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2007 IEEE Symposium on Visual Analytics Science and Technology最新文献

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Visual Analysis of Dynamic Networks with Geological Clustering 地质聚类动态网络的可视化分析
2007 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2007-10-30 DOI: 10.1109/VAST.2007.4389027
A. Ahmed, Xiaoyan Fu, Seok-Hee Hong, Q. Nguyen, Kai Xu
{"title":"Visual Analysis of Dynamic Networks with Geological Clustering","authors":"A. Ahmed, Xiaoyan Fu, Seok-Hee Hong, Q. Nguyen, Kai Xu","doi":"10.1109/VAST.2007.4389027","DOIUrl":"https://doi.org/10.1109/VAST.2007.4389027","url":null,"abstract":"Many dynamic networks have associated geological information. Here we present two complementing visual analysis methods for such networks. The first one provides an overview with summerized information while the second one presents a more detailed view. The geological information is encoded in the network layout, which is designed to help maintain user's mental map. We also combined visualization with social network analysis to facilitate knowledge discovery, especially to understand network changes in the context overall evolution. Both methods are applied to the \"History of the FIFA World Cup Competition\" data set.","PeriodicalId":227910,"journal":{"name":"2007 IEEE Symposium on Visual Analytics Science and Technology","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116969333","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: 2
Something's "Fishy" at Global Ways and Gill Breeders - Analysis with nSpace and GeoTime 在Global Ways和Gill Breeders上有些“可疑”的东西-使用nSpace和GeoTime进行分析
2007 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2007-10-30 DOI: 10.1109/VAST.2007.4389018
Lynn Chien, A. Tat, W. Wright
{"title":"Something's \"Fishy\" at Global Ways and Gill Breeders - Analysis with nSpace and GeoTime","authors":"Lynn Chien, A. Tat, W. Wright","doi":"10.1109/VAST.2007.4389018","DOIUrl":"https://doi.org/10.1109/VAST.2007.4389018","url":null,"abstract":"GeoTime and nSpace are two interactive visual analytics tools that support the process of analyzing massive and complex datasets. The two tools were used to examine and interpret the 2007 VAST contest dataset. This poster paper describes how the capabilities of the tools were used to facilitate and expedite every stage of an analyst workflow.","PeriodicalId":227910,"journal":{"name":"2007 IEEE Symposium on Visual Analytics Science and Technology","volume":"262 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120861711","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: 0
Balancing Interactive Data Management of Massive Data with Situational Awareness through Smart Aggregation 通过智能聚合平衡海量数据交互管理与态势感知
2007 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2007-10-30 DOI: 10.1109/VAST.2007.4388998
Daniel R. Tesone, J. Goodall
{"title":"Balancing Interactive Data Management of Massive Data with Situational Awareness through Smart Aggregation","authors":"Daniel R. Tesone, J. Goodall","doi":"10.1109/VAST.2007.4388998","DOIUrl":"https://doi.org/10.1109/VAST.2007.4388998","url":null,"abstract":"Designing a visualization system capable of processing, managing, and presenting massive data sets while maximizing the user's situational awareness (SA) is a challenging, but important, research question in visual analytics. Traditional data management and interactive retrieval approaches have often focused on solving the data overload problem at the expense of the user's SA. This paper discusses various data management strategies and the strengths and limitations of each approach in providing the user with SA. A new data management strategy, coined Smart Aggregation, is presented as a powerful approach to overcome the challenges of both massive data sets and maintaining SA. By combining automatic data aggregation with user-defined controls on what, how, and when data should be aggregated, we present a visualization system that can handle massive amounts of data while affording the user with the best possible SA. This approach ensures that a system is always usable in terms of both system resources and human perceptual resources. We have implemented our Smart Aggregation approach in a visual analytics system called VIAssist (Visual Assistant for Information Assurance Analysis) to facilitate exploration, discovery, and SA in the domain of Information Assurance.","PeriodicalId":227910,"journal":{"name":"2007 IEEE Symposium on Visual Analytics Science and Technology","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130214725","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: 23
WireVis: Visualization of Categorical, Time-Varying Data From Financial Transactions WireVis:金融交易分类时变数据的可视化
2007 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2007-10-30 DOI: 10.1109/VAST.2007.4389009
