Table of Contents

• VIS keynote address: An Evolving Visual LanguageDonna J. Cox. [doi]
• VIS capstone address: Architectures Physical and DigitalMolly Wright Steenson. [doi]
• Wavelet-based visualization of time-varying data on graphsPaola Valdivia, Fabio Dias, Fabiano Petronetto, Cláudio T. Silva, Luis Gustavo Nonato. 1-8 [doi]
• Mixed-initiative visual analytics using task-driven recommendationsKristin A. Cook, Nick Cramer, David Israel, Michael Wolverton, Joe Bruce, Russ Burtner, Alex Endert. 9-16 [doi]
• Integrating predictive analytics into a spatiotemporal epidemic simulationChris Bryan, Xue Wu, Susan M. Mniszewski, Kwan-Liu Ma. 17-24 [doi]
• Collaborative visual analysis with RCloudStephen C. North, Carlos Eduardo Scheidegger, Simon Urbanek, Gordon Woodhull. 25-32 [doi]
• Four considerations for supporting visual analysis in display ecologiesHaeyong Chung, Chris North, Sarang Joshi, Jian Chen. 33-40 [doi]
• Supporting activity recognition by visual analyticsMartin Rohlig, Martin Luboschik, Frank Krüger 0001, Thomas Kirste, Heidrun Schumann, Markus Bögl, Bilal Alsallakh, Silvia Miksch. 41-48 [doi]
• iVizTRANS: Interactive visual learning for home and work place detection from massive public transportation dataLiang Yu, Wei Wu, Xiaohui Li, Guangxia Li, Wee Siong Ng, See-Kiong Ng, Zhongwen Huang, Anushiya Arunan, Hui Min Watt. 49-56 [doi]
• DemographicVis: Analyzing demographic information based on user generated contentWenwen Dou, Isaac Cho, Omar ElTayeby, Jaegul Choo, Xiaoyu Wang, William Ribarsky. 57-64 [doi]
• EgoNetCloud: Event-based egocentric dynamic network visualizationQingsong Liu, Yifan Hu, Lei Shi, Xinzhu Mu, Yutao Zhang, Jie Tang. 65-72 [doi]
• FPSSeer: Visual analysis of game frame rate dataQuan Li, Peng Xu, Huamin Qu. 73-80 [doi]
• Comparative visual analysis of vector field ensemblesMihaela Jarema, Ismail Demir, Johannes Kehrer, Rüdiger Westermann. 81-88 [doi]
• Interactive visual steering of hierarchical simulation ensemblesRainer Splechtna, Kresimir Matkovic, Denis Gracanin, Mario Jelovic, Helwig Hauser. 89-96 [doi]
• Urbane: A 3D framework to support data driven decision making in urban developmentNivan Ferreira, Marcos Lage, Harish Doraiswamy, Huy T. Vo, Luc Wilson, Heidi Werner, Muchan Park, Cláudio T. Silva. 97-104 [doi]
• FeatureInsight: Visual support for error-driven feature ideation in text classificationMichael Brooks, Saleema Amershi, Bongshin Lee, Steven M. Drucker, Ashish Kapoor, Patrice Y. Simard. 105-112 [doi]
• VAST Challenge 2015: Mayhem at dinofun worldMark A. Whiting, Kristin A. Cook, Georges G. Grinstein, John Fallon, Kristen Liggett, Diane Staheli, R. Jordan Crouser. 113-118 [doi]
• VAST challenge 2015: Grand challenge - team VADER/VIS Award for Outstanding Comprehensive SubmissionMichael Steptoe, Robert Krüger, Yifan Zhang, Xing Liang, Rolando Garcia, Sagarika Kadambi, Wei Luo, Thomas Ertl, Ross Maciejewski. 119-120 [doi]
• Using visual analytics to provide situation awareness for movement and communication dataJuri Buchmüller, Fabian Fischer, Dirk Streeb, Daniel A. Keim. 121-122 [doi]
• ParkVis: A visual analytic system for anomaly detection in DinoFun WorldAbishek Puri, Dongyu Liu, Shaoyu Chen, Siwei Fu, Tianyu Wang, Yeukyin Chan, Huamin Qu. 123-124 [doi]
• Interactive analysis of movement and communication data by animationFelix Brodkorb, Johannes Heucher, Eugen Dundukov. 125-126 [doi]
• Applying visual analytics to explore and analyze movement dataEren Cakmak, Alexander Gartner, Thomas Hepp, Juri Buchmüller, Fabian Fischer, Daniel A. Keim. 127-128 [doi]
• Middguard at dinofun worldChristopher Andrews, Julian Billings. 129-130 [doi]
