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

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VAST to Knowledge: Combining tools for exploration and mining 浩瀚到知识:结合勘探和采矿工具
2007 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2007-10-30 DOI: 10.1109/VAST.2007.4389015
L. Auvil, Xavier Llorà, Duane Searsmith, Kelly Searsmith
{"title":"VAST to Knowledge: Combining tools for exploration and mining","authors":"L. Auvil, Xavier Llorà, Duane Searsmith, Kelly Searsmith","doi":"10.1109/VAST.2007.4389015","DOIUrl":"https://doi.org/10.1109/VAST.2007.4389015","url":null,"abstract":"The investigation of the VAST Contest collection provided a valuable test for text mining techniques. Our group has focused on creating analytical tools to unveil relevant patterns and to aid with the content navigation in such text collections. Our results show how such an approach, in combination with visualization techniques, can ease the discovery process especially when multiple tools founded on the same approach to data mining are used in complement to and in concert with one another.","PeriodicalId":227910,"journal":{"name":"2007 IEEE Symposium on Visual Analytics Science and Technology","volume":"25 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":"126661579","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: 5
Visual Analytics on Mobile Devices for Emergency Response 用于应急响应的移动设备可视化分析
2007 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2007-10-30 DOI: 10.1109/VAST.2007.4388994
Sung-ye Kim, Yun Jang, A. Mellema, D. Ebert, Timothy W. Collins
{"title":"Visual Analytics on Mobile Devices for Emergency Response","authors":"Sung-ye Kim, Yun Jang, A. Mellema, D. Ebert, Timothy W. Collins","doi":"10.1109/VAST.2007.4388994","DOIUrl":"https://doi.org/10.1109/VAST.2007.4388994","url":null,"abstract":"Using mobile devices for visualization provides a ubiquitous environment for accessing information and effective decision making. These visualizations are critical in satisfying the knowledge needs of operators in areas as diverse as education, business, law enforcement, protective services, medical services, scientific discovery, and homeland security. In this paper, we present an efficient and interactive mobile visual analytic system for increased situational awareness and decision making in emergency response and training situations. Our system provides visual analytics with locational scene data within a simple interface tailored to mobile device capabilities. In particular, we focus on processing and displaying sensor network data for first responders. To verify our system, we have used simulated data of The Station nightclub fire evacuation.","PeriodicalId":227910,"journal":{"name":"2007 IEEE Symposium on Visual Analytics Science and Technology","volume":"38 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":"129167294","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: 55
Session Viewer: Visual Exploratory Analysis of Web Session Logs 会话查看器:Web会话日志的可视化探索性分析
2007 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2007-10-30 DOI: 10.1109/VAST.2007.4389008
Heidi Lam, D. Russell, Diane Tang, T. Munzner
{"title":"Session Viewer: Visual Exploratory Analysis of Web Session Logs","authors":"Heidi Lam, D. Russell, Diane Tang, T. Munzner","doi":"10.1109/VAST.2007.4389008","DOIUrl":"https://doi.org/10.1109/VAST.2007.4389008","url":null,"abstract":"Large-scale session log analysis typically includes statistical methods and detailed log examinations. While both methods have merits, statistical methods can miss previously unknown sub- populations in the data and detailed analyses may have selection biases. We therefore built Session Viewer, a visualization tool to facilitate and bridge between statistical and detailed analyses. Taking a multiple-coordinated view approach, Session Viewer shows multiple session populations at the Aggregate, Multiple, and Detail data levels to support different analysis styles. To bridge between the statistical and the detailed analysis levels, Session Viewer provides fluid traversal between data levels and side-by-side comparison at all data levels. We describe an analysis of a large-scale web usage study to demonstrate the use of Session Viewer, where we quantified the importance of grouping sessions based on task type.","PeriodicalId":227910,"journal":{"name":"2007 IEEE Symposium on Visual Analytics Science and Technology","volume":"72 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":"122714039","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: 71
TextPlorer: An application supporting text analysis TextPlorer:一个支持文本分析的应用程序
2007 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2007-10-30 DOI: 10.1109/VAST.2007.4389019
C. Pan, Anuj R. Jaiswal, Junyan Luo, A. Robinson
