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  1. What is Data Classification?

  2. What are Classification and Prediction?

  3. What are the various Issues regarding Classification and Prediction in data mining?

  4. What are the types of statistical-based algorithms?

  5. What is a Decision Tree?

  6. What are the approaches to Tree Pruning?

  7. What are the major ideas of Bayesian Classification?

  8. What are the advantages and disadvantages of Artificial Neural Networks?

  9. What are the types of OLAP Servers?

  10. What are the Implementations of Data Warehouse?

  11. How do data warehousing and OLAP relate to data mining?

  12. What is OLAM?

  13. Difference between ROLAP, MOLAP, and HOLAP?

  14. What is the structure for On-Line Analytical Mining?

  15. What is the architecture of data mining?

  16. What are the advantages and disadvantages of data mining?

  17. What are the applications of Similarity Measures?

  18. What are Neural Networks?

  19. What is the techniques of Discretization and Concept Hierarchy Generation for Categorical Data?

  20. What is Data Cube Aggregations?
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