You're reading from Codeless Time Series Analysis with KNIME A practical guide to implementing forecasting models for time series analysis applications

Product type Paperback

Published in Aug 2022

Publisher Packt

ISBN-13 9781803232065

Length 392 pages

Edition 1st Edition

Languages

Java

Tools

Knime

Concepts

Data Analysis

Authors (4):

Daniele Tonini

Maarit Widmann

Corey Weisinger

KNIME AG

View More author details

Table of Contents (20) Chapters

Preface

1. Part 1: Time Series Basics and KNIME Analytics Platform

2. Chapter 1: Introducing Time Series Analysis FREE CHAPTER

3. Chapter 2: Introduction to KNIME Analytics Platform

4. Chapter 3: Preparing Data for Time Series Analysis

5. Chapter 4: Time Series Visualization

6. Chapter 5: Time Series Components and Statistical Properties

7. Part 2: Building and Deploying a Forecasting Model

8. Chapter 6: Humidity Forecasting with Classical Methods

9. Chapter 7: Forecasting the Temperature with ARIMA and SARIMA Models

10. Chapter 8: Audio Signal Classification with an FFT and a Gradient-Boosted Forest

11. Chapter 9: Training and Deploying a Neural Network to Predict Glucose Levels

12. Chapter 10: Predicting Energy Demand with an LSTM Model

13. Chapter 11: Anomaly Detection – Predicting Failure with No Failure Examples

14. Part 3: Forecasting on Mixed Platforms

15. Chapter 12: Predicting Taxi Demand on the Spark Platform

16. Chapter 13: GPU Accelerated Model for Multivariate Forecasting

17. Chapter 14: Combining KNIME and H2O to Predict Stock Prices

18. Answers

19. Other Books You May Enjoy

Exploring the KNIME software

In this first section, we will introduce you to the features of the KNIME software, which covers two products: the open source KNIME Analytics Platform, and the KNIME Server commercial product. Together, these two products enable all operations in a data science application, from data access to modeling and from deployment to model monitoring.

We will first introduce you to KNIME Analytics Platform.

Introducing KNIME Analytics Platform for creating data science applications

KNIME Analytics Platform is an open source tool for creating data science applications. It is based on visual programming, making it fast to learn, accessible, and transparent. If needed, you can also integrate other tools—including scripts—into your visual workflows.

In visual programming, each individual task is indicated by a colored block, which in KNIME Analytics Platform is called a node. A node has an intuitive name describing its task and a graphical...

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You're reading from Codeless Time Series Analysis with KNIME A practical guide to implementing forecasting models for time series analysis applications

Table of Contents (20) Chapters

Exploring the KNIME software

Introducing KNIME Analytics Platform for creating data science applications

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Authors (4)

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