Session : Theory and Foundations
Date & Time : October 26 08:30 am - 10:10 am
Location : Ballroom D
Chair : Jeff Heer
Papers :
Quality Metrics in High-Dimensional Data Visualization: An Overview and Systematization
Authors:
Enrico Bertini, Andrada Tatu, Daniel Keim
Benefitting InfoVis with Visual Difficulties
Authors:
Jessica Hullman, Eytan Adar, Priti Shah
Authors:
Hadley Wickham, Heike Hofmann
Visualization Rhetoric: Framing Effects in Narrative Visualization
Authors:
Jessica Hullman, Nick Diakopoulos
Adaptive Privacy-Preserving Visualization Using Parallel Coordinates
Authors:
Aritra Dasgupta, Robert Kosara
Session : Techniques
Date & Time : October 26 10:30 am - 12:10 pm
Location : Ballroom D
Chair : Jason Dykes
Papers :
Context-Preserving Visual Links
Authors:
Markus Steinberger, Manuela Waldner, Marc Streit, Alexander Lex, Dieter Schmalstieg
Design Study of LineSets, a Novel Set Visualization Technique
Authors:
Basak Alper, Nathalie Riche, Gonzalo Ramos, Mary Czerwinski
Developing and Evaluating Quilts for the Depiction of Large Layered Graphs
Authors:
Juhee Bae, Benjamin Watson
Arc Length-based Aspect Ratio Selection
Authors:
Justin Talbot, John Gerth, Pat Hanrahan
Asymmetric Relations in Longitudinal Social Networks
Authors:
Ulrik Brandes, Bobo Nick
Session : Systems and Frameworks
Date & Time : October 26 02:00 pm - 03:40 pm
Location : Ballroom D
Chair : Robert Kosara
Papers :
VisBricks: Multiform Visualization of Large, Inhomogeneous Data
Authors:
Alexander Lex, Hans-Joerg Schulz, Marc Streit, Christian Partl, Dieter Schmalstieg
D3: Data-Driven Documents
Authors:
Michael Bostock, Vadim Ogievetsky, Jeffrey Heer
Flexible Linked Axes for Multivariate Data Visualization
Authors:
Jarry H.T. Claessen, Jarke J. van Wijk
Synthetic Generation of High-dimensional Datasets
Authors:
Georgia Albuquerque, Thomas Löwe, Marcus Magnor
Session : Graphs
Date & Time : October 26 04:15 pm - 05:55 pm
Location : Ballroom D
Chair : Nathalie Henry-Riche
Papers :
Stereoscopic Highlighting: 2D Graph Visualization on Stereo Displays
Authors:
Basak Alper, Tobias Hollerer, JoAnn Kuchera-Morin, Angus Forbes
In Situ Exploration of Large Dynamic Networks
Authors:
Steffen Hadlak, Hans-Jrg Schulz, Heidrun Schumann
Parallel Edge Splatting for Scalable Dynamic Graph Visualization
Authors:
Michael Burch, Corinna Vehlow, Fabian Beck, Stephan Diehl, Daniel Weiskopf
Divided Edge Bundling for Directional Network Data
Authors:
David Selassie, Brandon Heller, Jeffrey Heer
Skeleton-Based Edge Bundling for Graph Visualization
Authors:
Ozan Ersoy, Christophe Hurter, Fernando Paulovich, Gabriel Cantareira, Alex Telea
Session : Applications
Date & Time : October 27 08:30 am - 10:10 am
Location : Ballroom D
Chair : Petra Isenberg
Papers :
BirdVis: Visualizing and Understanding Bird Populations
Authors:
Nivan Ferreira, Lauro Lins, Daniel Fink, Steve Kelling, Christopher Wood, Juliana Freire, Claudio Silva
BallotMaps: Detecting Name Bias in Alphabetically Ordered Ballot Papers
Authors:
Jo Wood, Donia Badawood, Jason Dykes, Aidan Slingsby
Sequence Surveyor: Leveraging Overview for Scalable Genomic Alignment Visualization
Authors:
Danielle Albers, Colin Dewey, Michael Gleicher
Visualization of Parameter Space for Image Analysis
Authors:
A. Johannes Pretorius, Mark-Anthony P. Bray, Anne E. Carpenter, Roy A. Ruddle
TextFlow: Towards Better Understanding of Evolving Topics in Text
Authors:
Weiwei Cui, Shixia Liu, Li Tan, Conglei Shi, Yangqiu Song, Zekai Gao, Xin Tong, Huamin Qu
Session : Times and Trees
Date & Time : October 27 10:30 am - 12:10 pm
Location : Ballroom D
Chair : Christopher Collins
Papers :
Exploratory Analysis of Time-series with ChronoLenses
Authors:
Jian Zhao, Fanny Chevalier, Emmanuel Pietriga, Ravin Balakrishnan
CloudLines: Compact Display of Event Episodes in Multiple Time-Series
Authors:
Milos Krstajic, Enrico Bertini, Daniel Keim
Evaluation of Traditional, Orthogonal, and Radial Tree Diagrams by an Eye Tracking Study
Authors:
Michael Burch, Julian Heinrich, Natalia Konevtsova, Markus Hoeferlin, Daniel Weiskopf
TreeNetViz: Revealing Patterns of Networks over Tree Structures
Authors:
Liang Gou, Xiaolong (Luke) Zhang
Improved Similarity Trees and their Application to Visual Data Classification
Authors:
José Gustavo Paiva, Laura Florian-Cruz, Helio Pedrini, Guilherme Telles, Rosane Minghim
Session : Evaluation
Date & Time : October 27 02:00 pm - 03:40 pm
Location : Ballroom D
Chair : Melanie Tory
Papers :
A Study on Dual-Scale Data Charts
Authors:
Petra Isenberg, Anastasia Bezerianos, Pierre Dragicevic, Jean-Daniel Fekete
Evaluation of Artery Visualizations for Heart Disease Diagnosis
Authors:
Michelle Borkin, Krzysztof Gajos, Amanda Peters, Dimitrios Mitsouras, Simone Melchionna, Frank Rybic
Exploring Ambient and Artistic Visualization for Residential Energy Use Feedback
Authors:
Johnny Rodgers, Lyn Bartram
Human-Centered Approaches in Geovisualization Design: Investigating Multiple Methods Through a Long-Term Case Study
Authors:
