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

Connecting to the Spark platform and preparing the data

In this section, we'll show you how to start the Spark application in KNIME by connecting to the cluster and loading data into it. We'll also introduce you to the Spark nodes, which you'll need in the prediction task in the next section. We'll cover these topics in the following subsections:

Introducing the Hadoop ecosystem
Accessing the data and loading it into Spark
Introducing the Spark compatible nodes

In the first subsection, we explain what the Hadoop ecosystem is and show how to access it from a KNIME workflow.

Introducing the Hadoop ecosystem

The Apache Hadoop ecosystem is an open source software framework that combines several computers into a computing cluster within which the processing tasks are split into smaller pieces and executed parallelly. Figure 12.1 illustrates the Hadoop framework:

Figure 12.1 – Illustrating the Hadoop software...

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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

Connecting to the Spark platform and preparing the data

Introducing the Hadoop ecosystem

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Authors (4)

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