Explain each of the following problems of real-world data mining the problems they present to Business Intelligence.
Data is dirty
Values are missing or outside of ranges
Time values make no sense
Add parameters as knowledge gained, forcing reprocessing
Over fitting data to a model
Results based on probabilities, not certainty
Seasonality problems
Values are missing or outside of ranges
Time values make no sense
Add parameters as knowledge gained, forcing reprocessing
Over fitting data to a model
Results based on probabilities, not certainty
Seasonality problems
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