David Lloyd, Jason Dykes
Visual Thinking In Action: Visualizations As Used On Whiteboards
Authors:
Jagoda Walny, Sheelagh Carpendale, Nathalie Henry Riche, Gina Venolia, Philip Fawcett
Session : Maps and Geovisualization
Date & Time : October 27 04:15 pm - 05:55 pm
Location : Ballroom D
Chair : Danyel Fisher
Papers :
Composite Density Maps for Multivariate Trajectories
Authors:
Roeland Scheepens, Niels Willems, Huub van de Wetering, Gennady Andrienko, Natalia Andrienko, Jarke J. van Wijk
Authors:
Yu-Shuen Wang, Ming-Te Chi
Flow Map Layout via Spiral Trees
Authors:
Kevin Verbeek, Kevin Buchin, Bettina Speckmann
Exploring Uncertainty in Geodemographics with Interactive Graphics
Authors:
Aidan Slingsby, Jason Dykes, Jo Wood
Drawing Road Networks with Focus Regions
Authors:
Jan-Henrik Haunert, Leon Sering
Session : Multidimensional Visualization
Date & Time : October 28 08:30 am - 10:10 am
Location : Ballroom D
Chair : Carsten Görg
Papers :
Local Affine Multidimensional Projection
Authors:
Paulo Joia, Fernando V. Paulovich, Danilo Coimbra, Jose A. Cuminato, Luis G. Nonato
Abstract :
Multidimensional projection techniques have experienced many improvements
lately, mainly regarding computational times and accuracy. However, existing
methods do not yet provide flexible enough mechanisms for
visualization-oriented fully interactive applications. This work presents a
new multidimensional projection technique designed to be more flexible and
versatile than other methods. This novel approach, called Local Affine
Multidimensional Projection (LAMP), relies on orthogonal mapping theory to
build accurate local transformations that can be dynamically modified
according to user knowledge. The accuracy, flexibility and computational
efficiency of LAMP is confirmed by a comprehensive set of comparisons.
LAMP’s versatility is exploited in an application which seeks to correlate
data that, in principle, has no connection as well as in visual exploration
of textual documents.
Angular Histograms: Frequency-Based Visualizations for Large, High Dimensional Data
Authors:
Zhao Geng, ZhenMin Peng, Robert S.Laramee, Rick Walker, Jonathan C. Roberts
DICON: Interactive Visual Analysis of Multidimensional Clusters
Authors:
Nan Ca, David Gotz, Jimeng Sun, Huamin Qu
Abstract :
Clustering as a fundamental data analysis technique has been widely used in
many analytic applications. However, it is often difficult for users to
understand and evaluate multidimensional clustering results, especially the
quality of clusters and their semantics. For large and complex data,
high-level statistical information about the clusters is often needed for
users to evaluate cluster quality while a detailed display of
multidimensional attributes of the data is necessary to understand the
meaning of clusters. In this paper, we introduce DICON, an icon-based cluster
visualization that embeds statistical information into a multi-attribute
display to facilitate cluster interpretation, evaluation, and comparison. We
design a treemap-like icon to represent a multidimensional cluster, and the
quality of the cluster can be conveniently evaluated with the embedded
statistical information. We further develop a novel layout algorithm which
can generate similar icons for similar clusters, making comparisons of
clusters easier. User interaction and clutter reduction are integrated into
the system to help users more effectively analyze and refine clustering
results for large datasets. We demonstrate the power of DICON through a user
study and a case study in the healthcare domain. Our evaluation shows the
benefits of the technique, especially in support of complex multidimensional
cluster analysis.
Brushing Dimensions -- A Dual Visual Analysis Model for High-dimensional Data.
Authors:
Cagatay Turkay, Peter Filzmoser, Helwig Hauser
MoleView: An Attribute and Structure-based Semantic Lens for Large Element-based Plots
Authors:
Christophe Hurter, Ozan Ersoy, Alexandru Telea
Abstract :
We present MoleView, a novel technique for interactive exploration of
multivariate relational data. Given a spatial embedding of the data, in terms
of a scatter plot or graph layout, we propose a semantic lens which selects a
specific spatial and attribute-related data range. The lens keeps the
selected data in focus unchanged and continuously deforms the data out of the
selection range in order to maintain the context around the focus. Specific
deformations include distance-based repulsion of scatter plot points,
deforming straight-line node-link graph drawings, and as varying the
simplification degree of bundled edge graph layouts. Using a brushing-based
technique, we further show the applicability of our semantic lens for
scenarios requiring a complex selection of the zones of interest. Our
technique is simple to implement and provides real-time performance on large
datasets. We demonstrate our technique with actual data from air and road
traffic control, medical imaging, and software comprehension applications.
