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Data Mining Basics
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Data Mining Basics
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25 Questions

1. ________ % of KDD is about preparing data.
2. The intermediate unit in perceptron is ________.
3. Expert systems are ________.
4. The quality of output depends on ____________.
5. _______ is used to find relationship between multidimensional data.
6. The results of machine learning algorithms are always have to be checked for their _________.
7. Which of the following is a data manipulation tool
8. In data mining software that works on local workstation is used to _______.
9. A natural way to visualize the process of training a self-organizing map is called __________.
10. The term that is not associated with data cleaning process is ______.
11. Which of the following is reconciled data
12. Knowledge discovery in database refers to _____.
13. Background knowledge depends on the form of ______________.
14. Enrichment means ____.
15. ___________is a method of incremental conceptual clustering.
16. In K-nearest neighbor algorithm K stands for ________.
17. It is important to know the complexity of the _______ before developing any machine learning algorithm.
18. Which of the following is closely related to statistical significance and transparency?
19. The _________ is one of genetic operators that are used to recombine the population of genetic material.
20. _______ is an expert who analyzed the effect of using machine learning algorithm in setting up expert system.
21. Metadata is used by the end users for ______.
22. _______ is the first stage in KDD process.
23. Which of the following is an operational system
24. ________analysis divides data into groups that are meaningful, useful, or both.
25. The _____ operation is used for reducing data cube by one or more dimensions.

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