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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[AM42] Daniel A. Keim
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[AM45] D. A. Keim, Ming C. Hao, U. Dayal, M. Hsu
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[AM46] D. Keim
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The self-organizing map
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[AM48] M. Kreuseler, H. Schumann
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[AM49] A. Kuhn, D. J. Lehmann, R. Gaststeiger, M. Neugebauer, B Preim, H. Theisel
A Clustering-based Visualization Technique to Emphasize Meaningful Regions of Vector Fields
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[AM50] D. J. Lehmann, H. Theisel
Features in {C}ontinuous {P}arallel {C}oordinates
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[AM51] D. J. Lehmann, H. and Theisel
Discontinuities in {C}ontinuous {S}catterplots
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[AM52] D. J. Lehmann, G. Albuquerque, M. Eisemann, A. Tatu, D. Keim, H. Schumann, M. Magnor, H. Theisel
Visualisierung und {A}nalyse multidimensionaler Datens?tze
Informatik-Spektrum, 2010

[AM53] Hao, Fogarty
Cascaded treemaps: examining the visibility and stability of structure in treemaps
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[AM54] T. Munzner, F. Guimbretiere, S. Tasiran, L. Zhang, Y. Zhou
TreeJuxtaposer: Scalable Tree Comparison Using Focus+Context with Guaranteed Visibility.
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[AM55] Nov\’{a}kov\’{a}, Lenka and \v{S}t\v{e}p\’{a}nkov\’{a}, Olga
RadViz and Identification of Clusters in Multidimensional Data
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[AM56] Nov\’{a}kov\’{a}, Lenka and \v{S}t\v{e}p\’{a}nkov\’{a}, Olga
Visualization of Trends Using RadViz
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[AM57] Nov\’{a}kov\’{a}, Lenka and \v{S}tep\’{a}nkov\’{a}, Olga
Multidimensional clusters in RadViz
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[AM58] D. Oelke, D. Spretke, A. Stoffel, D. A. Keim
Visual Readability Analysis: How to make your writings easier to read
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[AM59] R. M. Picket, G. Grindstein
Iconographics Displays for Visualizing Multidimensional Data.
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[AM60] P. Pirolli, R. Rao
Table lens as a tool for making sense of data
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[AM61] R. Rao, S. K. Card
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[AM62] Rauschenbach, U. and Weinkauf, T. and Schumann, H.
Interactive Focus and Context Display of Large Raster Images
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[AM63] {Schlechtweg, S. and Schulze-Wollgast, P. and Schumann, H.
Interactive Treemaps with Detail on Demand to Support Information Search in Documents}
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[AM64] H. Schumann and W. M?ller
Visualisierung: Grundlagen und allgemeine Methoden
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[AM65] Seo, J. and Shneiderman, B
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[AM66] Sips, Mike and Neubert, Boris and Lewis, John P. and Hanrahan, Pat
Selecting good views of high-dimensional data using class consistency
_Computer Graphics Forum (Proc. EuroVis 2009), Blackwell Ltd., 2009 _

[AM67] Sharko, John and Grinstein, Georges and Marx, Kenneth A.},
Vectorized Radviz and Its Application to Multiple Cluster Datasets
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[AM68] Soukup, T. and Davidson, I.
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[AM69] Stasko, John
An evaluation of space-filling information visualizations for depicting hierarchical structures
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[AM70] Stolte, c and Tang, D. and Hanrahan, P.
Polaris: A System for Query, Analysis and Visualization of Multi-dimensional Relational Databases
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[AM71] A. Tatu and G. Albuquerque and M. Eisemann and J. Schneidewind and H. Theisel and M. Magnor and D. Keim
Combining automated analysis and visualization techniques for effective exploration of high-dimensional data
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[AM72] Tatu, Andrada and Bak, Peter and Bertini, Enrico and Keim, Daniel and Schneidewind, Joern
Visual quality metrics and human perception: an initial study on 2D projections of large multidimensional data
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[AM73] Andrada Tatu and Georgia Albuquerque and Martin Eisemann and Peter Bak and Holger Theisel and Marcus Magnor and Daniel Keim
Automated Analytical Methods to Support Visual Exploration of High-Dimensional Data
IEEE Trans. Visualization and Computer Graphics, 2011

[AM74] Torgerson, Warren
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[AM75] J. Tukey and P. Tukey
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[AM76] Wilkinson, L. and Anand, A. and Grossman, R.
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[AM77] Witten, I.H. and Frank, E. and Hall, M.A.
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[AM78] P. C. Wong and R. D. Bergeron
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[AM79] Yang, J. and Ward, M. and Rundensteiner, E. and Huang, S.
Visual hierarchical dimension reduction for exploration of high dimensional datasets
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[AM80] Jing Yang and Wei Peng and Matthew O. Ward and Elke A. Rundensteiner
Interactive Hierarchical Dimension Ordering, Spacing and Filtering for Exploration of High Dimensional Datasets
Proc. IEEE Symposium on Information Visualization, 2003

[AM81] S. Bachthaler, D. Weiskopf
Continuous Scatterplots
IEEE Transactions on Visualization and Computer Graphics (Proceedings Visualization / Information Visualization 2008)

[AM82] D. Holten
Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data
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[AM83] Daniel A. Keim and Florian Mansmann and J?rn Schneidewind and Hartmut Ziegler and Jim Thomas
Visual Analytics: Scope and Challenges
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[AM84] A. Inselberg, B. Dimsdale
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[AM85] J. Schneidewind and M. Sips and D.A. Keim
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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