{"title":"TextPlorer: An application supporting text analysis","authors":"C. Pan, Anuj R. Jaiswal, Junyan Luo, A. Robinson","doi":"10.1109/VAST.2007.4389019","DOIUrl":"https://doi.org/10.1109/VAST.2007.4389019","url":null,"abstract":"TexPlorer is an integrated system for exploring and analyzing large amounts of text documents. The data processing modules of TexPlorer consist of named entity extraction, entity relation extraction, hierarchical clustering, and text summarization tools. Using a timeline tool, tree-view, table-view, and concept maps, TexPlorer provides an analytical interface for exploring a set of text documents from different perspectives and allows users to explore vast amount of text documents efficiently.","PeriodicalId":227910,"journal":{"name":"2007 IEEE Symposium on Visual Analytics Science and Technology","volume":"7 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":"129944753","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
Thin Client Visualization 瘦客户机可视化
2007 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2007-10-30 DOI: 10.1109/VAST.2007.4388996
S. Eick, M. Eick, J. Fugitt, Brian Horst, Maxim Khailo, R. A. Lankenau
{"title":"Thin Client Visualization","authors":"S. Eick, M. Eick, J. Fugitt, Brian Horst, Maxim Khailo, R. A. Lankenau","doi":"10.1109/VAST.2007.4388996","DOIUrl":"https://doi.org/10.1109/VAST.2007.4388996","url":null,"abstract":"We have developed a Web 2.0 thin client visualization framework called GeoBoosttrade. Our framework focuses on geospatial visualization and using scalable vector graphics (SVG), AJAX, RSS and GeoRSS we have built a complete thin client component set. Our component set provides a rich user experience that is completely browser based. It includes maps, standard business charts, graphs, and time-oriented components. The components are live, interactive, linked, and support real time collaboration.","PeriodicalId":227910,"journal":{"name":"2007 IEEE Symposium on Visual Analytics Science and Technology","volume":"135 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":"134427360","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: 19
Visual Analytics with Jigsaw 视觉分析与拼图
2007 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2007-10-30 DOI: 10.1109/VAST.2007.4389017
C. Görg, Zhicheng Liu, N. Parekh, K. Singhal, J. Stasko
{"title":"Visual Analytics with Jigsaw","authors":"C. Görg, Zhicheng Liu, N. Parekh, K. Singhal, J. Stasko","doi":"10.1109/VAST.2007.4389017","DOIUrl":"https://doi.org/10.1109/VAST.2007.4389017","url":null,"abstract":"This article briefly introduces the Jigsaw system and describes how we used it in analysis activities for the VAST '07 Contest. Jigsaw is a visual analytic system that provides multiple coordinated views to show connections between entities that are extracted from a collection of documents.","PeriodicalId":227910,"journal":{"name":"2007 IEEE Symposium on Visual Analytics Science and Technology","volume":"4 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":"114743093","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: 12
Spectra transformed for model-testing and visual exploration 光谱转换为模型测试和视觉探索
2007 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2007-10-30 DOI: 10.1109/VAST.2007.4389024
P. Catravas
{"title":"Spectra transformed for model-testing and visual exploration","authors":"P. Catravas","doi":"10.1109/VAST.2007.4389024","DOIUrl":"https://doi.org/10.1109/VAST.2007.4389024","url":null,"abstract":"The presence of highly tangled patterns in spectra and other serial data exacerbates the difficulty of performing visual comparison between a test model for a particular pattern and the data. The use of a simple map that plants peaks in the data directly onto their corresponding position in a residual plot with respect to a chosen test model not only retrieves the advantages of dynamic regression plotting, but in practical cases also causes patterns in the data to congregate in meaningful ways with respect to more than one reference curve in the plane. The technique is demonstrated on a polyphonic music signal.","PeriodicalId":227910,"journal":{"name":"2007 IEEE Symposium on Visual Analytics Science and Technology","volume":"54 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":"129939770","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
Intelligent Visual Analytics Queries 智能视觉分析查询
2007 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2007-10-30 DOI: 10.1109/VAST.2007.4389001
U. Dayal, D. Keim, D. Morent, Jörn Schneidewind, H. Packard
