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KNIME Essentials

You're reading from KNIME Essentials

Product type Book

Published in Oct 2013

Publisher Packt

ISBN-13 9781849699211

Pages 148 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Gábor Bakos

Table of Contents (11) Chapters

KNIME Essentials

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

1. Installing and Using KNIME

2. Data Preprocessing

3. Data Exploration

4. Reporting

Index

Few words about KNIME

KNIME is an open source (GNU GPL available at http://www.gnu.org/licenses/gpl.html) data analytics platform with a large set of building blocks and third-party tools. You can use it from loading your data to a final report or to predict new values using a previously found model.

KNIME is available in four flavors: Desktop/Professional, Team Space, Server, and Cluster Execution. Only the Desktop version is open source; with a Professional subscription, you will get support for it, and also support the future development of KNIME. We will cover only the open source version. There is also an SDK version for free, but it is intended for use by node developers. Most probably, you will not need it yet.

At the time of writing this book, KNIME Desktop 2.8.0 was the latest version available; all the information presented in this book is based on that version.

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KNIME Essentials

Published in: Oct 2013 Publisher: Packt ISBN-13: 9781849699211

© 2013 Packt Publishing Limited All Rights Reserved

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Authors (1)

Gábor Bakos

Gbor Bakos is a programmer and a mathematician, having a few years of experience with KNIME and KNIME node development (HiTS nodes and RapidMiner integration for KNIME). In Trinity College, Dublin, the author was helping a research group with his data analysis skills (also had the opportunity to improve those), and with the new KNIME node development. When he worked for the evopro Kft. or the Scriptum Informatika Zrt., he was also working on various data analysis software products. He currently works for his own company, Mind Eratosthenes Kft. (www.mind-era.com), where he develops the RapidMiner integration for KNIME (tech.knime.org/community/rapidminer-integration), among other things.

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