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IEEE VAST 2015: Chicago, IL, USA
- Min Chen, Gennady L. Andrienko:
10th IEEE Conference on Visual Analytics Science and Technology, IEEE VAST 2015, Chicago, IL, USA, October 25-30, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-9783-4 - Donna J. Cox:
VIS keynote address: An Evolving Visual Language. - Molly Wright Steenson:
VIS capstone address: Architectures Physical and Digital. - Paola Valdivia
, Fabio Dias, Fabiano Petronetto
Wavelet-based visualization of time-varying data on graphs. 1-8 - Kristin A. Cook, Nick Cramer, David J. Israel, Michael Wolverton, Joe Bruce, Russ Burtner
Mixed-initiative visual analytics using task-driven recommendations. 9-16 - Chris Bryan, Xue Wu, Susan M. Mniszewski
Integrating predictive analytics into a spatiotemporal epidemic simulation. 17-24 - Stephen C. North, Carlos Eduardo Scheidegger, Simon Urbanek
Collaborative visual analysis with RCloud. 25-32 - Haeyong Chung, Chris North, Sarang Joshi, Jian Chen:
Four considerations for supporting visual analysis in display ecologies. 33-40 - Martin Rohlig, Martin Luboschik, Frank Krüger
Supporting activity recognition by visual analytics. 41-48 - Liang Yu, Wei Wu, Xiaohui Li, Guangxia Li, Wee Siong Ng, See-Kiong Ng, Zhongwen Huang, Anushiya Arunan, Hui Min Watt:
iVizTRANS: Interactive visual learning for home and work place detection from massive public transportation data. 49-56 - Wenwen Dou, Isaac Cho, Omar ElTayeby
DemographicVis: Analyzing demographic information based on user generated content. 57-64 - Qingsong Liu, Yifan Hu, Lei Shi, Xinzhu Mu, Yutao Zhang, Jie Tang:
EgoNetCloud: Event-based egocentric dynamic network visualization. 65-72 - Quan Li
FPSSeer: Visual analysis of game frame rate data. 73-80 - Mihaela Jarema, Ismail Demir, Johannes Kehrer, Rüdiger Westermann:
Comparative visual analysis of vector field ensembles. 81-88 - Rainer Splechtna, Kresimir Matkovic
Interactive visual steering of hierarchical simulation ensembles. 89-96 - Nivan Ferreira
Urbane: A 3D framework to support data driven decision making in urban development. 97-104 - Michael Brooks, Saleema Amershi, Bongshin Lee, Steven Mark Drucker, Ashish Kapoor, Patrice Y. Simard:
FeatureInsight: Visual support for error-driven feature ideation in text classification. 105-112 - Mark A. Whiting, Kristin A. Cook, Georges G. Grinstein, John Fallon, Kristen Liggett, Diane Staheli, R. Jordan Crouser
VAST Challenge 2015: Mayhem at dinofun world. 113-118 - Michael Steptoe, Robert Krüger, Yifan Zhang, Xing Liang, Rolando Garcia, Sagarika Kadambi, Wei Luo
VAST challenge 2015: Grand challenge - team VADER/VIS Award for Outstanding Comprehensive Submission. 119-120 - Juri Buchmüller, Fabian Fischer, Dirk Streeb, Daniel A. Keim:
Using visual analytics to provide situation awareness for movement and communication data. 121-122 - Abishek Puri, Dongyu Liu
ParkVis: A visual analytic system for anomaly detection in DinoFun World. 123-124 - Felix Brodkorb, Johannes Heucher, Eugen Dundukov:
Interactive analysis of movement and communication data by animation. 125-126 - Eren Cakmak, Alexander Gartner, Thomas Hepp, Juri Buchmüller, Fabian Fischer, Daniel A. Keim:
Applying visual analytics to explore and analyze movement data. 127-128 - Christopher Andrews
Middguard at dinofun world. 129-130 - Tangzhi Ye, Youfeng Hao, Zhenhuang Wang, Chufan Lai, Siming Chen, Zongru Li, Jie Liang, Xiaoru Yuan
Behavior analysis through collaborative visual exploration on trajectory data. 131-132 - Bowen Yu, Bo Zhou:
VAST challenge 2015 solver. 133-134 - Juncai Li, Quan Wang, Pin Luo, Yuan Zeng, Ying Zhao, Fangfang Zhou:
Applying advanced analytic techniques to visually explore communication patterns in mobile data. 135-136 - William Hatton, Jieqiong Zhao
Visual analytics for detecting communication patterns. 137-138 - Jin Xu, Shuilin Ren, Yubo Tao, Hai Lin:
A collaborative visual analysis system for communication pattern discovery. 139-140 - Pranab Banerjee:
Rapid exploration and analysis of VAST 2015 "Mini-Challenge 2" dataset. 141-142 - Perakath C. Benjamin, Karthic Madanagopal
Group identification from visitor movement data: VAST 2015 mini-challenge 1. 143-144 - Jordan Riley Benson, Rajiv Ramarajan, Nascif A. Abousalh-Neto, Paul Vezzetti:
Case study of dino fun world movement and communication data. 145-146 - Yuanchao Cai, Karen Tay, Budi Winarta, Tin Seong Kam:
Visualizing movement in theme park. 147-148 - Junghoon Chae
Visual analytics of heterogeneous data for criminal event analysis VAST challenge 2015: Grand challenge. 149-150 - Gustavo Dejean:
