Overview
- 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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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Data Analytics
Book Subtitle: Models and Algorithms for Intelligent Data Analysis
Authors: Thomas A. Runkler
DOI: https://doi.org/10.1007/978-3-658-29779-4
Publisher: Springer Vieweg Wiesbaden
eBook Packages: Computer Science and Engineering (German Language)
Copyright Information: Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2020
Softcover ISBN: 978-3-658-29778-7Published: 14 May 2020
eBook ISBN: 978-3-658-29779-4Published: 13 May 2020
Edition Number: 3
Number of Pages: XII, 161
Number of Illustrations: 72 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Data Structures and Information Theory
Industry Sectors: Aerospace, Biotechnology, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, Finance, Business & Banking, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications