Classical

Data Mining - Data Mining MCQ

41:  

Multi-dimensional knowledge 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: B

Explanation :

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42:  

Prediction 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: A

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43:  

Query tools are

A.

A reference to the speed of an algorithm, which is quadratically dependent on the size of the data

B.

Attributes of a database table that can take only numerical values.

C.

Tools designed to query a database.

D.

None of these

 
 

Option: C

Explanation :

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44:  

Operational database is

A.

A measure of the desired maximal complexity of data mining algorithms

B.

A database containing volatile data used for the daily operation of an organization

C.

Relational database management system

D.

None of these

 
 

Option: B

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45:  

Noise 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: B

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