Codeless Time Series Analysis with KNIME

This book, "Codeless Time Series Analysis with KNIME," serves as your practical guide to mastering time series analysis using the KNIME Analytics Platform. By diving into this book, you'll explore a variety of statistical and machine learning techniques applied explicitly to real-world time series scenarios, helping you build predictive and analysis models effectively.

What this Book will help me do

• Leverage KNIME's powerful tools to preprocess and prepare time series data for analysis.
• Visualize and dissect time series data into its components like trends and seasonality.
• Apply statistical models like ARIMA to analyze and forecast continuous data.
• Train and utilize neural networks including LSTM models for predictive analytics.
• Integrate external tools like Spark and H2O to enhance your forecasting workflows.

Author(s)

The authors, including experts from KNIME AG, Corey Weisinger, Maarit Widmann, and Daniele Tonini, collectively bring extensive experience in data analytics and time series modeling. Their expertise with KNIME's tools and real-world time series analysis applications ensures readers gain insights into practical, hands-on techniques.

Who is it for?

This book is ideally suited for data analysts and scientists eager to explore time series analysis through codeless methodologies. Beginners will benefit from the introductory explanations, while seasoned professionals will find value in the advanced topics and real-world examples. A basic understanding of the KNIME platform is recommended to get the most from this book.