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General MCQ for Data Mining

1. What is a KDD Process?

2. What is CRISP-DM?

3. True or False? Tests in CART are always Binary.

4. A hyperplane is a

5. What is Regression?

6. What is the type of data mining that drives the Amazon.com recommendation system?

7. In order to estimate classification performance on an entire population, you need _______

8. Support Vector Machines have an advantage over Neural Networks because SVM's are

9. What is the extraction of useful if-then rules from data based on statistical significance?

10. What is a genetic algorithm?

11. A DBMS reduces data redundancy and inconsistency by

12. What is Pig

13. What is CURL?

14. Which of these is not a step in the KDD process?

15. What is the advantage of the k-Medoids Clustering Algorithm over the k-Means Clustering (Lloyd's) Algorithm?

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