Table of Contents

• Visual cluster exploration of web clickstream dataJishang Wei, Zeqian Shen, Neel Sundaresan, Kwan-Liu Ma. 3-12 [doi]
• An adaptive parameter space-filling algorithm for highly interactive cluster explorationZafar Ahmed, Chris Weaver. 13-22 [doi]
• Inter-active learning of ad-hoc classifiers for video visual analyticsBenjamin Höferlin, Rudolf Netzel, Markus Höferlin, Daniel Weiskopf, Gunther Heidemann. 23-32 [doi]
• A correlative analysis process in a visual analytics environmentAbish Malik, Ross Maciejewski, Niklas Elmqvist, Yun Jang, David S. Ebert, Whitney Huang. 33-42 [doi]
• Visual pattern discovery using random projectionsAnushka Anand, Leland Wilkinson, Dang Tuan Nhon. 43-52 [doi]
• iLAMP: Exploring high-dimensional spacing through backward multidimensional projectionElisa Portes dos Santos Amorim, Emilio Vital Brazil, Joel Daniels II, Paulo Joia, Luis Gustavo Nonato, Mario Costa Sousa. 53-62 [doi]
• Subspace search and visualization to make sense of alternative clusterings in high-dimensional dataAndrada Tatu, Fabian Maass, Ines Färber, Enrico Bertini, Tobias Schreck, Thomas Seidl, Daniel A. Keim. 63-72 [doi]
• Just-in-time annotation of clusters, outliers, and trends in point-based data visualizationsEser Kandogan. 73-82 [doi]
• Dis-function: Learning distance functions interactivelyEli T. Brown, Jingjing Liu, Carla E. Brodley, Remco Chang. 83-92 [doi]
• LeadLine: Interactive visual analysis of text data through event identification and explorationWenwen Dou, Xiaoyu Wang, Drew Skau, William Ribarsky, Michelle X. Zhou. 93-102 [doi]
• Relative N-gram signatures: Document visualization at the level of character N-gramsMagdalena Jankowska, Vlado Keselj, Evangelos E. Milios. 103-112 [doi]
• The Deshredder: A visual analytic approach to reconstructing shredded documentsPatrick Butler, Prithwish Chakraborty, Naren Ramakrishnan. 113-122 [doi]
• Analyst's Workspace: An embodied sensemaking environment for large, high-resolution displaysChristopher Andrews, Chris North. 123-131 [doi]
• SocialNetSense: Supporting sensemaking of social and structural features in networks with interactive visualizationLiang Gou, Xiaolong (Luke) Zhang, Airong Luo, Patricia F. Anderson. 133-142 [doi]
• Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decompositionJunghoon Chae, Dennis Thom, Harald Bosch, Yun Jang, Ross Maciejewski, David S. Ebert, Thomas Ertl. 143-152 [doi]
• AlVis: Situation awareness in the surveillance of road tunnelsHarald Piringer, Matthias Buchetics, Rudolf Benedik. 153-162 [doi]
• Smart super views - A knowledge-assisted interface for medical visualizationGabriel Mistelbauer, Arnold Köchl, Hamed Bouzari, Stefan Bruckner, Rüdiger Schernthaner, Milos Srámek, Ivan Baclija, Eduard Gröller. 163-172 [doi]
• Visual analytics for the big data era - A comparative review of state-of-the-art commercial systemsLeishi Zhang, Andreas Stoffel, Michael Behrisch, Sebastian Mittelstädt, Tobias Schreck, René Pompl, Stefan Weber, Holger Last, Daniel A. Keim. 173-182 [doi]
• Visual analytics methods for categoric spatio-temporal dataTatiana Von Landesberger, Sebastian Bremm, Natalia V. Andrienko, Gennady L. Andrienko, Maria Tekusova. 183-192 [doi]
• Watch this: A taxonomy for dynamic data visualizationJoseph A. Cottam, Andrew Lumsdaine, Chris Weaver. 193-202 [doi]
• Information retrieval failure analysis: Visual analytics as a support for interactive "what-if" investigationMarco Angelini, Nicola Ferro, Guido Granato, Giuseppe Santucci, Gianmaria Silvello. 204-206 [doi]
• A visual analytics approach to understanding cycling behaviourRoger Beecham, Jo Wood, Audrey Bowerman. 207-208 [doi]
• Matrix-based visual correlation analysis on large timeseries dataMichael Behrisch, James Davey, Tobias Schreck, Daniel A. Keim, Jörn Kohlhammer. 209-210 [doi]
• Feature-similarity visualization of MRI cortical surface dataIan Bowman, Shantanu H. Joshi, Vaughan Greer, John Darrell Van Horn. 211-212 [doi]
