A Collection of DATA Mining Interview Questions

52 Best  DATA Mining Interview Questions
1. What is ODS?
2. Define Filefactor.
3. What is Indexing?
4. What is the Naive Bayes Algorithm?
5. Explain the types of built-in functions.
6. State diff between clustered and non-clustered indexing.
7. Explain the workings of the A-Priori Algorithm.
8. Advantages of data mining.
9. What is smoothing.
10. What is constraint-based data mining?
11. How is data mining used in health care analysis?
12. What is apriori algorithm?
13. Define the Genetic Algorithm.
14. What is attribute selection measures?
15. What is a decision tree?
16. What is metrological data and data visualization?
17. List out drawbacks of data mining.
18. Can you start data mining before you have your data?
19. Disadvantages of indexes?
20. Define Binary Variables, and types of Binary Variables?
21. What is A-priori?
22. Explain types of data mining.
23. Bring out difference between Data Warehouse and database.
24. Define pattern?
25. Write a note on various types of detected pattern and VLDB?
26. Where is data kept?
27. Explain Layers of Data Mining
28. What is descriptive Model?
29. What are non-additive Facts?
30. What is Regression?
31. What is Time series Analysis?
32. Define Star Schema and snow flake schema?
33. Define Indexing, why it is used?
34. Define KDD and its Steps of working.
35. Write a note on Nave Bayes Algorithm.
36. Text mining and data purging.
37. Define Rollup and cube?
38. What is OLAP and OLTP?
39. Define Data Occurrence.
40. How to know when data is to be Rebuilt?
41. DATA mining Query language, DMX Explain.
42. Define ETL?
43. What is Anti-Monotone Property?
44. What is Real-time Data warehousing?
45. Define Ice-berg Query?
46. What are multidimensional association rules?
47. Describe Tree pruning methods?
48. What is CURE?
49. Define Chameleon method?
50. How the PCY Algorithm works?
51. What is a DBSCAN?
52. What is a STING?

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