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Data Analytics

Models and Algorithms for Intelligent Data Analysis

  • Textbook
  • © 2012

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
  • Successfully used for more than 10 years
  • Includes supplementary material: sn.pub/extras
  • Includes supplementary material: sn.pub/extras

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-ix
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  2. Introduction

    • Thomas A. Runkler
    Pages 1-3

  3. Data and Relations

    • Thomas A. Runkler
    Pages 5-20

  4. Data Preprocessing

    • Thomas A. Runkler
    Pages 21-34

  5. Data Visualization

    • Thomas A. Runkler
    Pages 35-54

  6. Correlation

    • Thomas A. Runkler
    Pages 55-61

  7. Regression

    • Thomas A. Runkler
    Pages 63-78

  8. Forecasting

    • Thomas A. Runkler
    Pages 79-83

  9. Classification

    • Thomas A. Runkler
    Pages 85-101

  10. Clustering

    • Thomas A. Runkler
    Pages 103-122

  11. Brief Review of Some Optimization Methods

    • Thomas A. Runkler
    Pages 123-126

  12. Solutions

    • Thomas A. Runkler
    Pages 127-129

  13. Back Matter

    Pages 131-137
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Keywords

About this book

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.

Authors and Affiliations

  • München, Germany

    Thomas A. Runkler

About the author

Thomas Runkler is doing research at Siemens Corporate Technology in Munich and teaching data analytics and machine learning 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/10.1007/978-3-8348-2589-6

  • Publisher: Vieweg+Teubner Verlag Wiesbaden

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

  • Copyright Information: Vieweg+Teubner Verlag | Springer Fachmedien Wiesbaden 2012

  • eBook ISBN: 978-3-8348-2589-6Published: 26 September 2012

  • Edition Number: 1

  • Number of Pages: X, 137

  • Number of Illustrations: 66 b/w illustrations

  • Topics: Data Mining and Knowledge Discovery, Data Structures, Computer Science, general

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