issues Regarding Classification and Prediction?
4. Discuss about hierarchical clustering.
5. Write short notes on Tree pruning.
6. Discuss data mining task primitives?
7. Differentiate between OLAP and OLTP?
8. Explain the data preprocessing steps with neat sketch.
SECTION — B
Answer one question from each unit. Each question carries 10 marks(4 10 40 Marks)
UNIT — I
9. Define data mining? List and explain the different challenges of data mining.
Or
10. What is data cleaning? Describe the approaches to fill missing values.

UNIT — II
11. What is data warehouse? Differentiate operational database system and data ware
house.
Or
12. Explain the different dimensionality reduction methods with examples.
UNIT — III
13. Discuss about Bayesian classification.
Or
14. What is an association rule mining? Describe the metrics are used to measure the
strength of an association rule mining
UNIT — IV
15. What is clustering? Explain about partitioning methods of clustering.
Or
16. Discuss about Grid based clustering methods.
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