IEEE VAST 2010: Salt Lake City, Utah, USA

Keynote

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

Visual-Computational Analysis of Multidimensional Data

• Stephen Ingram, Tamara Munzner, Veronika Irvine, Melanie Tory, Steven Bergner, Torsten Möller:
  DimStiller: Workflows for dimensional analysis and reduction. 3-10
  
• Malgorzata Migut, Marcel Worring:
  Visual exploration of classification models for risk assessment. 11-18
  
• 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
  
• Jaegul Choo, Hanseung Lee, Jaeyeon Kihm, Haesun Park:
  iVisClassifier: An interactive visual analytics system for classification based on supervised dimension reduction. 27-34
  
• 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
  
• Yu-Hsuan Chan, Carlos D. Correa, Kwan-Liu Ma:
  Flow-based scatterplots for sensitivity analysis. 43-50
  

Space, Time, and Multivariate Analytics

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

Text Analytics

• 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
  
• Lei Shi, Furu Wei, Shixia Liu, Li Tan, Xiaoxiao Lian, Michelle X. Zhou:
  Understanding text corpora with multiple facets. 99-106
  
• Haeyong Chung, Seungwon Yang, Naveed Massjouni, Christopher Andrews, Rahul Kanna, Chris North:
  VizCept: Supporting synchronous collaboration for constructing visualizations in intelligence analysis. 107-114
  
• Nicholas Diakopoulos, Mor Naaman, Funda Kivran-Swaine:
  Diamonds in the rough: Social media visual analytics for journalistic inquiry. 115-122
  
• Daniela Oelke, David Spretke, Andreas Stoffel, Daniel A. Keim:
  Visual readability analysis: How to make your writings easier to read. 123-130
  

Supporting Sensemaking

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

• Narges Mahyar, Ali Sarvghad, Melanie Tory:
  A closer look at note taking in the co-located collaborative visual analytics process. 171-178
  
• 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
  
• Heather Richter Lipford, Felesia Stukes, Wenwen Dou, Matthew E. Hawkins, Remco Chang:
  Helping users recall their reasoning process. 187-194
  
• 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
  
• 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

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

Panel

• 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

• Georges G. Grinstein, Shawn Konecni, Jean Scholtz, Mark A. Whiting, Catherine Plaisant:
  VAST 2010 Challenge: Arms dealings and pandemics. 263-264
  
• 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
  
• 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
  
• 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
  
• 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
  
• 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
  
• 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
  
• 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
  
• 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
  
• 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
  
• Kim Rees:
  Periscopic visualizes symptomatology of pandemic: VAST 2010 Mini Challenge 2 award: Effective visualization of symptoms. 283-284
  
• 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
  
• Manuel Freire, Awalin Sopan:
  Gene similarity uncovers mutation path VAST 2010 mini challenge 3 award: Innovative tool adaptation. 287-288
  
• 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
  
• 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
  

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