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 |