Daten Visualisierung und Visual Analytics
Big Data ist ein Schlagwort unserer Zeit, denn es entstehen Daten fast bei jedem Prozess, ob in Wirtschaft, Wissenschaft, oder im sozialen Bereich.

In den letzten Jahren ist es immer einfacher geworden solche Daten persistent zu sammeln, aufgrund moderner Speichertechnologien. Deren Auswertung hat sich jedoch zunehmend als schwierig erwiesen.

Zum einen fehlt es oft an geeigneten Methoden, zum anderen hat sich gezeigt, das Daten auch innerhalb ihrer Eigenschaften bzgl.
ihrer zugrunde liegenden Domain interpretiert werden m?ssen. Nur so kann sichergestellt werden, dass eine Datenauswertung in relevante
Handlungs- und Entscheidungskompetenz ?berf?hrt wird. Auf der anderen Seite f?hrt die schiere Menge an verf?gbaren Daten
ebenfalls zu erschwerten Auswertungsbedingungen, weil weder die Daten in ihrer Gesamtheit gesichtet werden k?nnen noch eine geeignete Strategie
die Daten in unabh?ngige Sub-Datenmengen zu zerlegen trivial benannt werden kann.

In dieser Vorlesung diskutieren wir Methoden Daten automatisch zu analysieren, ebenso wie Methoden den Nutzer von Daten in den Analyseprozess mit einzubinden,
welches unter dem Stichwort Daten Visualisierung durchaus dem ein oder anderen unter Ihnen bekannt sein d?rfte. Eine logische Konsequenz ist es beide Ans?tze
miteinander zu kombinieren und um interaktive Methoden zu bereichern: Ein Ansatz welcher als Visual Analytics bezeichnet wird und welchen wir ebenfalls in dieser
Veranstaltung aufgreifen und diskutieren werden.

Die Veranstaltung selbst ist breit aufgestellt und self-contained. Notwendiges Wissen f?r das Verst?ndnis von relevanten Methoden wird in den ersten Wochen vorgestellt, um im folgenden Automatische Analyse Methoden, visuelle Methoden, und Methoden der Visual Analytics
zu besprechen.





Lecturer:
Dr.-Ing. Dirk Joachim Lehmann
Dates:
Wann & Wo:
Do. 18:15 bis 19:45 w?chentlich G29-K059
(ab 3. April 2014 w?chentlich)

Kontakt:
dirk@isg.cs.uni-magdeburg.de
Classification:
Computervisualistik (82152) Bachelor 4 - 6 WPF
Informatik (82150) Bachelor 4 - 6 WPF
Ingenieurinformatik (82157) Bachelor 4 - 6 WPF
Wirtschaftsinformatik (82159) Bachelor 4 - 6 WPF
Completion:
Seminararbeit + Schriftliche Pr?fung (2 h am Ende des Semesters)
Certificate/Schein:
bestandene Seminararbeit + Pr?fung
Additional Information:
> Lecture website <

M?gliche Themen f?r die Hausarbeit:

Bitte w?hlt bis zum 17.April 2014 ein Thema f?r eure Hausarbeit und sendet es mir zu. Danke.

- Graph-Visualization (Edge-Bundles, Tree-Maps)

- Clustering Approaches (K-Means, Local Outlier Factor, Sub-space Clustering)

- Machine Learning vs. Data Mining

- Bivariate vs. Multivariate Visualization Approaches (Scatterplots, Parallel Coordinates, RadVis)

- Approaches for Focus and Context and Level of Detail in Visual Analytics

- Quality Metrics in Visual Search

- Generation of high-dimensional or multivariate synthetic Data

- Text Visualization

- …

- Own Topic

Hausarbeitsthemen:

Thomas Winterberg : Approaches for Focus and Context and Level of Detail in Visual Analytics

Christoph M?ller : Graph-Visualization

Stephan Fensky : Clustering Approaches

Peter Krummhaar : Text Visualisierung

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[AM52] D. J. Lehmann, G. Albuquerque, M. Eisemann, A. Tatu, D. Keim, H. Schumann, M. Magnor, H. Theisel
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[AM53] Hao, Fogarty
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[IV1] D. A. Keim.
Designing pixel-oriented visualization techniques: Theory and applications
IEEE Transactions on Visualization and Computer Graphics, 2000

[IV2] G. Albuquerque, M. Eisemann, D. J. Lehmann, H. Theisel, M. Magnor,
Improving the Visual Analysis of High-dimensional Datasets Using Quality Measures
Proc. IEEE Symposium on Visual Analytics Science and Technology (VAST), 2010

[IV3] G. Albuquerque, M. Eisemann, D. J. Lehmann, H. Theisel, M. Magnor,
Quality-Based Visualization Matrices
Proceedings of Vision, Modeling, and Visualization (VMV), 2009

[IV4] G.Albuquerque, T. L?we, M. Magnor,Synthetic
Generation of High-dimensional Datasets
Proc. IEEE InfoVis, 2011

