Data Analytics
Models and Algorithms for Intelligent Data Analysis
Autoren: Runkler, Thomas A.
Vorschau- 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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- Über dieses Lehrbuch
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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.
- Über die Autor*innen
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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.
- Inhaltsverzeichnis (9 Kapitel)
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Introduction
Seiten 1-4
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Data and Relations
Seiten 5-22
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Data Preprocessing
Seiten 23-36
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Data Visualization
Seiten 37-59
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Correlation
Seiten 61-68
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Inhaltsverzeichnis (9 Kapitel)
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Bibliografische Information
- Bibliographic Information
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- Buchtitel
- Data Analytics
- Buchuntertitel
- Models and Algorithms for Intelligent Data Analysis
- Autoren
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- Thomas A. Runkler
- Copyright
- 2020
- Verlag
- Springer Vieweg
- Copyright Inhaber
- 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
- Auflage
- 3
- Seitenzahl
- XII, 161
- Anzahl der Bilder
- 72 schwarz-weiß Abbildungen
- Themen
