Preface

This book gives an overview of the basics of time series data and time series analysis and of KNIME Analytics Platform and its time series integration. It shows how to implement practical solutions for a wide range of use cases, from demand prediction to signal classification and signal forecasting, and from price prediction to anomaly detection. It also demonstrates how to integrate other tools in addition to KNIME Analytics Platform within the same application.

The book instructs you on common preprocessing steps of time series data and statistics and machine learning-based techniques for forecasting. These things need to be learned to master the field of time series analysis. The book also points you to examples implemented in KNIME Analytics Platform, which is a visual programming tool that is accessible and fast to learn. This removes the common time and skill barrier of learning to code.