• Behavior analysis through collaborative visual exploration on trajectory dataTangzhi Ye, Youfeng Hao, Zhenhuang Wang, Chufan Lai, Siming Chen, Zongru Li, Jie Liang, Xiaoru Yuan. 131-132 [doi]
• VAST challenge 2015 solverBowen Yu, Bo Zhou. 133-134 [doi]
• Applying advanced analytic techniques to visually explore communication patterns in mobile dataJuncai Li, Quan Wang, Pin Luo, Yuan Zeng, Ying Zhao, Fangfang Zhou. 135-136 [doi]
• Visual analytics for detecting communication patternsWilliam Hatton, Jieqiong Zhao, Mahesh Babu Gorantla, Junghoon Chae, Benjamin Ahlbrand, Hanye Xu, Siqaio Chen, Guizhen Wang, Jiawei Zhang, Abish Malik, Sungahn Ko, David S. Ebert. 137-138 [doi]
• A collaborative visual analysis system for communication pattern discoveryJin Xu, Shuilin Ren, Yubo Tao, Hai Lin. 139-140 [doi]
• Rapid exploration and analysis of VAST 2015 "Mini-Challenge 2" datasetPranab Banerjee. 141-142 [doi]
• Group identification from visitor movement data: VAST 2015 mini-challenge 1Perakath C. Benjamin, Karthic Madanagopal, Kumar V. Akella, Kalyan Vadakkeveedu. 143-144 [doi]
• Case study of dino fun world movement and communication dataJordan Riley Benson, Rajiv Ramarajan, Nascif A. Abousalh-Neto, Paul Vezzetti. 145-146 [doi]
• Visualizing movement in theme parkYuanchao Cai, Karen Tay, Budi Winarta, Tin Seong Kam. 147-148 [doi]
• Visual analytics of heterogeneous data for criminal event analysis VAST challenge 2015: Grand challengeJunghoon Chae, Guizhen Wang, Benjamin Ahlbrand, Mahesh Babu Gorantla, Jiawei Zhang, Siqaio Chen, Hanye Xu, Jieqiong Zhao, William Hatton, Abish Malik, Sungahn Ko, David S. Ebert. 149-150 [doi]
• A methodology for classifying visitors to an amusement parkGustavo Dejean. 151-152 [doi]
• ParkVis: Visual analytic system for population movement in DinoFun WorldAbishek Puri, Dongyu Liu, Shaoyu Chen, Siwei Fu, Tianyu Wang, Yeukyin Chan, Huamin Qu. 153-154 [doi]
• ParkVis: Visual analytic system for communication data in DinoFun WorldAbishek Puri, Dongyu Liu, Shaoyu Chen, Siwei Fu, Tianyu Wang, Yeukyin Chan, Huamin Qu. 155-156 [doi]
• Exploring dinofun park happeningsPascal Held, Christian Braune, Rudolf Kruse. 157-158 [doi]
• On the move at DinoFun worldHeike Hofmann, Dianne Cook, Andee Kaplan, Eric Hare, Vianey Leos-Barajas, Carson Sievert, Samantha Tyner. 159-160 [doi]
• Visualizing communication patterns at DinoFun WorldHeike Hofmann, Dianne Cook, Andee Kaplan, Eric Hare, Vianey Leos-Barajas, Carson Sievert, Samantha Tyner. 161-162 [doi]
• Dynamic DinoFun World Communication GraphTing Li, Qi Liao. 163-164 [doi]
• Eagleyes: Performing data analysis using an interactive dataflowLiu Bin, Chen Gang. 165-166 [doi]
• Exploring trajectory data using ComVis CMV tool VAST 2015 Mini-Challenge 1Kresimir Matkovic, Denis Gracanin, Rainer Splechtna, Alexandra Diehl, Mai El-Shehaly, Claudio Delrieux. 167-168 [doi]
• Visual analytics for inspecting the evolution of a graph over time: Pattern discovery in a communication networkBruno Schneider, Carmela Acevedo, Juri Buchmüller, Fabian Fischer, Daniel A. Keim. 169-170 [doi]
• Using visual analytics to analyze movement and action patternsDirk Streeb, Udo Schlegel, Juri Buchmüller, Fabian Fischer, Daniel A. Keim. 171-172 [doi]
• [COMM]gregater: A toolset for temporal communication patterns and dynamic network structureHui Tang, Chao Pan, Bing Yu, Weidan Du, Shuang Wei, Mingran Li, Chen Guo, Longjie Cheng, Kai Hu, Rongrong Zhang, Xinzhe Li, Yingjie Victor Chen, Zhenyu Cheryl Qian, Yu Michael Zhu. 173-174 [doi]
• Spectrum: A visual analytics tool to explore movement logsJunPeng Wang, Ji Wang, Chris North. 175-176 [doi]