Remco Chang, M. Ghoniem, Robert Kosara, W. Ribarsky, Jing Yang, Evan A. Suma, Caroline Ziemkiewicz, D. Kern, A. Sudjianto
{"title":"WireVis: Visualization of Categorical, Time-Varying Data From Financial Transactions","authors":"Remco Chang, M. Ghoniem, Robert Kosara, W. Ribarsky, Jing Yang, Evan A. Suma, Caroline Ziemkiewicz, D. Kern, A. Sudjianto","doi":"10.1109/VAST.2007.4389009","DOIUrl":"https://doi.org/10.1109/VAST.2007.4389009","url":null,"abstract":"Large financial institutions such as Bank of America handle hundreds of thousands of wire transactions per day. Although most transactions are legitimate, these institutions have legal and financial obligations in discovering those that are suspicious. With the methods of fraudulent activities ever changing, searching on predefined patterns is often insufficient in detecting previously undiscovered methods. In this paper, we present a set of coordinated visualizations based on identifying specific keywords within the wire transactions. The different views used in our system depict relationships among keywords and accounts over time. Furthermore, we introduce a search-by-example technique which extracts accounts that show similar transaction patterns. In collaboration with the Anti-Money Laundering division at Bank of America, we demonstrate that using our tool, investigators are able to detect accounts and transactions that exhibit suspicious behaviors.","PeriodicalId":227910,"journal":{"name":"2007 IEEE Symposium on Visual Analytics Science and Technology","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126695267","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: 134
NewsLab: Exploratory Broadcast News Video Analysis NewsLab:探索性广播新闻视频分析
2007 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2007-10-30 DOI: 10.1109/VAST.2007.4389005
M. Ghoniem, Dongning Luo, Jing Yang, W. Ribarsky
{"title":"NewsLab: Exploratory Broadcast News Video Analysis","authors":"M. Ghoniem, Dongning Luo, Jing Yang, W. Ribarsky","doi":"10.1109/VAST.2007.4389005","DOIUrl":"https://doi.org/10.1109/VAST.2007.4389005","url":null,"abstract":"In this paper, we introduce NewsLab, an exploratory visualization approach for the analysis of large scale broadcast news video collections containing many thousands of news stories over extended periods of time. A river metaphor is used to depict the thematic changes of the news over time. An interactive lens metaphor allows the playback of fine-grained video segments selected through the river overview. Multi-resolution navigation is supported via a hierarchical time structure as well as a hierarchical theme structure. Themes can be explored hierarchically according to their thematic structure, or in an unstructured fashion using various ranking criteria. A rich set of interactions such as filtering, drill-down/roll-up navigation, history animation, and keyword based search are also provided. Our case studies show how this set of tools can be used to find emerging topics in the news, compare different broadcasters, or mine the news for topics of interest.","PeriodicalId":227910,"journal":{"name":"2007 IEEE Symposium on Visual Analytics Science and Technology","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131259556","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: 34
Activity Analysis Using Spatio-Temporal Trajectory Volumes in Surveillance Applications 在监视应用中使用时空轨迹体积的活动分析
2007 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2007-10-30 DOI: 10.1109/VAST.2007.4388990
F. Janoos, Shantanu Singh, M. Irfanoglu, R. Machiraju, Richard E. Parent
{"title":"Activity Analysis Using Spatio-Temporal Trajectory Volumes in Surveillance Applications","authors":"F. Janoos, Shantanu Singh, M. Irfanoglu, R. Machiraju, Richard E. Parent","doi":"10.1109/VAST.2007.4388990","DOIUrl":"https://doi.org/10.1109/VAST.2007.4388990","url":null,"abstract":"In this paper, we present a system to analyze activities and detect anomalies in a surveillance application, which exploits the intuition and experience of security and surveillance experts through an easy- to-use visual feedback loop. The multi-scale and location specific nature of behavior patterns in space and time is captured using a wavelet-based feature descriptor. The system learns the fundamental descriptions of the behavior patterns in a semi-supervised fashion by the higher order singular value decomposition of the space described by the training data. This training process is guided and refined by the users in an intuitive fashion. Anomalies are detected by projecting the test data into this multi-linear space and are visualized by the system to direct the attention of the user to potential problem spots. We tested our system on real-world surveillance data, and it satisfied the security concerns of the environment.","PeriodicalId":227910,"journal":{"name":"2007 IEEE Symposium on Visual Analytics Science and Technology","volume":"342 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115450678","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: 23