• Augmenting visual representation of affectively charged information using sound graphsNadya A. Calderón, Bernhard E. Riecke, Brian Fisher. 213-214 [doi]
• Time-oriented visualization and anticipationCindy Chamberland, François Vachon, Jean-François Gagnon, Simon P. Banbury, Sébastien Tremblay. 215-216 [doi]
• Visualising variations in household energy consumptionSarah Goodwin, Jason Dykes. 217-218 [doi]
• Optimizing an SPT-tree for visual analyticsConnor Gramazio, Remco Chang. 219-220 [doi]
• Using translational science in visual analyticsTera Marie Green, Brian Fisher. 221-222 [doi]
• Incorporating GOMS analysis into the design of an EEG data visual analysis toolHua Guo, Diem Tran, David H. Laidlaw. 223-224 [doi]
• Exploring cyber physical data streams using Radial Pixel VisualizationsMing C. Hao, Manish Marwah, Sebastian Mittelstädt, Halldór Janetzko, Daniel A. Keim, Umeshwar Dayal, Cullen Bash, Carlos J. Felix, Chandrakant D. Patel, Meichun Hsu, Yuan Chen. 225-226 [doi]
• Exploring the impact of emotion on visual judgementLane Harrison, Remco Chang, Aidong Lu. 227-228 [doi]
• Visualizing flows of images in social mediaMasahiko Itoh, Masashi Toyoda, Tetsuya Kamijo, Masaru Kitsuregawa. 229-230 [doi]
• Using visual analytics to detect problems in datasets collected from photo-sharing servicesAlexander Kachkaev, Jo Wood. 231-232 [doi]
• A generic model for the integration of interactive visualization and statistical computing using RJohannes Kehrer, Roland N. Boubela, Peter Filzmoser, Harald Piringer. 233-234 [doi]
• The spatiotemporal multivariate hypercube for discovery of patterns in event dataFred Olislagers, Marcel Worring. 235-236 [doi]
• Priming Locus of Control to affect performanceAlvitta Ottley, R. Jordan Crouser, Caroline Ziemkiewicz, Remco Chang. 237-238 [doi]
• Visual exploration of local interest points in sets of time seriesTobias Schreck, Lyubka Sharalieva, Franz Wanner, Jürgen Bernard, Tobias Ruppert, Tatiana Von Landesberger, Benjamin Bustos. 239-240 [doi]
• Infographics at the Congressional Budget OfficeJonathan A. Schwabish. 241-242 [doi]
• A case study: Tracking and visualizing the evolution of dark matter halos and groups of satellite halos in cosmology simulationsJay Takle, Deborah Silver, Katrin Heitmann. 243-244 [doi]
• VDQAM: A toolkit for database quality evaluation based on visual morphologyDongxing Teng, Haiyan Yang, CuiXia Ma, Hongan Wang. 245-246 [doi]
• LensingWikipedia: Parsing text for the interactive visualization of human historyRavikiran Vadlapudi, Maryam Siahbani, Anoop Sarkar, John Dill. 247-248 [doi]
• VAST Challenge 2012: Visual analytics for big dataKristin A. Cook, Georges G. Grinstein, Mark A. Whiting, Michael Cooper, Paul Havig, Kristen Liggett, Bohdan A. Nebesh, Celeste Lyn Paul. 251-255 [doi]
• BANKSAFE: A visual situational awareness tool for large-scale computer networks: VAST 2012 challenge award: Outstanding comprehensive submission, including multiple vizesFabian Fischer, Johannes Fuchs, Florian Mansmann, Daniel A. Keim. 257-258 [doi]
• SemanticPrism: A multi-aspect view of large high-dimensional data: VAST 2012 Mini Challenge 1 award: Outstanding integrated analysis and visualizationYingjie Victor Chen, Ahmad M. Razip, Sungahn Ko, Zhenyu Cheryl Qian, David S. Ebert. 259-260 [doi]
• BusinessForensics HQ: VAST Challenge Mini Challenge 1 award: "Good visualization"Robert Pabst. 261-262 [doi]
• Visual analytics for situation awareness of a large-scale network: VAST 2012 Mini Challenge #1 award: "Effective video presentation"Chris Horn, Chris Ellsworth. 263-264 [doi]
• M-Sieve: A visualisation tool for supporting network security analysts: VAST 2012 Mini Challenge 1 award: "Subject matter expert's award"Sharmin (Tinni) Choudhury, Neesha Kodagoda, Phong Nguyen, Chris Rooney, Simon Attfield, Kai Xu, Y. Zheng, B. L. William Wong, Raymond Chen, Glenford E. Mapp, L. Slabbert, Mahdi Aiash, Aboubaker Lasebae. 265-266 [doi]
• OWLAP - Using OLAP approach in anomaly detection: Award: Good support for the data preparation, analysis, and presentation processL. Dudas, Zsolt Fekete, J. Gobolos-Szabo, A. Radnai, A. Salanki, A. Szabo, G. Szucs. 267-268 [doi]
• Monitoring the health of computer networks with visualization: VAST 2012 Mini Challenge 1 award: "Efficient use of visualization"A. Kachkaev, Iain Dillingham, R. Beecham, S. Goodwin, N. Ahmed, Aidan Slingsby. 269-270 [doi]
• Visualizing large scale patterns and anomalies in geospatial data: VAST 2012 Mini Challenge #1 award: Honorable mention for good visual designRobert F. Stärk, Arthur Wollocko, Michael Borys, Megan Kierstead, Michael Farry. 271-272 [doi]
• SitaVis - Interactive situation awareness visualization of large datasets: VAST 2012 Mini Challenge 1 award: Honorable mention for good situational awareness snapshotFrancis C. B. Williams, William J. Faithfull, Jonathan C. Roberts. 273-274 [doi]
• Enhancing the "think loop process" with consistent interactions: VAST 2012 Mini Challenge 1 award: Honorable mention for good interaction techniquesLya Laberge, Sid Kaul, Naomi Anderson, Charles Agnew, David Goldstein, Jake Kolojejchick. 275-276 [doi]
• HIVEBEAT - A highly interactive visualization environment for broad-scale exploratory analysis and tracing: VAST 2012 Mini Challenge 1 award: Honorable mention for comprehensive visualization suiteRobert Krüger, Harald Bosch, Steffen Koch, Christoph Müller, Guido Reina, Dennis Thom, Thomas Ertl. 277-278 [doi]
• Investigating network traffic through compressed graph visualization: VAST 2012 Mini Challenge 2 award: "Good adaptation of graph analysis techniques"Lei Shi, Qi Liao, Chunxin Yang. 279-280 [doi]
• NetSecRadar: A real-time visualization system for network security: VAST 2012 Mini Challenge. Award: Honorable mention for interesting use of radial visualization techniqueYing Zhao, Fangfang Zhou, Ronghua Shi. 281-282 [doi]
• Dynamic analysis of large datasets with animated and correlated views: VAST 2012 Mini Challenge # award: Honorable mention for good use of coordinated displaysYong Cao, Reese Moore, Peng Mi, Alex Endert, Chris North, Randy C. Marchany. 283-284 [doi]
• Big data exploration through visual analyticsNascif A. Abousalh-Neto, Sumeyye Kazgan. 285-286 [doi]
• VAST 2012 Mini-Challenge 2: Chart- and Matrix-based approach to network operations forensicsJan Hildenbrand, Daniel-Ionut Paval, Prakash Thapa, Christian Rohrdantz, Florian Mansmann, Enrico Bertini, Tobias Schreck. 287-288 [doi]
• Pixel-oriented Treemap for multiple displaysHaeyong Chung, Yong Ju Cho, Jessica Self, Chris North. 289-290 [doi]
• 3D anomaly bar visualization for large-scale network: VAST 2012 Mini Challenge #1Tao Zhang, Qi Liao, Lei Shi. 291-292 [doi]
• Network infrastructure visualisation using high-dimensional node-attribute dataHelen Gibson, Paul Vickers. 293-294 [doi]
• Combining traditional and high-density visualizations in a dashboard to network health monitoringYussif Barcelos, Flavia Aburjaile, Laura R. Leite, Solange T. Oliveira, Raquel C. de Melo-MinarcTi. 295-296 [doi]
• VAST Challenge 2012: Interactively finding anomalies in geo-temporal multivariate dataGosia Migut, Justin van Wees, Diederik Bakker, Bart de Goede, Haska Steltenpohl, Nick Oude Lenferink, Marcel Worring. 297-298 [doi]
• Agile visual analytics for banking cyber "big data"David Jonker, Scott Langevin, Peter Schretlen, Casey M. Canfield. 299-300 [doi]
• Visual analytics for network securityGeorgiy Shurkhovetskyy, Ahmed Bahey, Mohammad Ghoniem. 301-302 [doi]
• Federating geovisual analytic tools for cyber security analysisMingyi Zhao, Chen Zhong, Richard Ciamaichelo, Michael Konek, Neela Sawant, Nicklaus A. Giacobe. 303-304 [doi]
• Irregular Trend Finder: Visualization tool for analyzing time-series big dataShinnosuke Takeda, Aimi Kobayashi, Hiroaki Kobayashi, Saori Okubo, Kazuo Misue. 305-306 [doi]
• situ: Situational understanding and discovery for cyber attacksLane Harrison, Jason Laska, Riley Spahn, Michael D. Iannacone, Evan Downing, Erik M. Ferragut, John R. Goodall. 307-308 [doi]