Question 1

Black boxes are

Accepted Answer

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 
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

Question 2

Case-based learning is

Accepted Answer

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 
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

Question 3

Bias is

Accepted Answer

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 
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

Question 4

Data selection is

Accepted Answer

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 
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

Question 5

A definition or a concept is------------- if it classifies any examples as coming within the concept

Accepted Answer

A) complete 
B) consistent 
C) constant 
D) none of these 
A) complete 
B) consistent 
C) constant 
D) none of these

Black boxes are

Case-based learning is

Bias is

Data selection is

A definition or a concept is------------- if it classifies any examples as coming within the concept

Data Mining, Learning, and Knowledge Engineering

Data Mining and Data Warehousing Frequently

Filters

Exam 1: Adaptive System Management and Machine Learning

Black boxes are

Case-based learning is

Bias is

Data selection is

A definition or a concept is------------- if it classifies any examples as coming within the concept

Data Mining, Learning, and Knowledge Engineering

Data Mining and Data Warehousing Frequently

Filters