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Data Analytics

Models and Algorithms for Intelligent Data Analysis

  • Textbook
  • © 2016

Overview

Authors:
  1. Thomas A. Runkler

    1. München, Germany

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  • 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)

  1. Front Matter

    Pages i-xii
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  2. Introduction

    • Thomas A. Runkler
    Pages 1-3

  3. Data and Relations

    • Thomas A. Runkler
    Pages 5-22

  4. Data Preprocessing

    • Thomas A. Runkler
    Pages 23-36

  5. Data Visualization

    • Thomas A. Runkler
    Pages 37-58

  6. Correlation

    • Thomas A. Runkler
    Pages 59-65

  7. Regression

    • Thomas A. Runkler
    Pages 67-83

  8. Forecasting

    • Thomas A. Runkler
    Pages 85-89

  9. Classification

    • Thomas A. Runkler
    Pages 91-109

  10. Clustering

    • Thomas A. Runkler
    Pages 111-132

  11. Back Matter

    Pages 133-150
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Keywords

About this book

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.

Reviews

“The book is especially suitable as a course support (especially as each chapter also ends with a set of exercises), but also as introductory material for master or PhD students that are new to the data analytics domain, as they can obtain a quick overview.” (Ruxandra Stoean, zbMATH 1373.68007, 2017)

Authors and Affiliations

  • München, Germany

    Thomas A. Runkler

About the author

Thomas A. Runkler is Principal Research Scientist at Siemens Corporate Technology and Professor for Computer Science at the Technical University of Munich.

Bibliographic Information

  • Book Title: Data Analytics

  • Book Subtitle: Models and Algorithms for Intelligent Data Analysis

  • Authors: Thomas A. Runkler

  • DOI: https://doi.org/10.1007/978-3-658-14075-5

  • Publisher: Springer Vieweg Wiesbaden

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Fachmedien Wiesbaden 2016

  • eBook ISBN: 978-3-658-14075-5Published: 26 July 2016

  • Edition Number: 2

  • Number of Pages: XII, 150

  • Number of Illustrations: 66 b/w illustrations

  • Topics: Data Mining and Knowledge Discovery, Data Structures

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