• CrowdAnalyzer: A collaborative visual analytic systemShuang Wei, Kai Hu, Longjie Cheng, Hui Tang, Weidan Du, Chen Guo, Chao Pan, Mingran Li, Bing Yu, Xinzhe Li, Yingjie Victor Chen, Zhenyu Cheryl Qian, Yu Michael Zhu. 177-178 [doi]
• ParkAnalyzer: Characterizing the movement patterns of visitors VAST 2015 Mini-Challenge 1Jieqiong Zhao, Guizhen Wang, Junghoon Chae, Hanye Xu, Siqaio Chen, William Hatton, Sherry Towers, Mahesh Babu Gorantla, Benjamin Ahlbrand, Jiawei Zhang, Abish Malik, Sungahn Ko, David S. Ebert. 179-180 [doi]
• Safety-oriented visual analytics of people movementJianlong Zhou, Jinjun Sun, Fang Chen, Xiuying Wang, Xianglin Miao. 181-182 [doi]
• Visual scalability of spatial ensemble uncertaintySujan Anreddy, Song Zhang, Andrew Mercer, Jamie Dyer, J. Edward Swan. 187-188 [doi]
• Visually and statistically guided imputation of missing values in univariate seasonal time seriesMarkus Bögl, Peter Filzmoser, Theresia Gschwandtner, Silvia Miksch, Wolfgang Aigner, Alexander Rind, Tim Lammarsch. 189-190 [doi]
• StreamVisND: Visualizing relationships in streaming multivariate dataShenghui Cheng, Yue Wang, Dan Zhang, Zhifang Jiang, Klaus Mueller. 191-192 [doi]
• A software developer's guide to informal evaluation of Visual Analytics environments using VAST Challenge informationKristin A. Cook, Jean Scholtz, Mark A. Whiting. 193-194 [doi]
• HTMVS: Visualizing hierarchical topics and their evolutionHaoling Dong, Siliang Tang, Si Li, Fei Wu, Yueting Zhuang. 195-196 [doi]
• Interactive semi-automatic categorization for spinel group mineralsMaria Luján Ganuza, Maria Florencia Gargiulo, Gabriela Ferracutti, Silvia Mabel Castro, Ernesto A. Bjerg, Eduard Gröller, Kresimir Matkovic. 197-198 [doi]
• A System for visual exploration of caution spots from vehicle recorder dataMasahiko Itoh, Daisaku Yokoyama, Masashi Toyoda, Masaru Kitsuregawa. 199-200 [doi]
• Visual Analytics for fraud detection and monitoringRoger A. Leite, Theresia Gschwandtner, Silvia Miksch, Erich Gstrein, Johannes Kuntner. 201-202 [doi]
• Visual analysis of route choice behaviour based on GPS trajectoriesMin Lu, Chufan Lai, Tangzhi Ye, Jie Liang, Xiaoru Yuan. 203-204 [doi]
• Using visualization and analysis with efficient dimension Reduction to determine underlying factors in hospital inpatient procedure costsMiriam Perkins, Yanlai Chen. 205-206 [doi]
• Topicks: Visualizing complex topic models for user comprehensionJessica Peter, Steve James Szigeti, Ana Jofre, Sara Diamond. 207-208 [doi]
• TimeStitch: Interactive multi-focus cohort discovery and comparisonPeter J. Polack, Shang-Tse Chen, Minsuk Kahng, Moushumi Sharmin, Duen Horng Chau. 209-210 [doi]
• Tell me what do you see: Detecting perceptually-separable visual patterns via clustering of image-space features in visualizationsKhairi Reda, Alberto Gonzalez, Jason Leigh, Michael E. Papka. 211-212 [doi]
• Sequencing of categorical time seriesChristian Richter, Martin Luboschik, Martin Rohlig, Heidrun Schumann. 213-214 [doi]
• Visual Pruner: Visually guided cohort selection for observational studiesLauren R. Samuels, Robert A. Greevy. 215-216 [doi]
• uRank: Visual analytics approach for search result explorationCecilia di Sciascio, Vedran Sabol, Eduardo E. Veas. 217-218 [doi]
• Evolution inspector: Interactive visual analysis for evolutionary molecular designVeronika Soltészová, Marco Foscato, Sondre H. Eliasson, Vidar R. Jensen. 219-220 [doi]
• Trending pool: Visual analytics for trending event compositions for time-series categorical log dataYi-Chih Tsai, Liang Chi Hsieh, Wen-Feng Cheng, Yin-Hsi Kuo, Winston H. Hsu, Wen-Chin Chen. 221-222 [doi]
• Visual data quality analysis for taxi GPS dataZuchao Wang, Xiaoru Yuan, Tangzhi Ye, Youfeng Hao, Siming Chen, Jie Liang, Qiusheng Li, Haiyang Wang, Yadong Wu. 223-224 [doi]