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For local patterns that change quickly, these methods are preferred 1. data driven 2. model drive 3. trend and seasonality drive 4. all of the above

User Metin
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1 Answer

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Answer:

1. data driven

Step-by-step explanation:

Data driven -

The pattern is localized ,and changes quickly , So , the approach is analysed , on the given data in the real time .

Model driven

But , in case of model driven , the pattern of the data is not fixed .

In case of seasonality and trend driven ,

in this method , there is every time a particular pattern in a fixed interval of time .

Hence , from the question , the most appropriate answer is data driven .

User Gene Loparco
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