Category: Computer Science

non-trivial extraction of implicit previously unknown and potentially useful information from data

set of columns in a database table that can be used to identify each record within this table uniquely.

collection of interesting and useful patterns in a database

None of the Option is Correct

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.

it automatically maps an external signal space into a system\s internal representational space. they are useful in the performance of classification tasks.

the process of finding the right formal representation of a certain body of knowledge in order to represent it in a knowledge-based system

None of the Option is Correct

restriction that requires data in one column of a database table to the a subset of another-column

one of the defining aspects of a data warehouse

the amount of information with in data as opposed to the amount of redundancy or noise

None of the Option is Correct

the process of finding the right formal representation of a certain body of knowledge in order to represent it in a knowledge-based system

it automatically maps an external signal space into a system\s internal representational space. they are useful in the performance of classification tasks.

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.

None of the Option is Correct

the amount of information with in data as opposed to the amount of redundancy or noise.

one of the defining aspects of a data warehouse

restriction that requires data in one column of a database table to the a subset of another-column.

None of the Option is Correct

learning by generalizing from examples

the learning algorithmic analyzes the examples on a systematic basis and makes incremental adjustments to the theory that is learned

machine-learning involving different techniques

None of the Option is Correct

the learning algorithmic analyzes the examples on a systematic basis and makes incremental adjustments to the theory that is learned

machine-learning involving different techniques

learning by generalizing from examples

None of the Option is Correct

the learning algorithmic analyzes the examples on a systematic basis and makes incremental adjustments to the theory that is learned

machine-learning involving different techniques

learning by generalizing from examples

None of the Option is Correct

it automatically maps an external signal space into a system\s internal representational space. they are useful in the performance of classification tasks

the process of finding the right formal representation of a certain body of knowledge in order to represent it in a knowledge-based system

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.

None of the Option is Correct

a prediction made using an extremely simple method, such as always predicting the same output.

a table with n independent attributes can be seen as an n- dimensional space.

a class of learning algorithms that try to derive a prolog program from examples.

None of the Option is Correct