IEEE VAST 2014 论文概览

发布于 作者:

最近论文压力太大，压得我生活不能自理。越是压力大，越是憋不出来。先看看最近VAST大会上大家都在研究啥，再来继续憋我的新文章内容吧。

refrence： vast2014 papers on the web  ，maintained by Zhiyu Ding from Visual Analytics Group, State Key Laboratory of CAD&CG, Zhejiang University, P.R.China. 

Submitted: 146 Accepted: 33 Acceptance Rate: 22.6%

1. Fundamentals of Visual Analytics 可视分析基础研究

  • Knowledge Generation Model for Visual Analytics Dominik Sacha (University of Konstanz), Andreas Stoffel, Florian Stoffel, Bum Chul Kwon, Geoffrey Ellis, Daniel Keim (University of Konstanz)——可视分析的知识生成模型

  • INFUSE: Interactive Feature Selection for Predictive Modelling of High Dimensional Data Josua Krause (New York University),Adam Perer,Enrico Bertini(New York University)——为高维数据的预测模型开发的交互式特征选择器

  • Transforming Scagnostics to Reveal Hidden Features Tuan Dang (University of Illinois at Chicago), Leland Wilkinson (University of Illinois at Chicago)——发现影藏特征的变形侦测法

  • Towards Interactive, Intelligent, and Integrated Multimedia Analytics  Jan Zahálka (University of Amsterdam), Marcel Worring(University of Amsterdam)——互动，智能化，集成的多媒体分析

2. Empowering Users in Visual Analytics 可视分析中的用户强化

3. Clustering and Classification 聚类和分类

  • Visual Abstraction and Exploration of Multi-class Scatterplots ,Haidong Chen (Zhejiang University), Wei Chen (Zhejiang University),Honghui Mei (Zhejiang University),Zhiqi Liu (Zhejiang University),Kun Zhou (Zhejiang University),Weifeng Chen,Wentao Gu,Kwan-Liu Ma (University of California at Davis) ——多类散点图的视觉抽象和探索

    散点图（scatterplot）是一种使用非常广泛的可视化技术，常用于聚类分析、离群点分析、相关性分析等。多类散点图（multi-class scatterplot）作为散点图的一种扩展，其常用于比较分析应用。然而，随着数据规模的增大，有限的屏幕空间所造成的散点覆叠（overdraw）问题极大地限制了用户对可视化结果的正确感知。本文提出了一种基于多类蓝噪声采样的方法实现多类散点数据的可视简化。为了增强简化结果的感知，本文还提出了一个散点颜色优化模型和一些散点形状设计方案。上图中是不同多类散点图可视化方法比较。(a) 传统多类散点图；(b) Splatterplots；(c) 采用噪声增强的Splatterplots；(d) 我们的方法。

  • Cupid: Cluster-based Exploration of Geometry Generators with Parallel Coordinates and Radial Trees ,Michael Beham ,Wolfgang Herzner,Eduard Gröller,Leanna House,Johannes Kehrer(TUM)—— 丘比特：基于平行坐标和径向树的几何生成器的探索集群

  • Visual Methods for Analyzing Probabilistic Classification Data  ,Bilal Alsallakh(The Vienna University of Technology) , Allan Hanbury, Helwig Hauser,Silvia Miksch,Andreas Rauber(The Vienna University of Technology)—— 分析概率分类数据的可视化方法

  • A Five-Level Design Framework for Bicluster Visualizations ,Maoyuan Sun(Virginia Tech), Chris North , Naren Ramakrishnan(Virginia Tech)，VarifocalReader -- In-Depth Visual Analysis of Large Text Documents ,Steffen Koch(University of Stuttgart), Markus John, Michael Wörner , Andreas Müller, Thomas Ertl(University of Stuttgart) ——一个为双聚类可视化设计的5层框架

4.Visual Analytics in Societal Applications 社交应用中的可视分析

  • [VAST HONORABLE MENTION AWARD]LoyalTracker: Visualizing Loyalty Dynamics in Search Engines，Conglei Shi (Hong Kong University of Science and Technoledge), Yingcai Wu, Shixia Liu,Hong Zhou,Huamin Qu((Hong Kong University of Science and Technoledge) ——客户忠诚度追踪器：在搜索引擎中的用户忠诚度可视化

