Data Mining MCQ Quiz - Multiple Choice Questions & Answers Page 3

21. EIS stands for

1. Executive Information System.
2. Exchange of Information System.
3. Extra Information System.
4. Extended Information system.

22. A coding operation in which an attribute with cardinality n is replaced by n binary attributes is called as

1. falsification of table.
2. enrichment of table.
3. flattening of table.
4. fuzzification of table.

23. What is one of the genetic operators that are used to recombine the population of genetic material.

1. genetic operator.
2. mutation operator.
3. cross over operator.
4. encoding operator.

24. A database containing volatile data used for daily operation of an organization is

1. historic data.
2. metadata.
3. knowledge.
4. operational data.

25. The technique of learning by generalizing from examples is

1. incremental learning.
2. inductive learning.
3. hybrid learning.
4. generalized learning.

26. Genetic algorithm was proposed by

1. John Holland.
2. Johnson.
3. Watson.
4. Kohenon.

27. Which is the technique which is used for discovering patterns in dataset at the beginning of data mining process.

1. Kohenon map.
2. Visualization.
3. OLAP.
4. SQL.

28. A natural way to visualize the process of training a self-organizing map is called

1. kohonen movie.
2. kohonen map.
3. frame.
4. scatter diagram.

29. K-nearest neighbor is one of the

1. learning technique.
2. OLAP tool.
3. purest search technique.
4. data warehousing tool.

30. The complexity of data mining algorithm is represented by

1. log n.
2. 2n log n.
3. n log n.
4. 2 log n.