Data Analytics
Models and Algorithms for Intelligent Data Analysis
Authors: Runkler, Thomas A.
Free Preview- A comprehensive introduction
- Enabling the reader to design and implement data analytics solutions for real-world applications
- Written by a researcher from industry with substantial experience with real-world data analytics applications
- Successfully used for more than 10 years in courses at the Technical University of Munich
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- About this Textbook
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This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in the Data Mining course at the Technical University of Munich. Much of the content is based on the results of industrial research and development projects at Siemens.
- About the authors
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Thomas A. Runkler is Principal Research Scientist at Siemens Corporate Technology and Professor for Computer Science at the Technical University of Munich.
- Table of contents (9 chapters)
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Introduction
Pages 1-4
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Data and Relations
Pages 5-22
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Data Preprocessing
Pages 23-36
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Data Visualization
Pages 37-59
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Correlation
Pages 61-68
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Table of contents (9 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Data Analytics
- Book Subtitle
- Models and Algorithms for Intelligent Data Analysis
- Authors
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- Thomas A. Runkler
- Copyright
- 2020
- Publisher
- Springer Vieweg
- Copyright Holder
- Springer Fachmedien Wiesbaden GmbH, part of Springer Nature
- eBook ISBN
- 978-3-658-29779-4
- DOI
- 10.1007/978-3-658-29779-4
- Softcover ISBN
- 978-3-658-29778-7
- Edition Number
- 3
- Number of Pages
- XII, 161
- Number of Illustrations
- 72 b/w illustrations
- Topics
