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  1. What are the techniques for Mining Negative Patterns?

  2. What are the techniques based on Support Expectations?

  3. What are the examples of clustering in data mining?

  4. What Is Cluster Analysis?

  5. What are the types of Clustering in data mining?

  6. What are the types of clusters in data mining?

  7. What is K-means clustering?

  8. What are the additional issues of K-Means Algorithm in data mining?

  9. What are the methods for constructing an Ensemble Classifier?

  10. What are Random Forests?

  11. What is the ROC?

  12. What are Sampling-Based Approaches?

  13. Why use Support and Confidence in data mining?

  14. What is Support Counting?

  15. What is the complexity of the Apriori Algorithm?

  16. What are Maximal Frequent Itemsets?

  17. What are the methods for generating frequent itemsets?

  18. What are the representation of FP-Tree?

  19. What is RIPPER Algorithm?

  20. What are the characteristics of Nearest-Neighbor Classifiers?
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