{"title":"Intelligent Visual Analytics Queries","authors":"U. Dayal, D. Keim, D. Morent, Jörn Schneidewind, H. Packard","doi":"10.1109/VAST.2007.4389001","DOIUrl":"https://doi.org/10.1109/VAST.2007.4389001","url":null,"abstract":"Visualizations of large multi-dimensional data sets, occurring in scientific and commercial applications, often reveal interesting local patterns. Analysts want to identify the causes and impacts of these interesting areas, and they also want to search for similar patterns occurring elsewhere in the data set. In this paper we introduce the Intelligent Visual Analytics Query (IVQuery) concept that combines visual interaction with automated analytical methods to support analysts in discovering the special properties and relations of identified patterns. The idea of IVQuery is to interactively select focus areas in the visualization. Then, according to the characteristics of the selected areas, such as the data dimensions and records, IVQuery employs analytical methods to identify the relationships to other portions of the data set. Finally, IVQuery generates visual representations for analysts to view and refine the results. IVQuery has been applied successfully to different real-world data sets, such as data warehouse performance, product sales, and sever performance analysis, and demonstrates the benefits of this technique over traditional filtering and zooming techniques. The visual analytics query technique can be used with many different types of visual representation. In this paper we show how to use IVQuery with parallel coordinates, visual maps, and scatter plots.","PeriodicalId":227910,"journal":{"name":"2007 IEEE Symposium on Visual Analytics Science and Technology","volume":"61 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":"126302900","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: 51
Us vs. Them: Understanding Social Dynamics in Wikipedia with Revert Graph Visualizations 我们vs.他们:用回归图可视化来理解维基百科中的社会动态
2007 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2007-10-01 DOI: 10.1109/VAST.2007.4389010
B. Suh, Ed H. Chi, Bryan A. Pendleton, A. Kittur
{"title":"Us vs. Them: Understanding Social Dynamics in Wikipedia with Revert Graph Visualizations","authors":"B. Suh, Ed H. Chi, Bryan A. Pendleton, A. Kittur","doi":"10.1109/VAST.2007.4389010","DOIUrl":"https://doi.org/10.1109/VAST.2007.4389010","url":null,"abstract":"Wikipedia is a wiki-based encyclopedia that has become one of the most popular collaborative on-line knowledge systems. As in any large collaborative system, as Wikipedia has grown, conflicts and coordination costs have increased dramatically. Visual analytic tools provide a mechanism for addressing these issues by enabling users to more quickly and effectively make sense of the status of a collaborative environment. In this paper we describe a model for identifying patterns of conflicts in Wikipedia articles. The model relies on users' editing history and the relationships between user edits, especially revisions that void previous edits, known as \"reverts\". Based on this model, we constructed Revert Graph, a tool that visualizes the overall conflict patterns between groups of users. It enables visual analysis of opinion groups and rapid interactive exploration of those relationships via detail drill- downs. We present user patterns and case studies that show the effectiveness of these techniques, and discuss how they could generalize to other systems.","PeriodicalId":227910,"journal":{"name":"2007 IEEE Symposium on Visual Analytics Science and Technology","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114749374","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: 96
InfoVis as Seen by the World Out There: 2007 in Review 外部世界所看到的InfoVis: 2007年回顾
2007 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 1900-01-01 DOI: 10.1109/VAST.2007.4388989
Stephen Few
{"title":"InfoVis as Seen by the World Out There: 2007 in Review","authors":"Stephen Few","doi":"10.1109/VAST.2007.4388989","DOIUrl":"https://doi.org/10.1109/VAST.2007.4388989","url":null,"abstract":"How we as insiders see and understand InfoVis is quite different from how it is seen by most people in the world out there. Most people get only glimpses of what we do, and those glimpses rarely tell the story clearly. Think about the view of InfoVis that has been created in 2007 through marketing, blogs, and articles. This view is peppered with misperception. In this presentation, I'll take you on a tour of InfoVis' exposure in 2007: the highlights and the failures that have shaped the world's perception of our beloved and important work. The world needs what we do, but this need remains largely unsatisfied.","PeriodicalId":227910,"journal":{"name":"2007 IEEE Symposium on Visual Analytics Science and Technology","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132220070","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
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