    通过与搜索引擎领域相关的专家合作，我们设计了如下的动态流图（Flow View）以展现用户在使用不同搜索引擎时的忠诚度变化。图中颜色的深浅用于代表用户忠诚度的高低，流图中每条带子的宽度表示相应忠诚度下用户的数量。通过在带子上添加分支，LoyalTracker可以帮助专家有效地理解当前搜索引擎中用户忠诚度的分布和不同忠诚度的用户在使用搜索引擎时候的动态转变行为。

  • VAET: A Visual Analytics Approach for E-transactions Time-series，Cong Xie (Zhejiang University),Wei Chen (Zhejiang University),Xinxin Huang ,Yueqi Hu,Scott Barlowe,Jing Yang (University of North Carolina at Charlotte)——电子交易时间序列的可视化分析方法

  • EvoRiver: Visual Analysis of Topic Coopetition on Social Media ，Guodao Sun (Zhejiang University of Technology), Yingcai Wu, Shixia Liu, Tai-Quan Peng, Jonathan Zhu, Ronghua Liang(Zhejiang University of Technology)——EvoRiver：社交媒体上主题竞争的可视分析

  • OpinionFlow: Visual Analysis of Opinion Diffusion on Social Media ，Yingcai Wu(MSRA), Shixia Liu, Kai Yan, Mengchen Liu, Fangzhao Wu ——意见流：社交媒体上舆论扩散的可视分析

  • [VAST HONORABLE MENTION AWARD]#FluxFlow: Visual Analysis of Anomalous Information Spreading on Social Media ，Jian Zhao(University of Toronto), Nan Cao, Zhen Wen, Yale Song, Yu-Ru Lin, Christopher Collins —— FluxFlow:社交媒体之上异常信息扩散的可视分析

5. Visual Analytics of Spatiotemporal Activities 时空活动的可视分析

  • Feature Driven Visual Analytics of Soccer Data Halldór Janetzko (University of Konstanz), Dominik Sacha, Manuel Stein, Tobias Schreck, Oliver Deussen, Daniel Keim(University of Konstanz)——特征驱动的足球是数据可视化分析

  • Baseball4D: A Tool for Baseball Game Reconstruction & Visualization，Carlos Dietrich,David Koop, Huy Vo, Claudio Silva(New York University)——baseball4d：一种棒球游戏重建与可视化工具

  • A System for Visual Analysis of Radio Signal Data  Tarik Crnovrsanin(University of California at Davis) , Chris Muelder, Kwan-Liu Ma(University of California at Davis)——一种无线电信号的数据可视化分析系统

  • Feedback-Driven Interactive Exploration of Large Multidimensional Data Supported by Visual Classifier， Michael Behrisch, Fatih Korkmaz, Lin Shao, Tobias Schreck(University of Konstanz)——支持可视化分类器的反馈驱动的大型多为数据交互式探索工具

  • An Integrated Visual Analysis System for Fusing MR Spectroscopy and Multi-Modal Radiology Imaging， Miguel Nunes, Benjamin Rowland, Matthias Schlachter, Soleakhena Ken, Krešimir Matković, Anne Laprie, Katja Bühler(VRVIS)——一个融合MR光谱学和多模态辐射成像的交互式可视分析系统

6. Visual Analysis of Relationships 关系的可视分析

  • An Insight- and Task-based Methodology for Evaluating Spatiotemporal Visual Analytics，Steven Gomez, Hua Guo, Caroline Ziemkiewicz, David H. Laidlaw(Brown University)——评价时空可视化分析的一种基于洞察力和任务的方法

  • Weaving a Carpet from Log Entries: a Network Security Visualization Built with Co-Creation  ，Johannes Landstorfer ,Ivo Herrmann, Jan-Erik Stange, Marian Dörk, Reto Wettach —— 以日志条目编制地毯：一个共同创立的网络安全可视化工程

  • Analyzing High-dimensional Multivariate Network Links with Integrated Anomaly Detection, Highlighting and Exploration  ，Sungahn Ko(Purdue University), Shehzad Afzal, Simon Walton, Yang Yang, Junghoon Chae, Abish Malik, Yun Jang, Min Chen, David Ebert(Purdue University)——通过集成的异常检测、高亮与探索方法分析高纬度多类别的网络链接

  • Visual Analysis of Patterns in Multiple Amino Acid Mutation Graphs ，Olav Lenz(University of Stuttgart), Simon Attfield, Frank Keul, Sebastian Bremm, Kay Hamacher, Tatiana von Landesberger(Technische University Darmstadt)——在多个氨基酸突变图中的模式可视化分析

