Data Mining Basics
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Data Mining Basics
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25 Questions

1. A ________ is necessary condition for KDDs effective implement.
2. KDD consists of ______ stages.
3. The system that can be used without knowledge of internal operation _______.
4. What is true about the multidimensional model
5. ______ built perceptron.
6. A/An_____ is an object oriented 3D tool kit which enables the user to explore 3D structure.
7. It is important to know the complexity of the _______ before developing any machine learning algorithm.
8. _______ is a type of coding operation that occurs frequently in KDD context.
9. Translation of problem to learning technique is called as _______.
10. Data mining methodology states that in optimal situation data mining is an _____.
11. Which of the following is reconciled data
12. In K- nearest neighbor the input is translated to __________.
13. Which of the following function involves data cleaning, data standardizing and summarizing
14. Which of the following statements is not true about refreshing a data warehouse
15. _____________ is the application of data mining techniques to discover patterns from the Web.
16. The algorithms that are controlled by human during their execution is _______ algorithm.
17. The element that is not taken into consideration for cost justification for the implementation of KDD environment is _______.
18. The type of relationship in star schema is ____________.
19. ___________ is a knowledge discovery process.
20. Deep knowledge can be found only by using ________.
21. A decision support system is a system that ________.
22. Which of the following is an EIS
23. The input unit of perceptron is called as_______.
24. A _____ algorithm takes all the data at once and tries to create a hypothesis based on this data.
25. Business Intelligence and data warehousing is used for which of the following