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Data Mining Fundamentals Test
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Data Mining Fundamentals Test
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25 Questions

1. Which of the following is valid XML?
2. What is the type of data mining that drives the Amazon.com recommendation system?
3. Which of the following is not a relational database?
4. In Natural Language Processing - what is the role of a lexical analyzer?
5. The level of the model that specifies the strengths of the dependencies using some numerical scale.
6. Which industry can benefit from data mining?
7. A function used by a node in a neural net to transform input data from any domain of values into a finite range of values is known as a(n):
8. What is Dependency Modeling?
9. What is Regression?
10. The component of the Hadoop Distributed Filesystem responsible for storing metadata is called the
11. Which of these is an example of a sequential pattern relationship?
12. With which of these layers does a neural network start?
13. To increase the confidence of your state of classification performance on the entire population - you should:
14. Decision trees are able to handle missing values without using any impute transformation. True or False?
15. What is the front end layer of data mining architecture?
16. What is Interestingness?
17. Which of the following is most appropriate for finding the shortest chain of friends linking two people in a social graph who are not friends with each other?
18. Sharding refers to:
19. Which of these is NOT a common descriptions of layers?
20. Which of the following method can be used for modeling a categorical target variable?
21. A technique that classifies each record in a dataset based on a combination of the classes of the k record(s) most similar to it in a historical dataset is:
22. Which decision tree method performs multi-level splits when computing classification trees?
23. Which of these are evolutionary computational methods?
24. A hyperplane is a
25. What is Summarization?

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