Previous Year Very Short Questions of DWM (BCA 5th)

Dat warehousing and mining

Previous year question paper with solutions for Dat warehousing and mining

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  1. What is a Data Mart? How is a data mart different from a data warehouse?
  2. What is data cleaning? Why is it important?
  3. How AI is used in data warehousing?
  4. What are the advantages of data mining?
  5. What are the efficient methods of cube computation? Discuss any one in brief
  6. What is Attribute-oriented induction?
  7. Distinguish between classification and clustering
  8. What is Prediction? Discuss any prediction technique in brief
  9. What is OLAM? How is it different from OLAP?
  10. Define Data Visualization
  11. What is OLTP?
  12. What is Data Mining?
  13. What is clustering?
  14. Define Data cube
  15. What is the use of multi dimensional view?
  16. Discuss star schema.
  17. What is association rule?
  18. Define warehouse environment.
  19. What is drill down analysis?
  20. Define bagging.
  21. Advantage of Data Warehouse
  22. Why Data Transformation is done?
  23. What is Indexing & Querying in OLAP?
  24. Differentiate OLAP & OLTP
  25. Explain Constraint based Association Rule Mining.
  26. What are various attribute selection measures?
  27. Why Cross-Validation is done?
  28. Explain the concept of Bagging.
  29. What is classification?
  30. Importance of Data Visualization.