KNIME Essentials

KNIME is an open source data analytics, reporting, and integration platform, which allows you to analyze a small or large amount of data without having to reach out to programming languages like R.

"KNIME Essentials" teaches you all you need to know to start processing your first data sets using KNIME. It covers topics like installation, data processing, and data visualization including the KNIME reporting features. Data processing forms a fundamental part of KNIME, and KNIME Essentials ensures that you are fully comfortable with this aspect of KNIME before showing you how to visualize this data and generate reports.

"KNIME Essentials" guides you through the process of the installation of KNIME through to the generation of reports based on data. The main parts between these two phases are the data processing and the visualization. The KNIME variants of data analysis concepts are introduced, and after the configuration and installation description comes the data processing which has many options to convert or extend it. Visualization makes it easier to get an overview for parts of the data, while reporting offers a way to summarize them in a nice way.

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KNIME Essentials

KNIME is an open source data analytics, reporting, and integration platform, which allows you to analyze a small or large amount of data without having to reach out to programming languages like R.

"KNIME Essentials" teaches you all you need to know to start processing your first data sets using KNIME. It covers topics like installation, data processing, and data visualization including the KNIME reporting features. Data processing forms a fundamental part of KNIME, and KNIME Essentials ensures that you are fully comfortable with this aspect of KNIME before showing you how to visualize this data and generate reports.

"KNIME Essentials" guides you through the process of the installation of KNIME through to the generation of reports based on data. The main parts between these two phases are the data processing and the visualization. The KNIME variants of data analysis concepts are introduced, and after the configuration and installation description comes the data processing which has many options to convert or extend it. Visualization makes it easier to get an overview for parts of the data, while reporting offers a way to summarize them in a nice way.

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KNIME Essentials

KNIME Essentials

by Gabor Bakos
KNIME Essentials

KNIME Essentials

by Gabor Bakos

eBook

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Overview

KNIME is an open source data analytics, reporting, and integration platform, which allows you to analyze a small or large amount of data without having to reach out to programming languages like R.

"KNIME Essentials" teaches you all you need to know to start processing your first data sets using KNIME. It covers topics like installation, data processing, and data visualization including the KNIME reporting features. Data processing forms a fundamental part of KNIME, and KNIME Essentials ensures that you are fully comfortable with this aspect of KNIME before showing you how to visualize this data and generate reports.

"KNIME Essentials" guides you through the process of the installation of KNIME through to the generation of reports based on data. The main parts between these two phases are the data processing and the visualization. The KNIME variants of data analysis concepts are introduced, and after the configuration and installation description comes the data processing which has many options to convert or extend it. Visualization makes it easier to get an overview for parts of the data, while reporting offers a way to summarize them in a nice way.


Product Details

ISBN-13: 9781849699228
Publisher: Packt Publishing
Publication date: 10/16/2013
Sold by: Barnes & Noble
Format: eBook
Pages: 148
File size: 2 MB

About the Author

Gabor Bakos is a programmer and mathematician with a few years of experience in KNIME usage and KNIME node development (HiTS nodes and RapidMiner integration for KNIME).In Trinity College Dublin, the author helped a research group with his data analysis skills (and he also had the opportunity to improve on his own skills) and with new KNIME node development. When he worked for the Evopro Kft., or the Scriptum Informatika Zrt., he also worked on various data analysis software products. He currently works for his own company, Mind Eratosthenes Kft. (http://mind-era.com), where he develops the RapidMiner integration for KNIME (http://tech.knime.org/community/rapidminer-integration) among other things.The author would like to thank the reviewers and Packt Publishing for their help in creating this book.

Table of Contents

  1. Installing and Using KNIME
  2. Few words about KNIME
  3. Installing KNIME
  4. KNIME terminologies
  5. User interface
  6. Summary
  7. Data Preprocessing
  8. Data Exploration
  9. Reporting
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