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2008 IEEE Symposium on Visual Analytics Science and Technology最新文献

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A 3D treemap approach for analyzing the classificatory distribution in patent portfolios 专利组合分类分布的三维树状图分析方法
2008 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2008-11-18 DOI: 10.1109/VAST.2008.4677380
Mark Giereth, H. Bosch, T. Ertl
{"title":"A 3D treemap approach for analyzing the classificatory distribution in patent portfolios","authors":"Mark Giereth, H. Bosch, T. Ertl","doi":"10.1109/VAST.2008.4677380","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677380","url":null,"abstract":"Due to the complexity of the patent domain and the huge amount of data, advanced interactive visual techniques are needed to support the analysis of large patent collections and portfolios. In this paper we present a new approach for visualizing the classificatory distribution of patent collections among the International Patent Classification (IPC) - todaypsilas most important internationally agreed patent classification system with about 70.000 categories. Our approach is based on an interactive three-dimensional treemap overlaid with adjacency edge bundles.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123570946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
Evacuation traces mini challenge: User testing to obtain consensus discovering the terrorist 疏散追踪小挑战:用户测试以获得共识，发现恐怖分子
2008 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2008-11-18 DOI: 10.1109/VAST.2008.4677390
A. Simeone, P. Buono
{"title":"Evacuation traces mini challenge: User testing to obtain consensus discovering the terrorist","authors":"A. Simeone, P. Buono","doi":"10.1109/VAST.2008.4677390","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677390","url":null,"abstract":"The adoption of visual analytics methodologies in security applications is an approach that could lead to interesting results. Usually, the data that has to be analyzed finds in a graphical representation its preferred nature, such as spatial or temporal relationships. Due to the nature of these applications, it is very important that key-details are made easy to identify. In the context of the VAST 2008 Challenge, we developed a visualization tool that graphically displays the movement of 82 employees of the Miami Department of Health (USA). We also asked 13 users to identify potential suspects and observe what happened during an evacuation of the building caused by an explosion. In this paper we explain the results of the user testing we conducted and how the users interpreted the event taken into account.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123513658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Envisioning user models for adaptive visualization 为自适应可视化设想用户模型
2008 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2008-11-18 DOI: 10.1109/VAST.2008.4677373
Jae-wook Ahn, Peter Brusilovsky
{"title":"Envisioning user models for adaptive visualization","authors":"Jae-wook Ahn, Peter Brusilovsky","doi":"10.1109/VAST.2008.4677373","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677373","url":null,"abstract":"Adaptive search systems apply user models to provide better separation of relevant and non-relevant documents in a list of results. This paper presents our attempt to leverage this ability of user models in the context of visual information analysis. We developed an adaptive visualization approach for presentation and exploration of search results. We simulated a visual intelligence search/analysis scenario with log data extracted from an adaptive information foraging study and were able to verify that our method can improve the ability of traditional relevance visualization to separate relevant and irrelevant information.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134262019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Award: Efficient toolkit integration solving the cell phone calls challenge with the Prajna Project 奖项:高效的工具包集成，通过般若项目解决了手机呼叫挑战
2008 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2008-11-18 DOI: 10.1109/VAST.2008.4677396
Edward Swing
{"title":"Award: Efficient toolkit integration solving the cell phone calls challenge with the Prajna Project","authors":"Edward Swing","doi":"10.1109/VAST.2008.4677396","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677396","url":null,"abstract":"The Prajna Project is a Java toolkit designed to provide various capabilities for visualization, knowledge representation, geographic displays, semantic reasoning, and data fusion. Rather than attempt to recreate the significant capabilities provided in other tools, Prajna instead provides software bridges to incorporate other toolkits where appropriate. This challenge required the development of a custom application for visual analysis. By applying the utilities within the Prajna project, I developed a robust and diverse set of capabilities to solve the analytical challenge.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123160986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Using SocialAction to uncover structure in social networks over time 使用SocialAction揭示社交网络的结构
2008 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2008-11-18 DOI: 10.1109/VAST.2008.4677392
Adam Perer
{"title":"Using SocialAction to uncover structure in social networks over time","authors":"Adam Perer","doi":"10.1109/VAST.2008.4677392","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677392","url":null,"abstract":"I describe how SocialAction was used to find insights in an evolving social structure VAST Challenge 2008psilas Mini-Challenge 3. This analysis and SocialAction were given the award, ldquoCell Phone Mini Challenge Award: Time Visualizations of Cell Phone Activityrdquo.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115642092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Evaluating the relationship between user interaction and financial visual analysis 评估用户交互和财务可视化分析之间的关系
2008 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2008-11-18 DOI: 10.1109/VAST.2008.4677360
D. Jeong, Wenwen Dou, H. Lipford, Felesia Stukes, Remco Chang, W. Ribarsky
