Keynote

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  Luis A. Nunes Amaral: Keynote address: How will big pictures emerge from a sea of [...] biological data?

Visual-Computational Analysis of Multidimensional Data

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  Stephen Ingram, Tamara Munzner, Veronika Irvine, Melanie Tory, Steven Bergner, Torsten Möller: DimStiller: Workflows for dimensional analysis and reduction. 3-10
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  Malgorzata Migut, Marcel Worring: Visual exploration of classification models for risk assessment. 11-18
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  Georgia Albuquerque, Martin Eisemann, Dirk J. Lehmann, Holger Theisel, Marcus A. Magnor: Improving the visual analysis of high-dimensional datasets using quality measures. 19-26
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  Jaegul Choo, Hanseung Lee, Jaeyeon Kihm, Haesun Park: iVisClassifier: An interactive visual analytics system for classification based on supervised dimension reduction. 27-34
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  Bilkis J. Ferdosi, Hugo Buddelmeijer, Scott Trager, Michael H. F. Wilkinson, Jos B. T. M. Roerdink: Finding and visualizing relevant subspaces for clustering high-dimensional astronomical data using connected morphological operators. 35-42
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  Yu-Hsuan Chan, Carlos D. Correa, Kwan-Liu Ma: Flow-based scatterplots for sensitivity analysis. 43-50

Space, Time, and Multivariate Analytics

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  Zicheng Liao, Yizhou Yu, Baoquan Chen: Anomaly detection in GPS data based on visual analytics. 51-58
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  Gennady L. Andrienko, Natalia V. Andrienko, Martin Mladenov, Michael Mock, Christian Pölitz: Discovering bits of place histories from people's activity traces. 59-66
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  Supriya Garg, I. V. Ramakrishnan, Klaus Mueller: A visual analytics approach to model learning. 67-74
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  Chris Weaver: Multidimensional data dissection using attribute relationship graphs. 75-82
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  Hartmut Ziegler, Marco Jenny, Tino Gruse, Daniel A. Keim: Visual market sector analysis for financial time series data. 83-90

Text Analytics

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  Patrick Oesterling, Gerik Scheuermann, Sven Teresniak, Gerhard Heyer, Steffen Koch, Thomas Ertl, Gunther H. Weber: Two-stage framework for a topology-based projection and visualization of classified document collections. 91-98
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  Lei Shi, Furu Wei, Shixia Liu, Li Tan, Xiaoxiao Lian, Michelle X. Zhou: Understanding text corpora with multiple facets. 99-106
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  Haeyong Chung, Seungwon Yang, Naveed Massjouni, Christopher Andrews, Rahul Kanna, Chris North: VizCept: Supporting synchronous collaboration for constructing visualizations in intelligence analysis. 107-114
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  Nicholas Diakopoulos, Mor Naaman, Funda Kivran-Swaine: Diamonds in the rough: Social media visual analytics for journalistic inquiry. 115-122
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  Daniela Oelke, David Spretke, Andreas Stoffel, Daniel A. Keim: Visual readability analysis: How to make your writings easier to read. 123-130

Supporting Sensemaking

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  Zhicheng Liu, Bongshin Lee, Srikanth Kandula, Ratul Mahajan: NetClinic: Interactive visualization to enhance automated fault diagnosis in enterprise networks. 131-138
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  Brian M. Tomaszewski, Alan M. MacEachren: Geo-historical context support for information foraging and sensemaking: Conceptual model, implementation, and assessment. 139-146
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  Nadia Boukhelifa, Fanny Chevalier, Jean-Daniel Fekete: Real-time aggregation of Wikipedia data for visual analytics. 147-154
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  Yang Chen, Scott Barlowe, Jing Yang: Click2Annotate: Automated Insight Externalization with rich semantics. 155-162
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  Jing Jin, Pedro A. Szekely: Interactive querying of temporal data using a comic strip metaphor. 163-170

