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- extended-abstractDecember 2024
Learning to Rank under Strategic "Brush Wars"
EC '24: Proceedings of the 25th ACM Conference on Economics and ComputationPage 841https://doi.org/10.1145/3670865.3673549We consider a dynamic learning and ranking problem of a digital platform. Uninformed of the products' intrinsic qualities, the platform strives to design a sequential ranking policy that learns from historical traffic data while accounting for potential ...
- ArticleJuly 2011
Visualizing the Effects of Logically Combined Filters
IV '11: Proceedings of the 2011 15th International Conference on Information VisualisationPages 47–52https://doi.org/10.1109/IV.2011.52Filtering data is an essential process in a drill-down analysis of large data sets. Filtering can be necessary for several reasons. The main objective for filters is to uncover the relevant subsets of a dataset. Another, equally relevant goal is to ...
- articleNovember 2010
- research-articleNovember 2010
Matching Visual Saliency to Confidence in Plots of Uncertain Data
IEEE Transactions on Visualization and Computer Graphics (ITVC), Volume 16, Issue 6Pages 980–989https://doi.org/10.1109/TVCG.2010.176Conveying data uncertainty in visualizations is crucial for preventing viewers from drawing conclusions based on untrustworthy data points. This paper proposes a methodology for efficiently generating density plots of uncertain multivariate data sets ...
- research-articleNovember 2009
Conjunctive Visual Forms
IEEE Transactions on Visualization and Computer Graphics (ITVC), Volume 15, Issue 6Pages 929–936https://doi.org/10.1109/TVCG.2009.129Visual exploration of multidimensional data is a process of isolating and extracting relationships within and between dimensions. Coordinated multiple view approaches are particularly effective for visual exploration because they support precise ...
- articleApril 2009
Visual Exploration of Three-Dimensional Gene Expression Using Physical Views and Linked Abstract Views
- Gunther H. Weber,
- Oliver Rubel,
- Min-Yu Huang,
- Angela H. DePace,
- Charless C. Fowlkes,
- Soile V. E. Keranen,
- Cris L. Luengo Hendriks,
- Hans Hagen,
- David W. Knowles,
- Jitendra Malik,
- Mark D. Biggin,
- Bernd Hamann
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Volume 6, Issue 2Pages 296–309https://doi.org/10.1109/TCBB.2007.70249During animal development, complex patterns of gene expression provide positional information within the embryo. To better understand the underlying gene regulatory networks, the Berkeley Drosophila Transcription Network Project (BDTNP) has developed ...
- research-articleNovember 2008
Brushing of Attribute Clouds for the Visualization of Multivariate Data
IEEE Transactions on Visualization and Computer Graphics (ITVC), Volume 14, Issue 6Pages 1459–1466https://doi.org/10.1109/TVCG.2008.116The visualization and exploration of multivariate data is still a challenging task. Methods either try to visualize all variables simultaneously at each position using glyph-based approaches or use linked views for the interaction between attribute ...
- ArticleJuly 2005
Interactive Visual Analysis of Multi-Parameter Families of Function Graphs
CMV '05: Proceedings of the Coordinated and Multiple Views in Exploratory VisualizationPages 54–62https://doi.org/10.1109/CMV.2005.10The paper describes a method developed for interactive datavisualization and exploration with applications in the automotiveindustry. The input data set contains a large number of functiongraphs. Each of the graphs is characterized by a set of ...
- ArticleApril 2005
Understanding research trends in conferences using paperLens
CHI EA '05: CHI '05 Extended Abstracts on Human Factors in Computing SystemsPages 1969–1972https://doi.org/10.1145/1056808.1057069PaperLens is a novel visualization that reveals trends, connections, and activity throughout a conference community. It tightly couples views across papers, authors, and references. PaperLens was developed to visualize 8 years (1995-2002) of InfoVis ...
- ArticleOctober 2003
Compound brushing
INFOVIS'03: Proceedings of the Ninth annual IEEE conference on Information visualizationPages 181–188This paper proposes a conceptual model called compound brushing for modeling the brushing techniques used in dynamic data visualization. In this approach brushing techniques are modeled as higraphs with five types of basic entities: data, selection, ...
- ArticleAugust 2003
Visualizing concept drift
KDD '03: Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data miningPages 735–740https://doi.org/10.1145/956750.956849We describe a visualization technique that uses brushed, parallel histograms to aid in understanding concept drift in multidimensional problem spaces. This technique illustrates the relationship between changes in distributions of multiple antecedent ...
- ArticleOctober 2002
Angular Brushing of Extended Parallel Coordinates
In this paper we present angular brushing for parallel coordinates (PC) as a new approach to highlighting rational data-properties, i.e., features which in a non-separable way depend on two data dimensions. We also demonstrate smooth brushing as an ...
- ArticleOctober 1998
- ArticleOctober 1995
High Dimensional Brushing for Interactive Exploration of Multivariate Data
Brushing is an operation found in many data visualization systems. It is a mechanism for interactively selecting subsets of the data so that they may be highlighted, deleted, or masked. Traditionally, brushes have been defined in screen space via ...
