Data Mining Set 1

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

A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory. ✘ Any mechanism employed by a learning system to constrain the search space of a hypothesis ✘ 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. ✘ None of these ✔

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

A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory ✘ Any mechanism employed by a learning system to constrain the search space of a hypothesis ✘ 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. ✘ None of these ✔

Additional acquaintance used by a learning algorithm to facilitate the learning process ✘ A neural network that makes use of a hidden layer ✘ It is a form of automatic learning. ✘ None of these ✔

A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory. ✘ Any mechanism employed by a learning system to constrain the search space of a hypothesis ✘ 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. ✘ None of these ✔

A subdivision of a set of examples into a number of classes ✘ A measure of the accuracy, of the classification of a concept that is given by a certain theory ✘ The task of assigning a classification to a set of examples ✘ None of these ✔

This takes only two values. In general, these values will be 0 and 1 and .they can be coded as one bit ✘ The natural environment of a certain species ✘ Systems that can be used without knowledge of internal operations ✘ None of these ✔

A subdivision of a set of examples into a number of classes ✘ Measure of the accuracy, of the classification of a concept that is given by a certain theory ✘ The task of assigning a classification to a set of examples ✘ None of these ✔

Group of similar objects that differ significantly from other objects ✘ Operations on a database to transform or simplify data in order to prepare it for a machine-learning algorithm ✘ Symbolic representation of facts or ideas from which information can potentially be extracted ✘ None of these ✔