Tuesday 1 September 2015

Data Mining Objective type Questions and Answers

11) Which is the right approach of Data Mining?
 
  A. Infrastructure, exploration, analysis, interpretation, exploitation
  B. Infrastructure, exploration, analysis, exploitation, interpretation
  C. Infrastructure, analysis, exploration, interpretation, exploitation
  D. Infrastructure, analysis, exploration, exploitation, interpretation
Ans: A

12)  Which of the following issue is considered before investing in Data Mining?
A. Functionality
  B. Vendor consideration
  C. Compatibility
  D. All of the above
Ans: D

13.  Adaptive system management is 
A. It uses machine-learning techniques. Here program can learn from past experience and adapt themselves to new situations
B. Computational procedure that takes some value as input and produces some value as output.
C. Science of making machines performs tasks that would require intelligence when performed by humans
D. none of these
Ans: A

14. Bayesian classifiers is 
A. A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory.
B.  Any mechanism employed by a learning system to constrain the search space of a hypothesis
C.  An approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation.
D. None of these
Ans: A

15. Algorithm is 
A. It uses machine-learning techniques. Here program can learn from past experience and adapt themselves to new situations
B. Computational procedure that takes some value as input and produces some value as output
C. Science of making machines performs tasks that would require intelligence when performed by humans
D. None of these
Ans: B

16. Bias is 
A.A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory
B. Any mechanism employed by a learning system to constrain the search space of a hypothesis
C. An approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation.
D. None of these
Ans: B

17. Background knowledge referred to 
A.  Additional acquaintance used by a learning algorithm to facilitate the learning process
B. A neural network that makes use of a hidden layer
C. It is a form of automatic learning.
D. None of these
Ans: A

18. Case-based learning is 
A. A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory.
B. Any mechanism employed by a learning system to constrain the search space of a hypothesis
c. An approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation.
D. None of these
Ans: C

19. Classification is 
A. A subdivision of a set of examples into a number of classes
B. A measure of the accuracy, of the classification of a concept that is given by a certain theory
C. The task of assigning a classification to a set of examples
D. None of these
Ans: A

20. Binary attribute are 
A. This takes only two values. In general, these values will be 0 and 1 and .they can be coded as one bit
B. The natural environment of a certain species
C. Systems that can be used without knowledge of internal operations
D. None of these
Ans: A

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