DBM301 – Full: Questions With Complete Answers
Data Mining
Multiple Choice Question & Answers:-
1) 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 Right Ans - A
2) 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 Right Ans - A
3) 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 Right Ans - B
4) 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
referenceto familiar experiences, adapting the explanations to fit the new
situation.
D) None of these Right Ans - B
5) 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 Right Ans - A
6) 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 Right Ans - C
7) 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 thatisgiven by a
certain theory.
C) The task of assigning a classification to a set of examples
D) None of these Right Ans - A
8) 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 Right Ans - A
9) Classification accuracy is
, A) A subdivision of a set of examples into a number of classes
B) 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 Right Ans - B
10) Biotope 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 Right Ans - B
11) Cluster is
A) Group of similar objects that differ significantly from other objects
B) Operations on a database to transform or simplify data in order to prepare
it for a machine-learning algorithm
C) Symbolic representation of facts or ideas from which information can
potentially be extracted
D) None of these Right Ans - A
12) Black boxes 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 Right Ans - C
13) A definition of a concept is-----if it recognizes all the instances of that
concept
A) Complete
B) Consistent
C) Constant
D) None of these Right Ans - A
14) Data mining is
A) The actual discovery phase of a knowledge discovery process
B) The stage of selecting the right data for a KDD process
Data Mining
Multiple Choice Question & Answers:-
1) 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 Right Ans - A
2) 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 Right Ans - A
3) 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 Right Ans - B
4) 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
referenceto familiar experiences, adapting the explanations to fit the new
situation.
D) None of these Right Ans - B
5) 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 Right Ans - A
6) 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 Right Ans - C
7) 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 thatisgiven by a
certain theory.
C) The task of assigning a classification to a set of examples
D) None of these Right Ans - A
8) 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 Right Ans - A
9) Classification accuracy is
, A) A subdivision of a set of examples into a number of classes
B) 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 Right Ans - B
10) Biotope 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 Right Ans - B
11) Cluster is
A) Group of similar objects that differ significantly from other objects
B) Operations on a database to transform or simplify data in order to prepare
it for a machine-learning algorithm
C) Symbolic representation of facts or ideas from which information can
potentially be extracted
D) None of these Right Ans - A
12) Black boxes 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 Right Ans - C
13) A definition of a concept is-----if it recognizes all the instances of that
concept
A) Complete
B) Consistent
C) Constant
D) None of these Right Ans - A
14) Data mining is
A) The actual discovery phase of a knowledge discovery process
B) The stage of selecting the right data for a KDD process
