Programming
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  1. What is Association rule learning?

  2. What is the task of mining frequent itemsets difficult?

  3. What is ETL?

  4. What is ELT?

  5. What is the difference between ETL and ELT?

  6. What is Business Intelligence?

  7. What is the difference between Descriptive and Predictive Data Mining?

  8. What is the difference between Spatial and Temporal Data Mining?

  9. What is the difference between concept description in a large database and OLAP?

  10. What is the working of Association Rule?

  11. What is an Agglomerative Clustering Algorithm?

  12. What is the example of data generalization and analytical generalization?

  13. How to discriminate between different classes?

  14. Why analytical characterization and attribute relevance analysis are needed and how these can be performed?

  15. What are statistical measures in large databases?

  16. What are the types of the partitional algorithm?

  17. What are the examples of Unsupervised Learning?

  18. What is STING grid-based clustering?

  19. What is Evolutionary technologies?

  20. What are the elements of MBR?
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