Collaborative Analytics, Understanding Users and the Analytic Process

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  Narges Mahyar, Ali Sarvghad, Melanie Tory: A closer look at note taking in the co-located collaborative visual analytics process. 171-178
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  Petra Isenberg, Danyel Fisher, Meredith Ringel Morris, Kori Inkpen, Mary Czerwinski: An exploratory study of co-located collaborative visual analytics around a tabletop display. 179-186
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  Heather Richter Lipford, Felesia Stukes, Wenwen Dou, Matthew E. Hawkins, Remco Chang: Helping users recall their reasoning process. 187-194
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  Wenwen Dou, Caroline Ziemkiewicz, Lane Harrison, Dong Hyun Jeong, Roxanne Ryan, William Ribarsky, Xiaoyu Wang, Remco Chang: Comparing different levels of interaction constraints for deriving visual problem isomorphs. 195-202
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  Tera Marie Green, Brian D. Fisher: Towards the Personal Equation of Interaction: The impact of personality factors on visual analytics interface interaction. 203-210

Posters

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  Gennady L. Andrienko, Natalia V. Andrienko: Poster: Dynamic time transformation for interpreting clusters of trajectories with space-time cube. 213-214
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  Wolfgang Berger, Harald Piringer: Interactive visual analysis of multiobjective optimizations. 215-216
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  Jürgen Bernard, Tatiana von Landesberger, Sebastian Bremm, Tobias Schreck: Cluster correspondence views for enhanced analysis of SOM displays. 217-218
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  Stephanie Dudzic, J. Alex Godwin, Ryan M. Kilgore: Visualization of temporal relationships within coordinated views. 219-220
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  J. Alex Godwin, Ryan M. Kilgore: Conveying network features in geospatial battlespace displays. 221-222
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  Tera Marie Green, Ross Maciejewski, Steve DiPaola: ALIDA: Using machine learning for intent discernment in visual analytics interfaces. 223-224
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  Moshe Gutman, Gina Eosco, Monica Zappa, Chris Weaver: Enhancing text-based chat with visuals for hazardous weather decision making. 225-226
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  Ming C. Hao, Manish Marwah, Halldor Janetzko, Daniel A. Keim, Umeshwar Dayal, Ratnesh K. Sharma, Debprakash Patnaik, Naren Ramakrishnan: Visual analysis of frequent patterns in large time series. 227-228
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  Orland Hoeber, Garnett Carl Wilson, Simon Harding, René Enguehard, Rodolphe Devillers: Visually representing geo-temporal differences. 229-230
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  Dong Hyun Jeong, Evan A. Suma, Thomas Butkiewicz, William Ribarsky, Remco Chang: A continuous analysis process between desktop and collaborative visual analytics environments. 231-232
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  Minoo Erfani Joorabchi, Ji-Dong Yim, Christopher D. Shaw: EmailTime: Visual analytics of emails. 233-234
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  Minoo Erfani Joorabchi, Ji-Dong Yim, Mona Erfani Joorabchi, Christopher D. Shaw: Enron case study: Analysis of email behavior using EmailTime. 235-236
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  Shantanu H. Joshi, Ian Bowman, John D. Van Horn: Large-scale neuroanatomical visualization using a manifold embedding approach. 237-238
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  Thorsten May, James Davey, Jörn Kohlhammer: Combining statistical independence testing, visual attribute selection and automated analysis to find relevant attributes for classification. 239-240
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  Marielle Mokhtari, Eric Boivin, Denis Laurendeau, Maxime Girardin: Visual tools for dynamic analysis of complex situations. 241-242
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  Eric E. Monson, Guangliang Chen, Rachel Brady, Mauro Maggioni: Data representation and exploration with Geometric Wavelets. 243-244
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  Maryam Nafari, Chris Weaver: Poster: Translating cross-filtered queries into questions. 245-246
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  Derek Overby, John Keyser, Jim Wall: ProDV - A case study in delivering visual analytics. 247-248
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  William C. Ray: A Visual Analytics approach to identifying protein structural constraints. 249-250
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  Tobias Ruppert, Jörn Kohlhammer: A radial visualization tool for depicting hierarchically structured video content. 251-252
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  Justin Talbot, Pat Hanrahan: Adapting Daniel and Wood's modeling approach to interactive visual analytics. 253-254

Panel

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  Richard May, Pat Hanrahan, Daniel A. Keim, Ben Shneiderman, Stuart K. Card: The state of visual analytics: Views on what visual analytics is and where it is going. 257-259

