the distance between two points as calculated using the pythagoras theorem.

the process of finding a solution for a problem simply by enumerating all possible solutions according to some pre-defined order and then testing them

a stage of the kdd process in which new data is added to the existing selection

None of the Option is Correct

the process of executing implicit previously unknown and potentially useful information from data.

it is hidden within a database and can only be recovered if one is given certain clues (an example is encrypted information).

an extremely complex molecule that occurs in human chromosomes and that carries genetic information in the form of genes.

None of the Option is Correct

combining different types of method or information

approach to the design of learning algorithms that is structured along the lines of the theory of evolution.

decision support systems that contain an information base filled with the knowledge of an expert formulated in terms of if-then rules.

None of the Option is Correct

an extremely complex molecule that occurs in human chromosomes and that carries genetic information in the form of genes.

the process of executing implicit previously unknown and potentially useful information from data

it is hidden within a database and can only be recovered if one ,is given certain clues (an example is encrypted information).

None of the Option is Correct

the stage of selecting the right data for a kdd process

the actual discovery phase of a knowledge discovery process

a subject-oriented integrated time variant non-volatile collection of data in support of management

None of the Option is Correct

consistent

complete

constant

None of the Option is Correct

complete

consistent

constant

None of the Option is Correct

systems that can be used without knowledge of internal operations

the natural environment of a certain species

this takes only two values. in general, these values will be 0 and 1 and they can be coded as one bit.

None of the Option is Correct

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 the Option is Correct

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 the Option is Correct