VAST 2007 Contest Interactive Poster: Data Analysis Using NdCore and REGGAE VAST 2007竞赛互动海报:使用NdCore和REGGAE进行数据分析
2007 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2007-10-30 DOI: 10.1109/VAST.2007.4389016
L. Schwendiman, J. McLean, J. Larson
{"title":"VAST 2007 Contest Interactive Poster: Data Analysis Using NdCore and REGGAE","authors":"L. Schwendiman, J. McLean, J. Larson","doi":"10.1109/VAST.2007.4389016","DOIUrl":"https://doi.org/10.1109/VAST.2007.4389016","url":null,"abstract":"ATS intelligent discovery analyzed the VAST 2007 contest data set using two of its proprietary applications, NdCore and REGGAE (relationship generating graph analysis engine). The paper describes these tools and how they were used to discover the contest's scenarios of wildlife law enforcement, endangered species issues, and ecoterrorism.","PeriodicalId":227910,"journal":{"name":"2007 IEEE Symposium on Visual Analytics Science and Technology","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121186847","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: 2
VAST 2007 Contest Data Analysis Using NdCore and REGGAE 使用NdCore和REGGAE分析2007年VAST竞赛数据
2007 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2007-10-30 DOI: 10.1109/VAST.2007.4389038
L. Schwendiman, J. McLean, J. Larson
{"title":"VAST 2007 Contest Data Analysis Using NdCore and REGGAE","authors":"L. Schwendiman, J. McLean, J. Larson","doi":"10.1109/VAST.2007.4389038","DOIUrl":"https://doi.org/10.1109/VAST.2007.4389038","url":null,"abstract":"ATS Intelligent Discovery analyzed the VAST 2007 contest data set using two of its proprietary applications, NdCore and REGGAE (Relationship Generating Graph Analysis Engine). The paper describes these tools and how they were used to discover the contest's scenarios of wildlife law enforcement, endangered species issues, and ecoterrorism.","PeriodicalId":227910,"journal":{"name":"2007 IEEE Symposium on Visual Analytics Science and Technology","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126348252","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
Intelligence Analysis Using Titan 利用泰坦进行智能分析
2007 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2007-10-30 DOI: 10.1109/VAST.2007.4389036
Patricia J. Crossno, B. Wylie, Andrew T. Wilson, J. Greenfield, E. Stanton, Timothy M. Shead, L. Ice, K. Moreland, J. Baumes, Berk Geveci
{"title":"Intelligence Analysis Using Titan","authors":"Patricia J. Crossno, B. Wylie, Andrew T. Wilson, J. Greenfield, E. Stanton, Timothy M. Shead, L. Ice, K. Moreland, J. Baumes, Berk Geveci","doi":"10.1109/VAST.2007.4389036","DOIUrl":"https://doi.org/10.1109/VAST.2007.4389036","url":null,"abstract":"The open source Titan informatics toolkit project, which extends the visualization toolkit (VTK) to include information visualization capabilities, is being developed by Sandia National Laboratories in collaboration with Kitware. The VAST Contest provided us with an opportunity to explore various ideas for constructing an analysis tool, while allowing us to exercise our architecture in the solution of a complex problem. As amateur analysts, we found the experience both enlightening and fun.","PeriodicalId":227910,"journal":{"name":"2007 IEEE Symposium on Visual Analytics Science and Technology","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134407067","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
Jigsaw meets Blue Iguanodon - The VAST 2007 Contest 拼图遇见蓝色禽龙- 2007年VAST竞赛
2007 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2007-10-30 DOI: 10.1109/VAST.2007.4389034
C. Görg, Zhicheng Liu, N. Parekh, K. Singhal, J. Stasko
{"title":"Jigsaw meets Blue Iguanodon - The VAST 2007 Contest","authors":"C. Görg, Zhicheng Liu, N. Parekh, K. Singhal, J. Stasko","doi":"10.1109/VAST.2007.4389034","DOIUrl":"https://doi.org/10.1109/VAST.2007.4389034","url":null,"abstract":"This article describes our use of the Jigsaw system in working on the VAST 2007 contest. Jigsaw provides multiple views of a document collection and the individual entities within those documents, with a particular focus on exposing connections between entities. We describe how we refined the identified entities in order to better facilitate Jigsaw's use and how the different views helped us to uncover key parts of the underlying plot.","PeriodicalId":227910,"journal":{"name":"2007 IEEE Symposium on Visual Analytics Science and Technology","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127387925","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: 20
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