Top 350+ Solved Data Mining and Data Warehouse MCQ Questions Answer
Q. Knowledge engineering is
a. The process of finding the right formal representation of a certain body of knowledge in order to represent it in a knowledge-based system
b. It automatically maps an external signal space into a system’s internal representational space. They are useful in the performance of classification tasks.
c. A process where an individual learns how to carry out a certain task when making a transition from a situation in which the task cannot be carried out to a situation in which the same task under the same circumstances can be carried out.
d. None of these
Q. Kohonen self-organizing map referred to
a. The process of finding the right formal representation of a certain body of knowledge in order to represent it in a knowledge-based system
b. It automatically maps an external signal space into a system’s internal representational space. They are useful in the performance of classification tasks
c. A process where an individual learns how to carry out a certain task when making a transition from a situation in which the task cannot be carried out to a situation in which the same task under the same circumstances can be carried out.
d. None of these
Q. Learning is
a. The process of finding the right formal representation of a certain body of knowledge in order to represent it in a knowledge-based system
b. It automatically maps an external signal space into a system’s internal representational space. They are useful in the performance of classification tasks.
c. A process where an individual learns how to carry out a certain task when making a transition from a situation in which the task cannot be carried out to a situation in which the same task under the same circumstances can be carried out.
d. None of these
Q. Learning algorithm referrers to
a. An algorithm that can learn
b. A sub-discipline of computer science that deals with the design and implementation of learning algorithms.
c. A machine-learning approach that abstracts from the actual strategy of an individual algorithm and can therefore be applied to any other form of machine learning.
d. None of these
Q. Meta-learning is
a. An algorithm that can learn
b. A sub-discipline of computer science that deals with the design and implementation of learning algorithms.
c. A machine-learning approach that abstracts from the actual strategy of an individual algorithm and can therefore be applied to any other form of machine learning.
d. None of these
Q. Machine learning is
a. An algorithm that can learn
b. A sub-discipline of computer science that deals with the design and implementation of learning algorithms.
c. An approach that abstracts from the actual strategy of an individual algorithm and can therefore be applied to any other form of machine learning.
d. None of these
Q. Inductive logic programming is
a. A class of learning algorithms that try to derive a Prolog program from examples*
b. A table with n independent attributes can be seen as an n- dimensional space.
c. A prediction made using an extremely simple method, such as always predicting the same output.
d. None of these
Q. Multi-dimensional knowledge is
a. A class of learning algorithms that try to derive a Prolog program from examples
b. A table with n independent attributes can be seen as an n- dimensional space
c. A prediction made using an extremely simple method, such as always predicting the same output.
d. None of these
Q. Naive prediction is
a. A class of learning algorithms that try to derive a Prolog program from examples
b. A table with n independent attributes can be seen as an n- dimensional space.
c. A prediction made using an extremely simple method, such as always predicting the same output.
d. None of these
Q. Knowledge is referred to
a. Non-trivial extraction of implicit previously unknown and potentially useful information from dat(A)
b. Set of columns in a database table that can be used to identify each record within this table uniquely.
c. collection of interesting and useful patterns in a database
d. none of these
Q. Node is
a. A component of a network
b. In the context of KDD and data mining, this refers to random errors in a database table.
c. One of the defining aspects of a data warehouse
d. None of these
Q. Projection pursuit is
a. The result of the application of a theory or a rule in a specific case
b. One of several possible enters within a database table that is chosen by the designer as the primary means of accessing the data in the table.
c. Discipline in statistics that studies ways to find the most interesting projections of multi-dimensional spaces
d. None of these
Q. Statistical significance is
a. The science of collecting, organizing, and applying numerical facts
b. Measure of the probability that a certain hypothesis is incorrect given certain observations.
c. One of the defining aspects of a data warehouse, which is specially built around all the existing applications of the operational dat(A)
d. None of these
Q. Prediction is
a. The result of the application of a theory or a rule in a specific case
b. One of several possible enters within a database table that is chosen by the designer as the primary means of accessing the data in the table.
c. Discipline in statistics that studies ways to find the most interesting projections of multi-dimensional spaces.
d. None of these
Q. Primary key is
a. The result of the application of a theory or a rule in a specific case
b. One of several possible enters within a database table that is chosen by the designer as the primary means of accessing the data in the table
c. Discipline in statistics that studies ways to find the most interesting projections of multi-dimensional spaces.
d. None of these