Data Mining Quiz | Data Mining Question and Answer for Practice

31. Which multiprocessing machines share same hard disk and internal memory.

1. Massively parallel.
2. Symmetric.
3. Parallel.
4. Asymmetric.

32. Which is the relationship between compressibility and learnability.

1. Maximum description length principle.
2. Minimum description length principle.
3. Kolmogorov complexity.
4. Voronoi principle.

33. A trivial result that is obtained by an extremely simple method is called

1. naive prediction.
2. accurate prediction.
3. correct prediction.
4. wrong prediction.

34. The algorithm that need to access a table several times during execution is

1. n-table scan algorithm.
2. zoom scan algorithm.
3. hybrid algorithm.
4. nearest neighbor search.

35. In K-nearest neighbor algorithm K stands for

1. number of neighbors that are investigated.
2. number of iterations.
3. number of total records.
4. random number.

36. Which one of the following is not a part of empirical cycle in scientific research?

1. Observation
2. Theory.
3. Self learning.
4. Prediction.

37. OLAP stands for

1. Online Analytical Processing.
2. Online Linear Analytical Processing.
3. Online Animated Process.
4. Online Analytical Problem.

38. The intermediate unit in perceptron is

1. photoreceptors.
2. associators.
3. responders.
4. receptors.

39. What is a planning optimization application written for KLM

1. PILOTS.
2. CAPTAINS.
3. CUSTOMERS.
4. AIRLINES.

40. The set of attribute in a database that refers to data in another table is called

1. primary key.
2. candidate key.
3. foreign key.
4. super key.

41. Translation of problem to learning technique is called as

1. reengineering.
2. translational engineering.
3. representational engineering.
4. learning algorithm.

42. In KDD and data mining, noise is referred to as

1. repeated data.
2. complex data.
3. meta data.
4. random errors in database.

43. What is used to load the information from operational database.

1. Replication technique.
2. Reengineering technique.
3. Engineering technique.
4. Transformation engineering.

44. Hidden knowledge can be found by using

1. searching algorithm.
2. pattern recognition algorithm.
3. searching algorithm.
4. clues.

45. What is the heart of knowledge discovery in database process.

1. Selection.
2. Data ware house.
3. Data mining.
4. Creative coding.