Data Mining Short Questions



1.    Describe heterogeneous and legacy database?
2.    Describe about Object-oriented databases?
3.    Describe about object-relational databases?
4.    Describe about transactional database?
5.    What is cluster Analysis?
6.    What is Outlier Analysis?
7.    What is Association analysis?
8.    What is the difference between a data warehouse and data mart?
9.    What kind of data mining can be performed on spatial databases?
10. Describe how correlation coefficient is computed?
11. What is data reduction? What is dimensionality reduction?
12. Describe snowflake and fact constellations.
13. What is classification? Describe the need for classification.
14. Define a FP-Tree.
15. Write a note on hierarchical clustering?
16. What is data cleaning?
17. Describe holdout method?
18. What is a data warehouse?
19. What is Classification? Describe the need for classification
20. Define Apriory property?
21. How is the Apriori property used in the algorithm?
22. Distinguish between classification and clustering?
23. Briefly describe about the need of data warehousing?
24. What is data integration?
25. Describe different types of OLAP servers?
26. Describe random sub sampling?
27. Define a frequent set?
28. Describe different types of clustering?
29. Why use support and confidence?

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