Example for Predicting Time Series

- Simple means just raw data: no seasonality correction, stationarity assumption
- Auto means usage of past of the same time series for prediction. No other exogenous time series/data used.
- Regressive refers to the model: either a linear or a polynomial regression

Example for Predicting Time Series

 

Resources

EXAMPLES Server: 04_Analytics/07_Time_Series/02_Example_for_Predicting_Time_Series04_Analytics/07_Time_Series/02_Example_for_Predicting_Time_Series*
Download a zip-archive

 

 


* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually