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2011 IEEE Conference on Visual Analytics Science and Technology (VAST)最新文献

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TreeVersity: Comparing tree structures by topology and node's attributes differences TreeVersity:通过拓扑结构和节点属性差异来比较树结构
2011 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2011-12-15 DOI: 10.1109/VAST.2011.6102471
J. Gómez, Audra Buck-Coleman, C. Plaisant, B. Shneiderman
{"title":"TreeVersity: Comparing tree structures by topology and node's attributes differences","authors":"J. Gómez, Audra Buck-Coleman, C. Plaisant, B. Shneiderman","doi":"10.1109/VAST.2011.6102471","DOIUrl":"https://doi.org/10.1109/VAST.2011.6102471","url":null,"abstract":"It is common to classify data in hierarchies, they provide a comprehensible way of understanding big amounts of data. From budgets to organizational charts or even the stock market, trees are everywhere and people find them easy to use. However when analysts need to compare two versions of the same tree structure, or two related taxonomies, the task is not so easy. Much work has been done on this topic, but almost all of it has been restricted to either compare the trees by topology, or by the node attribute values. With this project we are proposing TreeVersity, a framework for comparing tree structures, both by structural changes and by differences in the node attributes. This paper is based on our previous work on comparing traffic agencies using LifeFlow [1, 2] and on a first prototype of TreeVersity.","PeriodicalId":103998,"journal":{"name":"2011 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124252564","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
BaobabView: Interactive construction and analysis of decision trees BaobabView:交互式决策树的构建和分析
2011 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2011-12-15 DOI: 10.1109/VAST.2011.6102453
S. V. D. Elzen, J. V. Wijk
{"title":"BaobabView: Interactive construction and analysis of decision trees","authors":"S. V. D. Elzen, J. V. Wijk","doi":"10.1109/VAST.2011.6102453","DOIUrl":"https://doi.org/10.1109/VAST.2011.6102453","url":null,"abstract":"We present a system for the interactive construction and analysis of decision trees that enables domain experts to bring in domain specific knowledge. We identify different user tasks and corresponding requirements, and develop a system incorporating a tight integration of visualization, interaction and algorithmic support. Domain experts are supported in growing, pruning, optimizing and analysing decision trees. Furthermore, we present a scalable decision tree visualization optimized for exploration. We show the effectiveness of our approach by applying the methods to two use cases. The first case illustrates the advantages of interactive construction, the second case demonstrates the effectiveness of analysis of decision trees and exploration of the structure of the data.","PeriodicalId":103998,"journal":{"name":"2011 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124105158","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: 173
Mapping an epidemic outbreak: Effective analysis and presentation 绘制流行病爆发图:有效的分析和展示
2011 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2011-12-15 DOI: 10.1109/VAST.2011.6102486
K. Boone, Edward Swing
{"title":"Mapping an epidemic outbreak: Effective analysis and presentation","authors":"K. Boone, Edward Swing","doi":"10.1109/VAST.2011.6102486","DOIUrl":"https://doi.org/10.1109/VAST.2011.6102486","url":null,"abstract":"The microblog challenge presented an opportunity to use commercial software for visual analysis. An epidemic outbreak occurred in the city of Vastopolis, requiring visualizations of symptoms and their spread over time. Using these tools, analysts could successfully identify the outbreak's origin and pattern of dispersion. The maps used to analyze the data and present the results provided clear, easily understood representations, and presented a logical explanation of a complex progression of events.","PeriodicalId":103998,"journal":{"name":"2011 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125671194","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
3D Visualization of temporal changes in bloggers' activities and interests 博客活动和兴趣时间变化的三维可视化
2011 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2011-12-15 DOI: 10.1109/VAST.2011.6102475
Masahiko Itoh, Naoki Yoshinaga, Masashi Toyoda, M. Kitsuregawa
{"title":"3D Visualization of temporal changes in bloggers' activities and interests","authors":"Masahiko Itoh, Naoki Yoshinaga, Masashi Toyoda, M. Kitsuregawa","doi":"10.1109/VAST.2011.6102475","DOIUrl":"https://doi.org/10.1109/VAST.2011.6102475","url":null,"abstract":"This paper presents a novel system for analyzing temporal changes in bloggers' activities and interests on a topic through a 3D visualization of dependency structures related to the topic. Having a dependency database built from a blog archive, our 3D visualization framework helps users to interactively exploring temporal changes in bloggers' activities and interests related to the topic.","PeriodicalId":103998,"journal":{"name":"2011 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132215334","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
Guiding security analysis through visualization 通过可视化指导安全分析
2011 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2011-12-15 DOI: 10.1109/VAST.2011.6102492
Lane Harrison, Wenwen Dou, Aidong Lu, W. Ribarsky, Xiaoyu Wang
{"title":"Guiding security analysis through visualization","authors":"Lane Harrison, Wenwen Dou, Aidong Lu, W. Ribarsky, Xiaoyu Wang","doi":"10.1109/VAST.2011.6102492","DOIUrl":"https://doi.org/10.1109/VAST.2011.6102492","url":null,"abstract":"We present a multiple views visualization for the security data in the VAST 2010 Mini Challenge 2. The visualization is used to monitor log event activity on the network log data included in the challenge. Interactions are provided that allow analysts to investigate suspicious activity and escalate events as needed. Additionally, a database application is used to allow SQL queries for more detailed investigation.","PeriodicalId":103998,"journal":{"name":"2011 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115557574","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: 3
Analysis of large digital collections with interactive visualization 大型数字馆藏的交互式可视化分析
2011 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2011-12-15 DOI: 10.1109/VAST.2011.6102462
Weijia Xu, M. Esteva, S. Jain, Varun Jain
{"title":"Analysis of large digital collections with interactive visualization","authors":"Weijia Xu, M. Esteva, S. Jain, Varun Jain","doi":"10.1109/VAST.2011.6102462","DOIUrl":"https://doi.org/10.1109/VAST.2011.6102462","url":null,"abstract":"To make decisions about the long-term preservation and access of large digital collections, archivists gather information such as the collections' contents, their organizational structure, and their file format composition. To date, the process of analyzing a collection — from data gathering to exploratory analysis and final conclusions — has largely been conducted using pen and paper methods. To help archivists analyze large-scale digital collections for archival purposes, we developed an interactive visual analytics application. The application narrows down different kinds of information about the collection, and presents them as meaningful data views. Multiple views and analysis features can be linked or unlinked on demand to enable researchers to compare and contrast different analyses, and to identify trends. We describe and present two user scenarios to show how the application allowed archivists to learn about a collection with accuracy, facilitated decision-making, and helped them arrive at conclusions.","PeriodicalId":103998,"journal":{"name":"2011 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114525647","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
Supporting effective common ground construction in Asynchronous Collaborative Visual Analytics 支持异步协同可视化分析中有效的公共基础构建
2011 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2011-12-15 DOI: 10.1109/VAST.2011.6102447
Yang Chen, J. Alsakran, S. Barlowe, Jing Yang, Ye Zhao
{"title":"Supporting effective common ground construction in Asynchronous Collaborative Visual Analytics","authors":"Yang Chen, J. Alsakran, S. Barlowe, Jing Yang, Ye Zhao","doi":"10.1109/VAST.2011.6102447","DOIUrl":"https://doi.org/10.1109/VAST.2011.6102447","url":null,"abstract":"Asynchronous Collaborative Visual Analytics (ACVA) leverages group sensemaking by releasing the constraints on when, where, and who works collaboratively. A significant task to be addressed before ACVA can reach its full potential is effective common ground construction, namely the process in which users evaluate insights from individual work to develop a shared understanding of insights and collectively pool them. This is challenging due to the lack of instant communication and scale of collaboration in ACVA. We propose a novel visual analytics approach that automatically gathers, organizes, and summarizes insights to form common ground with reduced human effort. The rich set of visualization and interaction techniques provided in our approach allows users to effectively and flexibly control the common ground construction and review, explore, and compare insights in detail. A working proto-type of the approach has been implemented. We have conducted a case study and a user study to demonstrate its effectiveness.","PeriodicalId":103998,"journal":{"name":"2011 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131197263","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: 26
ScatterBlogs: Geo-spatial document analysis ScatterBlogs:地理空间文档分析
2011 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2011-12-15 DOI: 10.1109/VAST.2011.6102488
H. Bosch, Dennis Thom, Michael Wörner, Steffen Koch, Edwin Puttmann, Dominik Jäckle, T. Ertl
{"title":"ScatterBlogs: Geo-spatial document analysis","authors":"H. Bosch, Dennis Thom, Michael Wörner, Steffen Koch, Edwin Puttmann, Dominik Jäckle, T. Ertl","doi":"10.1109/VAST.2011.6102488","DOIUrl":"https://doi.org/10.1109/VAST.2011.6102488","url":null,"abstract":"We presented Scatterblogs, a system for microblog analysis that seamlessly integrates search backend and visual frontend. It provides powerful, automatic algorithms for detecting spatio-temporal ‘anomalies’ within blog entries as well as corresponding visual representations and interaction facilities for inspecting anomalies or exploiting them in further analytic steps. Apart from that, we consider the system's combinatoric facilities for building complex hypotheses from temporal, spatial, and content-related aspects an important feature. This was the key for creating a cross-checked analysis for MC1.","PeriodicalId":103998,"journal":{"name":"2011 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131238423","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: 42
ParallelTopics: A probabilistic approach to exploring document collections ParallelTopics:一种探索文档集合的概率方法
2011 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2011-12-15 DOI: 10.1109/VAST.2011.6102461
Wenwen Dou, Xiaoyu Wang, Remco Chang, W. Ribarsky
{"title":"ParallelTopics: A probabilistic approach to exploring document collections","authors":"Wenwen Dou, Xiaoyu Wang, Remco Chang, W. Ribarsky","doi":"10.1109/VAST.2011.6102461","DOIUrl":"https://doi.org/10.1109/VAST.2011.6102461","url":null,"abstract":"Scalable and effective analysis of large text corpora remains a challenging problem as our ability to collect textual data continues to increase at an exponential rate. To help users make sense of large text corpora, we present a novel visual analytics system, Parallel-Topics, which integrates a state-of-the-art probabilistic topic model Latent Dirichlet Allocation (LDA) with interactive visualization. To describe a corpus of documents, ParallelTopics first extracts a set of semantically meaningful topics using LDA. Unlike most traditional clustering techniques in which a document is assigned to a specific cluster, the LDA model accounts for different topical aspects of each individual document. This permits effective full text analysis of larger documents that may contain multiple topics. To highlight this property of the model, ParallelTopics utilizes the parallel coordinate metaphor to present the probabilistic distribution of a document across topics. Such representation allows the users to discover single-topic vs. multi-topic documents and the relative importance of each topic to a document of interest. In addition, since most text corpora are inherently temporal, ParallelTopics also depicts the topic evolution over time. We have applied ParallelTopics to exploring and analyzing several text corpora, including the scientific proposals awarded by the National Science Foundation and the publications in the VAST community over the years. To demonstrate the efficacy of ParallelTopics, we conducted several expert evaluations, the results of which are reported in this paper.","PeriodicalId":103998,"journal":{"name":"2011 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133195038","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: 124
Reasonable abstractions: Semantics for dynamic data visualization 合理的抽象:动态数据可视化的语义
2011 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2011-12-15 DOI: 10.1109/VAST.2011.6102468
Joseph A. Cottam, A. Lumsdaine
{"title":"Reasonable abstractions: Semantics for dynamic data visualization","authors":"Joseph A. Cottam, A. Lumsdaine","doi":"10.1109/VAST.2011.6102468","DOIUrl":"https://doi.org/10.1109/VAST.2011.6102468","url":null,"abstract":"Chi showed how to treat visualization programing models abstractly. This provided a firm theoretical basis for the data-state model of visualization. However, Chi's models did not look deeper into fine-grained program properties, such as execution semantics. We present conditionally deterministic and resource bounded semantics for the data flow model of visualization based on E-FRP. These semantics are used in the Stencil system to move between data state and data flow execution, build task-based parallelism, and build complex analysis chains for dynamic data. This initial work also shows promise for other complex operators, compilation techniques to enable efficient use of time and space, and mixing task and data parallelism.","PeriodicalId":103998,"journal":{"name":"2011 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132034551","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
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