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"Time Series Prediction"
Contributor II
Hi!
Currently I'm using a process in Rapid Miner to predict the closing value of a specific stock of the subsequent day.
I feed the process with untransformed data, that means: (1) Date (as ID) (2) Closing value (as Attribute (Real)).
Do you think executing a data transformation, before does make sense in this case ? If so, which one should I choose and how exactly do I implement it? ???
Best regards !
Currently I'm using a process in Rapid Miner to predict the closing value of a specific stock of the subsequent day.
I feed the process with untransformed data, that means: (1) Date (as ID) (2) Closing value (as Attribute (Real)).
Do you think executing a data transformation, before does make sense in this case ? If so, which one should I choose and how exactly do I implement it? ???
Best regards !
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Answers
This might be a good starting point.
Cheers
Sven