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  1. How are the exception values computed?

  2. What is the types of constraints in multidimensional gradient analysis?

  3. What are the methods for Data Generalization and Concept Description?

  4. What is AOI?

  5. What are the rules of Attribute Generalization?

  6. How is class comparison performed?

  7. What are the criteria of frequent pattern mining?

  8. What is Apriori Algorithm?

  9. What are the applications of web mining?

  10. What are the primitives of spatial data mining?

  11. What are the clustering methods for spatial data mining?

  12. What is the Temporal Data Mining?

  13. What is trend analysis?

  14. How can we find a good subset of the original attributes?

  15. How can this technique be useful for data reduction if the wavelet transformed data are of the same length as the original data?

  16. What is Entropy-Based Discretization?

  17. How are measures computed in data mining?

  18. What can business analysts gain from having a data warehouse?

  19. What is data warehouse tuning?

  20. What are the strategy of backup and recovery in data warehouses?
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