A methodology for classifying visitors to an amusement park. 151-152 - Abishek Puri, Dongyu Liu, Shaoyu Chen, Siwei Fu, Tianyu Wang, Yeukyin Chan, Huamin Qu:
ParkVis: Visual analytic system for population movement in DinoFun World. 153-154 - Abishek Puri, Dongyu Liu, Shaoyu Chen, Siwei Fu, Tianyu Wang, Yeukyin Chan, Huamin Qu:
ParkVis: Visual analytic system for communication data in DinoFun World. 155-156 - Pascal Held, Christian Braune, Rudolf Kruse:
Exploring dinofun park happenings. 157-158 - Heike Hofmann
On the move at DinoFun world. 159-160 - Heike Hofmann
Visualizing communication patterns at DinoFun World. 161-162 - Ting Li, Qi Liao:
Dynamic DinoFun World Communication Graph. 163-164 - Bin Liu, Gang Chen:
Eagleyes: Performing data analysis using an interactive dataflow. 165-166 - Kresimir Matkovic
Exploring trajectory data using ComVis CMV tool VAST 2015 Mini-Challenge 1. 167-168 - Bruno Schneider, Carmela Acevedo, Juri Buchmüller, Fabian Fischer, Daniel A. Keim:
Visual analytics for inspecting the evolution of a graph over time: Pattern discovery in a communication network. 169-170 - Dirk Streeb, Udo Schlegel, Juri Buchmüller, Fabian Fischer, Daniel A. Keim:
Using visual analytics to analyze movement and action patterns. 171-172 - Hui Tang, Chao Pan, Bing Yu, Weidan Du, Shuang Wei, Mingran Li, Chen Guo
[COMM]gregater: A toolset for temporal communication patterns and dynamic network structure. 173-174 - Junpeng Wang, Ji Wang, Chris North:
Spectrum: A visual analytics tool to explore movement logs. 175-176 - Shuang Wei, Kai Hu, Longjie Cheng, Hui Tang, Weidan Du, Chen Guo
CrowdAnalyzer: A collaborative visual analytic system. 177-178 - Jieqiong Zhao
ParkAnalyzer: Characterizing the movement patterns of visitors VAST 2015 Mini-Challenge 1. 179-180 - Jianlong Zhou
Safety-oriented visual analytics of people movement. 181-182 - Sujan Anreddy, Song Zhang, Andrew Mercer, Jamie L. Dyer, J. Edward Swan II:
Visual scalability of spatial ensemble uncertainty. 187-188 - Markus Bögl
Visually and statistically guided imputation of missing values in univariate seasonal time series. 189-190 - Shenghui Cheng, Yue Wang, Dan Zhang, Zhifang Jiang, Klaus Mueller:
StreamVisND: Visualizing relationships in streaming multivariate data. 191-192 - Kristin A. Cook, Jean Scholtz, Mark A. Whiting:
A software developer's guide to informal evaluation of Visual Analytics environments using VAST Challenge information. 193-194 - Haoling Dong, Siliang Tang, Si Li, Fei Wu, Yueting Zhuang:
HTMVS: Visualizing hierarchical topics and their evolution. 195-196 - Maria Luján Ganuza
Interactive semi-automatic categorization for spinel group minerals. 197-198 - Masahiko Itoh, Daisaku Yokoyama, Masashi Toyoda, Masaru Kitsuregawa:
A System for visual exploration of caution spots from vehicle recorder data. 199-200 - Roger A. Leite, Theresia Gschwandtner
Visual Analytics for fraud detection and monitoring. 201-202 - Min Lu, Chufan Lai, Tangzhi Ye, Jie Liang, Xiaoru Yuan
Visual analysis of route choice behaviour based on GPS trajectories. 203-204 - Miriam Perkins, Yanlai Chen
Using visualization and analysis with efficient dimension Reduction to determine underlying factors in hospital inpatient procedure costs. 205-206 - Jessica Peter, Steve James Szigeti, Ana Jofre, Sara Diamond:
Topicks: Visualizing complex topic models for user comprehension. 207-208 - Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Moushumi Sharmin, Duen Horng Chau
TimeStitch: Interactive multi-focus cohort discovery and comparison. 209-210 - Khairi Reda, Alberto Gonzalez, Jason Leigh, Michael E. Papka
Tell me what do you see: Detecting perceptually-separable visual patterns via clustering of image-space features in visualizations. 211-212 - Christian Richter, Martin Luboschik, Martin Rohlig, Heidrun Schumann:
Sequencing of categorical time series. 213-214 - Lauren R. Samuels
Visual Pruner: Visually guided cohort selection for observational studies. 215-216 - Cecilia di Sciascio, Vedran Sabol, Eduardo E. Veas
uRank: Visual analytics approach for search result exploration. 217-218 - Veronika Soltészová, Marco Foscato
Evolution inspector: Interactive visual analysis for evolutionary molecular design. 219-220 - Yi-Chih Tsai, Liang-Chi Hsieh, Wen-Feng Cheng, Yin-Hsi Kuo, Winston H. Hsu, Wen-Chin Chen:
Trending pool: Visual analytics for trending event compositions for time-series categorical log data. 221-222 - Zuchao Wang, Xiaoru Yuan
Visual data quality analysis for taxi GPS data. 223-224
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