{"title":"Evaluating the relationship between user interaction and financial visual analysis","authors":"D. Jeong, Wenwen Dou, H. Lipford, Felesia Stukes, Remco Chang, W. Ribarsky","doi":"10.1109/VAST.2008.4677360","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677360","url":null,"abstract":"It has been widely accepted that interactive visualization techniques enable users to more effectively form hypotheses and identify areas for more detailed investigation. There have been numerous empirical user studies testing the effectiveness of specific visual analytical tools. However, there has been limited effort in connecting a userpsilas interaction with his reasoning for the purpose of extracting the relationship between the two. In this paper, we present an approach for capturing and analyzing user interactions in a financial visual analytical tool and describe an exploratory user study that examines these interaction strategies. To achieve this goal, we created two visual tools to analyze raw interaction data captured during the user session. The results of this study demonstrate one possible strategy for understanding the relationship between interaction and reasoning both operationally and strategically.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"213 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122425117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 41
Visual analytics for complex concepts using a human cognition model 使用人类认知模型对复杂概念进行可视化分析
2008 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2008-11-18 DOI: 10.1109/VAST.2008.4677361
T. M. Green, W. Ribarsky, Brian D. Fisher
{"title":"Visual analytics for complex concepts using a human cognition model","authors":"T. M. Green, W. Ribarsky, Brian D. Fisher","doi":"10.1109/VAST.2008.4677361","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677361","url":null,"abstract":"As the information being visualized and the process of understanding that information both become increasingly complex, it is necessary to develop new visualization approaches that facilitate the flow of human reasoning. In this paper, we endeavor to push visualization design a step beyond current user models by discussing a modeling framework of human ldquohigher cognition.rdquo Based on this cognition model, we present design guidelines for the development of visual interfaces designed to maximize the complementary cognitive strengths of both human and computer. Some of these principles are already being reflected in the better visual analytics designs, while others have not yet been applied or fully applied. But none of the guidelines have explained the deeper rationale that the model provides. Lastly, we discuss and assess these visual analytics guidelines through the evaluation of several visualization examples.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124384968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 97
Model-driven Visual Analytics 模型驱动的可视化分析
2008 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2008-11-18 DOI: 10.1109/VAST.2008.4677352
S. Garg, Julia Eunju Nam, I. Ramakrishnan, K. Mueller
{"title":"Model-driven Visual Analytics","authors":"S. Garg, Julia Eunju Nam, I. Ramakrishnan, K. Mueller","doi":"10.1109/VAST.2008.4677352","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677352","url":null,"abstract":"We describe a visual analytics (VA) infrastructure, rooted on techniques in machine learning and logic-based deductive reasoning that will assist analysts to make sense of large, complex data sets by facilitating the generation and validation of models representing relationships in the data. We use logic programming (LP) as the underlying computing machinery to encode the relations as rules and facts and compute with them. A unique aspect of our approach is that the LP rules are automatically learned, using Inductive Logic Programming, from examples of data that the analyst deems interesting when viewing the data in the high-dimensional visualization interface. Using this system, analysts will be able to construct models of arbitrary relationships in the data, explore the data for scenarios that fit the model, refine the model if necessary, and query the model to automatically analyze incoming (future) data exhibiting the encoded relationships. In other words it will support both model-driven data exploration, as well as data-driven model evolution. More importantly, by basing the construction of models on techniques from machine learning and logic-based deduction, the VA process will be both flexible in terms of modeling arbitrary, user-driven relationships in the data as well as readily scale across different data domains.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117001360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 43
Grand challenge award: Interactive visual analytics palantir: The future of analysis 重大挑战奖:交互式可视化分析palantir:分析的未来
2008 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2008-11-18 DOI: 10.1109/VAST.2008.4677386
J. Payne, Jake Solomon, Ravi Sankar, Bob McGrew
{"title":"Grand challenge award: Interactive visual analytics palantir: The future of analysis","authors":"J. Payne, Jake Solomon, Ravi Sankar, Bob McGrew","doi":"10.1109/VAST.2008.4677386","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677386","url":null,"abstract":"Palantir is a world-class analytic platform used worldwide by governmental and financial analysts. This paper provides an introduction to the platform contextualized by its application to the 2008 IEEE VAST contest. In this challenge, we explored a notional dataset about a fabricated religious movement, Catalanopsilas Paraiso Manifesto Movement.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132696911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 13
Spatio-temporal aggregation for visual analysis of movements 用于运动视觉分析的时空聚合
2008 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2008-11-18 DOI: 10.1109/VAST.2008.4677356
G. Andrienko, N. Andrienko
{"title":"Spatio-temporal aggregation for visual analysis of movements","authors":"G. Andrienko, N. Andrienko","doi":"10.1109/VAST.2008.4677356","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677356","url":null,"abstract":"Data about movements of various objects are collected in growing amounts by means of current tracking technologies. Traditional approaches to visualization and interactive exploration of movement data cannot cope with data of such sizes. In this research paper we investigate the ways of using aggregation for visual analysis of movement data. We define aggregation methods suitable for movement data and find visualization and interaction techniques to represent results of aggregations and enable comprehensive exploration of the data. We consider two possible views of movement, traffic-oriented and trajectory-oriented. Each view requires different methods of analysis and of data aggregation. We illustrate our argument with example data resulting from tracking multiple cars in Milan and example analysis tasks from the domain of city traffic management.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128471702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 246
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