Classical

Data Mining - Data Mining MCQ

31:  

Information content is

A.

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

B.

One of the defining aspects of a data warehouse

C.

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

D.

None of these

 
 

Option: A

Explanation :


32:  

Inductive learning is

A.

Machine-learning involving different techniques

B.

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

C.

Learning by generalizing from examples

D.

None of these

 
 

Option: C

Explanation :


33:  

Inclusion dependencies

A.

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

B.

One of the defining aspects of a data warehouse

C.

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

D.

None of these

 
 

Option: C

Explanation :


34:  

KDD (Knowledge Discovery in Databases) is referred to

A.

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

B.

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

C.

collection of interesting and useful patterns in a database

D.

none of these

 
 

Option: A

Explanation :


35:  

Learning is

A.

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

B.

It automatically maps an external signal space into a system's internal representational space. They are useful in the performance of classification tasks.

C.

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.

D.

None of these

 
 

Option: C

Explanation :




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