  • A Visual Reasoning Approach for Data-driven Transport Assessment on Urban Roads，Fei Wang(Zhejiang University), Wei Chen, Feiran Wu, Ye Zhao(Kent State University), Han Hong, Tianyu Gu, Long Wang, Ronghua Liang,Hujun Bao(Zhejiang University)——一种数据驱动的城市道路交通评价的视觉推理方法

7. Searching and Tracking 发现和追踪

  • DecisionFlow: Visual Analytics for High-Dimensional Temporal Event Sequence Data ，David Gotz ( UNC-Chapel Hill ), Harry Stavropoulos(IBM Research)——DecisionFlow: 高纬度时序事件序列数据的可视分析

  • Footprints: A Visual Search Tool that Supports Discovery and Coverage Tracking，Ellen Isaacs, Kelly Domico, Shane Ahern, Eugene Bart, Mudita Singhal——Footprints：一个支持发现与覆盖跟踪的可视分析工具

  • Visual Analytics for Complex Engineering Systems: Hybrid Visual Steering of Simulation Ensembles，Krešimir Matković(VRVis), Denis Gracanin, Rainer Splechtna, Mario Jelovic, Benedikt Stehno, Helwig Hauser, Werner Purgathofer——复杂工程系统的可视化分析：模拟整体的混合视觉操作

  • Visual Exploration of Sparse Traffic Trajectory Data，Zuchao Wang(Peking University), Tangzhi Ye, Min Lu, Xiaoru Yuan, Huamin Qu(Hong Kong University of Science and Technology), Jacky Yuan, Qianliang Wu ——稀疏的交通轨迹数据可视化探索

  • DIA2: Web-based Cyberinfrastructure for Visual Analysis of Funding Portfolio ，Krishna Madhavan(Purdue University), Niklas Elmqvist, Mihaela Vorvoreanu, Xin Chen, Yuet Ling Wong, Hanjun Xian, Zhihua Dong, Aditya Johri——DIA2:基于web的网络基础设施的资金投资组合的视觉分析

8. Visual Analytics in Infrastructural and Environmental Applications 在基础和环境应用中的可视分析

  • Visualizing Mobility of Public Transportation System，Wei Zeng, Chi-Wing Fu, Stefan Müller Arisona, Alexander Erath, Huamin Qu(Hong Kong University of Science and Technology)——公共交通系统的移动可视化

  • Visual Analysis of Public Utility Service Problems in a Metropolis，Jiawan Zhang (Tianjin University), Yanli E, Jing Ma, Yahui Zhao, Binghan Xu, Liting Sun, Jinyan Chen, Xiaoru Yuan(Peking University)——大都会中公共事业服务的可视化分析

  • VASA: Interactive Computational Steering of Large Asynchronous Simulation Pipelines for Societal Infrastructure ，Sungahn Ko(Purdue University), Jieqiong Zhao, Jing Xia, Xiaoyu Wang, Greg Abram, Niklas Elmqvist, Shaun Kennedy, Kelly Gaither, William Tolone, William Ribarsky, David Ebert(Purdue University)——VASA：为社会基础设施设计的大型异步模拟管道交互式计算工具

  • Proactive Spatiotemporal Resource Allocation and Predictive Visual Analytics for Community Policing and Law Enforcement，Abish Malik, Ross Maciejewski, Sherry Towers, Sean McCullough, David Ebert(Purdue University)——强化社区警务执法为目的的积极时空资源分配和预测可视化分析

  • Run Watchers: Automatic Simulation-Based Decision Support in Flood Management ，Artem Konev, Jürgen Waser, Bernhard Sadransky, Daniel Cornel, Rui A. P. Perdigão, Zsolt Horváth, Eduard Gröller(Vienna University of Technology)——跑动的观察者：在洪水管理中的自动化仿真决策支持

9 . Visual Analysis of Changes 可视分析的挑战

  • Using Visualizations to Monitor Changes and Harvest Insights from a Global-Scale Logging Infrastructure at Twitter，Krist Wongsuphasawat, Jimmy Lin(University of Maryland)——使用可视化方式在推特上从全球范围内的记录日志的基础设施上监控变化和获取知识

