Classical

Data Mining - Data Mining MCQ

36:  

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

 
 

Option: A

Explanation :

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37:  

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

 
 

Option: B

Explanation :

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38:  

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

 
 

Option: C

Explanation :

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39:  

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

 
 

Option: A

Explanation :

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40:  

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 data

D.

None of these

 
 

Option: B

Explanation :

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