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Data Analytics

Models and Algorithms for Intelligent Data Analysis

Authors: Runkler, Thomas A.

  • A comprehensive introduction

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eBook $29.99
price for USA
  • ISBN 978-3-8348-2589-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
About this Textbook

This book is a comprehensive introduction to the methods and algorithms and approaches of modern data analytics. It covers data preprocessing, visualization, correlation, regression, forecasting, classification, and clustering. 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. The text is designed for undergraduate and graduate courses on data analytics for engineering, computer science, and math students. It is also suitable for practitioners working on data analytics projects. This book has been used for more than ten years in numerous courses at the Technical University of Munich, Germany, in short courses at several other universities, and in tutorials at scientific conferences. Much of the content is based on the results of industrial research and development projects at Siemens.

About the authors

Thomas Runkler is doing research at Siemens Corporate Technology in Munich and teaching data analytics and machine learning at the Technical University of Munich.

Table of contents (11 chapters)

Buy this book

eBook $29.99
price for USA
  • ISBN 978-3-8348-2589-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase

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Bibliographic Information

Bibliographic Information
Book Title
Data Analytics
Book Subtitle
Models and Algorithms for Intelligent Data Analysis
Authors
Copyright
2012
Publisher
Vieweg+Teubner Verlag
Copyright Holder
Vieweg+Teubner Verlag | Springer Fachmedien Wiesbaden
eBook ISBN
978-3-8348-2589-6
DOI
10.1007/978-3-8348-2589-6
Edition Number
1
Number of Pages
X, 137
Number of Illustrations and Tables
66 b/w illustrations
Topics