Challenge

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  Georges G. Grinstein, Shawn Konecni, Jean Scholtz, Mark A. Whiting, Catherine Plaisant: VAST 2010 Challenge: Arms dealings and pandemics. 263-264
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  C. Campbell, S. Blanchard, S. Chin, C. Henderson, M. Holland, K. Jennings, P. Kuehl, D. Lucey, M. McCoy, J. McCracken, B. Pecheux, M. Pietrzak, D. Roberts, M. Sanders, K. Taylor, D. Whitford, R. P. DiMassimo: Multi-viz data fusion VAST 2010 Grand Challenge award: Outstanding debrief. 265-266
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  Dustin Dunsmuir, Mahshid Z. Baraghoush, Victor Y. Chen, Minoo Erfani Joorabchi, Mona Erfani Joorabchi, Saba Alimadadi, Eric Lee, John Dill, Cheryl Z. Qian, Christopher D. Shaw, Robert F. Woodbury: CZSaw, IMAS & Tableau: Collaboration among teams: VAST 2010 Grand Challenge award: Excellent student team analysis. 267-268
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  Lei Shi, Weihong Qian, Furu Wei, Li Tan: VisWorks text and network visual analytics: VAST 2010 Mini Challenge 1 award: "Effective interactive visualization of document contents". 269-270
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  Zhicheng Liu, Carsten Görg, Jaeyeon Kihm, Hanseung Lee, Jaegul Choo, Haesun Park, John T. Stasko: Data ingestion and evidence marshalling in Jigsaw VAST 2010 Mini Challenge 1 award: Good support for data ingest. 271-272
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  Pascale Proulx, Adeel Khamisa, Robert Harper: Integrated visual analytics workflow with GeoTime and nSpace VAST 2010 mini challenge 1 award: Outstanding Analysis and Accuracy. 273-274
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  Victor Y. Chen, Dustin Dunsmuir, Saba Alimadadi, Eric Lee, Jeffrey Guenther, John C. Dill, Cheryl Z. Qian, Christopher D. Shaw, Maureen C. Stone, Robert F. Woodbury: Model based interactive analysis of interwoven, imprecise narratives: VAST 2010 mini challenge 1 award: Outstanding interaction model. 275-276
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  Andrada Astefanoaie, Rodica Bozianij, Marc Broghammer, Roland Jungnickel, Christian Rohrdantz, Juergen Schniertshauer, David Spretke, Peter Bak: Visual analytics of a pandemic spread: VAST 2010 Mini Challenge 2 award: Thorough description of analytic process. 277-278
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  Rick Walker, Llyr ap Cenydd, Serban Pop, Jonathan C. Roberts: VASTvis - Visual analytics with multiple coordinated views: VAST 2010 Mini Challenge 2 award: Good analytic process and explanation. 279-280
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  Abish Malik, Shehzad Afzal, Erin Hodgess, David S. Ebert, Ross Maciejewski: VACCINATED - Visual analytics for characterizing a pandemic spread VAST 2010 Mini Challenge 2 award: Support for future detection. 281-282
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  Kim Rees: Periscopic visualizes symptomatology of pandemic: VAST 2010 Mini Challenge 2 award: Effective visualization of symptoms. 283-284
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  Jo Wood, Aidan Slingsby, Jason Dykes: Designing visual analytics systems for disease spread and evolution: VAST 2010 mini challenge 2 and 3 award: Good overall design and analysis. 285-286
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  Manuel Freire, Awalin Sopan: Gene similarity uncovers mutation path VAST 2010 mini challenge 3 award: Innovative tool adaptation. 287-288
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  Harshawardhan Nene: A statistical approach to measuring alignment of genetic sequences and determining critical mutations in a viral gene sequence: VAST 2010 Mini challenge 3 award: Innovative visualization. 289-290
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  Hanseung Lee, Jaegul Choo, Carsten Görg, Jaeeun Shim, Jaeyeon Kihm, Zhicheng Liu, Haesun Park, John T. Stasko: GeneTracer: Gene sequence analysis of disease mutations VAST 2010 mini challenge 3 award: Excellent process explanation. 291-292

last updated on Sun May 26 04:07:26 2013 by the dblp team
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