Visual Analytics for Data Scientists

Natalia Andrienko (), Gennady Andrienko (), Georg Fuchs (), Aidan Slingsby (), Cagatay Turkay () and Stefan Wrobel ()
Additional contact information
Natalia Andrienko: City, University of London, Northampton Square, Fraunhofer Institute Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven, Sankt Augustin, Germany, Department of Computer Science
Gennady Andrienko: City, University of London, Northampton Square, Fraunhofer Institute Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven, Sankt Augustin, Germany, Department of Computer Science
Georg Fuchs: Fraunhofer Institute Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven
Aidan Slingsby: City, University of London, Northampton Square, Department of Computer Science
Cagatay Turkay: University of Warwick, Centre for Interdisciplinary Methodologies
Stefan Wrobel: University of Bonn, Fraunhofer Institute Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven, Sankt Augustin, Germany

in Springer Books from Springer

Date: 2020
ISBN: 978-3-030-56146-8
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Chapters in this book:

Ch Chapter 1 Introduction to Visual Analytics by an Example

Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay and Stefan Wrobel

Ch Chapter 10 Visual Analytics for Understanding Phenomena in Space and Time

Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay and Stefan Wrobel

Ch Chapter 11 Visual Analytics for Understanding Texts

Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay and Stefan Wrobel

Ch Chapter 12 Visual Analytics for Understanding Images and Video

Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay and Stefan Wrobel

Ch Chapter 13 Computational Modelling with Visual Analytics

Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay and Stefan Wrobel

Ch Chapter 14 Conclusion

Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay and Stefan Wrobel

Ch Chapter 2 General Concepts

Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay and Stefan Wrobel

Ch Chapter 3 Principles of Interactive Visualisation

Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay and Stefan Wrobel

Ch Chapter 4 Computational Techniques in Visual Analytics

Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay and Stefan Wrobel

Ch Chapter 5 Visual Analytics for Investigating and Processing Data

Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay and Stefan Wrobel

Ch Chapter 6 Visual Analytics for Understanding Multiple Attributes

Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay and Stefan Wrobel

Ch Chapter 7 Visual Analytics for Understanding Relationships between Entities

Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay and Stefan Wrobel

Ch Chapter 8 Visual Analytics for Understanding Temporal Distributions and Variations

Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay and Stefan Wrobel

Ch Chapter 9 Visual Analytics for Understanding Spatial Distributions and Spatial Variation

Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay and Stefan Wrobel

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DOI: 10.1007/978-3-030-56146-8

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