Classification in Data Mining Quiz | Classification in Data Mining Objective Type Questions and Answers

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Questions
21 which of the following is not involve in data mining?
A Knowledge extraction
B Data archaeology
C Data exploration
D Data transformation

Answer: Data transformation
22 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

Answer: Infrastructure, exploration, analysis, interpretation, exploitation
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23 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

Answer: It uses machine-learning techniques. Here program can learn from past experience and adapt themselves to new situations
24 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

Answer: A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory
25 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

Answer: Computational procedure that takes some value as input and produces some value as output
26 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

Answer: Additional acquaintance used by a learning algorithm to facilitate the learning process
27 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

Answer: The natural environment of a certain species
28 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

Answer: Group of similar objects that differ significantly from other objects
29 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

Answer: Complete
30 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
C A subject-oriented integrated time variant non-volatile collection of data in support of management
D None of these

Answer: The actual discovery phase of a knowledge discovery process
31 A definition or a concept is if it classifies any examples as coming within the concept
A Complete
B Consistent
C Constant
D None of these

Answer: Consistent
32 Data independence means
A Data is defined separately and not included in programs
B Programs are not dependent on the physical attributes of data
C Programs are not dependent on the logical attributes of data
D Both (B) and (C)

Answer: Both (B) and (C)
33 E-R model uses this symbol to represent weak entity set?
A Dotted rectangle
B Diamond
C Doubly outlined rectangle
D None of the above

Answer: Doubly outlined rectangle
34 SET concept is used in
A Network Model
B Hierarchical Model
C Relational Model
D None of these

Answer: None of these
35 Relational Algebra is
A Data Definition Language
B Meta Language
C Procedural query Language
D None of the above

Answer: Procedural query Language
36 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 the above

Answer: Any mechanism employed by a learning system to constrain the search space of a hypothesis
37 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

Answer: 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
38 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

Answer: A subdivision of a set of examples into a number of classes
39 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

Answer: Measure of the accuracy, of the classification of a concept that is given by a certain theory
40 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

Answer: Systems that can be used without knowledge of internal operations

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