[IV5] J?rgen Waser, Raphael Fuchs, Hrvoje Ribicic, Benjamin Schindler, G?nther Bl?schl, and M. Eduard Gr?ller,
World Lines
IEEE Transactions on Visualization and Computer Graphics(16(6)),2010

[IV6] Mike Sips, Boris Neubert, John P. Lewis, Pat Hanrahan:
Selecting good views of high-dimensional data using class consistency
Computer Graphics Forum (Proc. EuroVis 2009), 2009

[IV7] P. Hoffman, G. Grinstein, K. Marx, I. Grosse, E. Stanley.
DNA visual and analytic data mining
In Proceedings of the 8th conference on Visualization, 1997

[IV8] B. Shneiderman
Treemaps for spaceconstrained visualization of hierarchies
ACM Transactions on Graphics, Jan. 1992

[IV9] Thomas Seidl and Tobias Schreck and Enrico Bertini and Ines Farber and Fabian Maas and Andrada Tatu and Daniel Keim
Subspace Search and Visualization to Make Sense of Alternative Clusterings in High-Dimensional Data
Procedings of IEEE Symposium on Visual Analytics Science and Technology (VAST), 2012

[IV10] E.P.S. Amorim, E. Brazil, J. Daniels, P. Joia, L.G. Nonato, M.C. Sousa
iLAMP: Exploring High-Dimensional Spacing through Backward Multidimensional Projection
IEEE Conf. on Vis. Analytics Sci. Tech. (VAST), 2012

[IV11] Albuquerque, Georgia and L?we, Thomas and Magnor, Marcus
Synthetic Generation of High-dimensional Datasets
{IEEE} Transactions on Visualization and Computer Graphics {(TVCG,} Proc. Visualization / InfoVis), 2011

[SV1] W. von Funck, T. Weinkauf, H. Theisel, and H.-P. Seidel,
Smoke Surfaces: An Interactive Flow Visualization Technique Inspired by Real-World Flow Experiments
IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE Visualization), vol. 14, no. 6, pp. 1396-1403, Nov. 2008

[SV2] F. Ferstl, K. Burger, H. Theisel, and R. Westermann,
Interactive Separating Streak Surfaces
Visualization and Computer Graphics, IEEE Transactions on, vol. 16, no. 6, pp. 1569?1577, 2010

[SV3] T. Germer, M. Otto, R. Peikert and H. Theisel
Lagrangian Coherent Structures with Guaranteed Material Separation
Computer Graphics Forum (Proc. EuroVis), 2011

[SV4] D. J. Lehmann and H. Theisel
Discontinuities in Continuous Scatterplots
IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE Visualization), 2010

[SV5] J. Heinrich, S. Bachthaler and D. Weiskop
Progressive Splatting of Continuous Scatterplots and Parallel Coordinates
IEEE Symposium on Visualization 2011 (EuroVis 2011), Volume 30 (2011), Number 3, June 2011

[SV6] D. J. Lehmann and H. Theisel
Features in Continuous Parallel Coordinates
IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE Visualization), 2011

[SV7] T. Salzbrunn and G. Scheuermann
Streamline Predicates
IEEE Transactions on Visualization and Computer Graphics, vol. 12, pp. 1601-1612, 2006

[SV8] P. Dobrev, T. Van Long and L. Linsen
A Cluster Hierarchy-based Volume Rendering Approach for Interactive Visual Exploration of Multi-variate Volume Data
Proc. of Vision, Modeling and Visualization Workshop (VMV), Oct. 2011

[SV9] C.-K. Chen, S. Yan, H. Yu, N. Max, and K.-L. Ma
An Illustrative Visualization Framework for 3D Vector Fields
Proc. of Pacific Graphics 2011, Sept. 2011

[SV10] A. Kratz, N. Kettlitz, I. Hotz
Particle-Based Anisotropic Sampling for Two-Dimensional Tensor Field Visualization
Proc. of Vision, Modeling and Visualization Workshop (VMV), Oct. 2011

[SV11] A. Kuhn, D. J. Lehmann, R. Gasteiger, M. Neugebauer, B. Preim, H. Theisel
A Clustering-based Visualization Technique to Emphasize Meaningful Regions of Vector Fields
Proc. of Vision, Modeling and Visualization Workshop (VMV), Oct. 2011

[SV12] George Haller
A variational theory of hyperbolic Lagrangian Coherent Structures
Physica D: Nonlinear Phenomena, 2011

[SV13] A. Kuhn and C. R?ssl and T. Weinkauf and H. Theisel
A Benchmark for Evaluating FTLE Computations
Proceedings of 5th IEEE Pacific Visualization Symposium (PacificVis), 2012

Recent news:
17.11.2017

Research Seminar Announcement

In the course of the Visual Computing research seminar Prof. Dr. Mario Botsch from the University of Bielefeld will give a talk with subsequent discussion about the topic ICSPACE: Motor Learning in Virtual Reality.

We would like to invite everyone interested to join us. The research seminar will take place on Friday 24.11.2017, 13:15 in G29-R335.

To the overview…