Question

Data used in data mining should not be in its lowest level of abstraction (from which...

Data used in data mining should not be in its lowest level of abstraction (from which information and knowledge are derived).

True

False

Math   Statistics-And-Probability   
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Answer #1

Answer is : False

We know about Concept hierarchy where an attribute can classified in multilevel dimension ( e.g. high, Medium, Low)

For example Age can be classified as youth, Adult, Senior

Concept hierarchy has been utilized for Data Mining at multiple abstraction Level and Lower Abstraction level as well.

OLAP-based Data Mining is known as Multi-dimensional data mining ( Knowledge are explored) which deals with exploratory and interactive nature of data mining.

Hence Data Used in data mining should be used in its lowest level of abstraction.

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