  • HydroQual: Visual Analysis of River Water Quality，Pierre Accorsi ,Mickaël Fabrègue, Arnaud Sallaberry, Flavie Cernesson, Nathalie Lalande, Agnès Braud, Sandra Bringay, Florence Le Ber, Pascal Poncelet, Maguelonne Teisseire(LIRMM)——HydroQual: 河水质量的可视分析

  • Vismate: Interactive Visual Analysis of Station-Based Observation Data on Climate Changes ，Jie Li, Kang Zhang, Zhao-Peng Meng——Vismate: 基于站点观测资料的针对气候变化的交互式可视分析

  • BoundarySeer: Visual Analysis of 2D Boundary Changes，Wenchao Wu(Hong Kong University of Science and Technology), Yixian Zheng(Hong Kong University of Science and Technology), Huamin Qu(Hong Kong University of Science and Technology), Wei Chen(Zhejiang University), Eduard Gröller, Lionel Ni——边界观察者：2D边界变化的可视分析

  • YMCA - Your Mesh Comparison Application ，Johanna Schmidt, Reinhold Preiner, Thomas Auzinger, Michael Wimmer, Eduard Gröller, Stefan Bruckner(Vienna University of Technology)——YMCA - 你的网格比较应用

10. Visual Analysis of Semantic Meanings 可视分析的语义

 

  • Multi-Model Semantic Interaction for Text Analytics，Lauren Bradel(Virginia Tech), Chris North, Leanna House, Scotland Leman(Virginia Tech)——文本分析中多模型的语义交互

  • Serendip: Topic Model-Driven Visual Exploration of Text Corpora ，Eric Alexander , Joe Kohlmann, Michael Witmore, Robin Valenza, Michael Gleicher(University of Wisconsin)——Serendip：主题模型驱动的文本语料库的视觉探索

  • TopicPanorama: a Full Picture of Relevant Topics ，Shixia Liu, Xiting Wang, Jianfei Chen, Jun Zhu, Baining Guo(MSRA)——TopicPanorama：相关主题的全景图

  • Integrating Predictive Analytics and Social Media，Yafeng Lu, Robert Krueger, Dennis Thom, Feng Wang, Steffen Koch, Thomas Ertl, Ross Maciejewski(Arizona State University)——预测分析和社交媒体的整合

  • PEARL: An Interactive Visual Analytic Tool for Understanding Personal Emotion Style Derived from Social Media，Jian Zhao(University of Toronto), Liang Gou, Fei Wang, Michelle Zhou(IBM Research)——PEARL：从社交媒体中推演理解个人情感风格的交互式可视分析工具

 

11. Visual Analytics in Scientific Applications 在科学应用中的可视分析

  • ConTour: Data-Driven Exploration of Multi-Relational Datasets for Drug Discovery  ，Christian Partl, Alexander Lex, Marc Streit(Johannes Kepler University), Hendrik Strobelt, Anne-Mai Wassermann, Hanspeter Pfister, Dieter Schmalstieg(Graz University of Technology)——ConTour: 以药物发现为目的的多关系数据集中进行的数据驱动探索

  • Visual Analytics for Comparison of Ocean Model Output with Reference Data: Detecting and Analyzing Geophysical Processes Using Clustering Ensembles，Patrick Köthur, Mike Sips, Henryk Dobslaw, Doris Dransch——对海洋模型输出数据与参考数据进行比较的可视分析：使用聚类检测和分析地理进程

  • Genotet: An Interactive Web-based Visual Exploration Framework to Support Validation of Gene Regulatory Networks ，Bowen Yu (New York University), Harish Doraiswamy, Xi Chen, Emily Miraldi, Mario Luis Arrieta-Ortiz, Christoph Hafemeister, Aviv Madar, Richard Bonneau, Claudio Silva(New York University)——Genotet：一个用以支持验证基因调整网络的基于web的交互式可视化探索框架

  • The Spinel Explorer - Interactive Visual Analysis of Spinel Group Minerals，M. Luján Ganuza, Gabriela R. Ferracutti, M.Florencia Gargiulo, Silvia M. Castro, Ernesto A. Bjerg, Eduard Gröller, Kresimir Matkovic——尖晶石探险家，尖晶石矿族的交互式可视分析

  • Visual Reconciliation of Alternative Similarity Spaces in Climate Modeling ，Jorge Poco, Aritra Dasgupta, Yaxing Wei, William Hargrove, Christopher Schwalm, Deborah Huntzinger, Robert Cook, Enrico Bertini,Claudio Silva(New York University)——在气候建模中的替代相似性空间的可视化调解方法