Codeless Time Series Analysis with KNIME

Codeless Time Series Analysis with KNIME

eBook Details:

  • Paperback: 392 pages
  • Publisher: WOW! eBook (August 19, 2022)
  • Language: English
  • ISBN-10: 1803232064
  • ISBN-13: 978-1803232065

eBook Description:

Codeless Time Series Analysis with KNIME: Perform time series analysis using KNIME Analytics Platform, covering both statistical methods and machine learning-based methods

This Codeless Time Series Analysis with KNIME book will take you on a practical journey, teaching you how to implement solutions for many use cases involving time series analysis techniques.

This learning journey is organized in a crescendo of difficulty, starting from the easiest yet effective techniques applied to weather forecasting, then introducing ARIMA and its variations, moving on to machine learning for audio signal classification, training deep learning architectures to predict glucose levels and electrical energy demand, and ending with an approach to anomaly detection in IoT. There’s no time series analysis book without a solution for stock price predictions and you’ll find this use case at the end of the book, together with a few more demand prediction use cases that rely on the integration of KNIME Analytics Platform and other external tools.

  • Install and configure KNIME time series integration
  • Implement common preprocessing techniques before analyzing data
  • Visualize and display time series data in the form of plots and graphs
  • Separate time series data into trends, seasonality, and residuals
  • Train and deploy FFNN and LSTM to perform predictive analysis
  • Use multivariate analysis by enabling GPU training for neural networks
  • Train and deploy an ML-based forecasting model using Spark and H2O

By the end of this time series book, you’ll have learned about popular time series analysis techniques and algorithms, KNIME Analytics Platform, its time series extension, and how to apply both to common use cases.

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