Curse of Dimensionality

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Description

The curse of dimensionality refers to when there is too much data (attributes/columns or rows), it is easier to build a model that fits the sample data but is worthless as a predictor

Concept Prerequisite

Wikipedia Reference

http://en.wikipedia.org/wiki/Curse of dimensionality

Learning Material

Covered in Topic(s)

 
Business Intelligence and IS for Decision Making
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