Final note
This chapter finishes the introduction to time series analysis with KNIME Analytics Platform, covering both theory and use cases. We hope you've had fun reading and learning through this book!
If you want to learn more about forecasting and time series, there are several publications, dedicated web pages, and academic papers that extend the topics covered in this book. For example, we recommend that you take a look at these:
- Forecasting: Principles and Practice, Third Edition, by Rob J Hyndman and George Athanasopoulos (https://otexts.com/fpp3/): an amazing free book on time series analysis, full of tips and methodologies to face most of the challenges related to forecasting.
- M Competitions (https://mofc.unic.ac.cy/history-of-competitions/): A series of competitions on forecasting methods that focus on which models have produced good forecasts on real data to solve specific everyday problems; they are very useful for understanding which methods are state...
