IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings最新文献

Lighthouse: showing the way to relevant information 灯塔:指向相关信息的指引

IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings Pub Date : 2000-10-09 DOI: 10.1109/INFVIS.2000.885099

A. Leuski, James Allan

引用次数: 87

A scalable framework for information visualization 用于信息可视化的可伸缩框架

IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings Pub Date : 2000-10-09 DOI: 10.1109/INFVIS.2000.885088

M. Kreuseler, Norma López, H. Schumann

引用次数: 118

Visualizing massive multi-digraphs 可视化大量多向图

IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings Pub Date : 2000-10-09 DOI: 10.1109/INFVIS.2000.885089

J. Abello, Jeffrey L. Korn

{"title":"Visualizing massive multi-digraphs","authors":"J. Abello, Jeffrey L. Korn","doi":"10.1109/INFVIS.2000.885089","DOIUrl":"https://doi.org/10.1109/INFVIS.2000.885089","url":null,"abstract":"We describe MGV, an integrated visualization and exploration system for massive multi-digraph navigation. MGV's only assumption is that the vertex set of the underlying digraph corresponds to the set of leaves of a predetermined tree T. MGV builds an out-of-core graph hierarchy and provides mechanisms to plug in arbitrary visual representations for each graph hierarchy slice. Navigation from one level to another of the hierarchy corresponds to the implementation of a drill-down interface. In order to provide the user with navigation control and interactive response, MGV incorporates a number of visualization techniques like interactive pixel-oriented 2D and 3D maps, statistical displays, multi-linked views, and a zoomable label based interface. This makes the association of geographic information and graph data very natural. MGV follows the client-server paradigm and it is implemented in C and Java-3D. We highlight the main algorithmic and visualization techniques behind the tools and point out along the way several possible application scenarios. Our techniques are being applied to multi-graphs defined on vertex sets with sizes ranging from 100 million to 250 million vertices.","PeriodicalId":399031,"journal":{"name":"IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123155641","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: 24

Metaphor-aware 3D navigation 具有隐喻意识的3D导航

IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings Pub Date : 2000-10-09 DOI: 10.1109/INFVIS.2000.885104

C. R. D. Santos, P. Gros, P. Abel, D. Loisel, N. Trichaud, J. Paris

引用次数: 38

New methods for the visualization of electric power system information 电力系统信息可视化的新方法

IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings Pub Date : 2000-10-09 DOI: 10.1109/INFVIS.2000.885101

T. Overbye, J. Weber

引用次数: 58

Density functions for visual attributes and effective partitioning in graph visualization 可视化属性的密度函数和图形可视化中的有效划分

IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings Pub Date : 2000-10-09 DOI: 10.1109/INFVIS.2000.885090

I. Herman, M. S. Marshall, G. Melançon

引用次数: 39

From metaphor to method: cartographic perspectives on information visualization 从隐喻到方法:信息可视化的制图视角

IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings Pub Date : 2000-10-09 DOI: 10.1109/INFVIS.2000.885095

A. Skupin

引用次数: 104

ThemeRiver: visualizing theme changes over time the river:可视化主题随着时间的推移而变化

IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings Pub Date : 2000-10-09 DOI: 10.1109/INFVIS.2000.885098

S. Havre, E. Hetzler, Lucy T. Nowell

引用次数: 500

Getting portals to behave 使门户正常工作

IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings Pub Date : 2000-10-09 DOI: 10.1109/INFVIS.2000.885087

Christopher Olston, Allison Woodruff

{"title":"Getting portals to behave","authors":"Christopher Olston, Allison Woodruff","doi":"10.1109/INFVIS.2000.885087","DOIUrl":"https://doi.org/10.1109/INFVIS.2000.885087","url":null,"abstract":"Data visualization environments help users understand and analyze their data by permitting interactive browsing of graphical representations of the data. To further facilitate understanding and analysis, many visualization environments have special features known as portals, which are sub-windows of a data canvas. Portals provide a way to display multiple graphical representations simultaneously, in a nested fashion. This makes portals an extremely powerful and flexible paradigm for data visualization. Unfortunately, with this flexibility comes complexity. There are over a hundred possible ways each portal can be configured to exhibit different behaviors. Many of these behaviors are confusing and certain behaviors can be inappropriate for a particular setting. It is desirable to eliminate confusing and inappropriate behaviors. The authors construct a taxonomy of portal behaviors and give recommendations to help designers of visualization systems decide which behaviors are intuitive and appropriate for a particular setting. They apply these recommendations to an example setting that is fully visually programmable and analyze the resulting reduced set of behaviors. Finally, the authors consider a real visualization environment and demonstrate some problems associated with behaviors that do not follow their recommendations.","PeriodicalId":399031,"journal":{"name":"IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115878927","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

Polaris: a system for query, analysis and visualization of multi-dimensional relational databases Polaris:一个多维关系数据库的查询、分析和可视化系统

IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings Pub Date : 2000-10-09 DOI: 10.1109/INFVIS.2000.885086

Chris Stolte, Diane Tang, P. Hanrahan

{"title":"Polaris: a system for query, analysis and visualization of multi-dimensional relational databases","authors":"Chris Stolte, Diane Tang, P. Hanrahan","doi":"10.1109/INFVIS.2000.885086","DOIUrl":"https://doi.org/10.1109/INFVIS.2000.885086","url":null,"abstract":"In the last several years, large multi-dimensional databases have become common in a variety of applications such as data warehousing and scientific computing. Analysis and exploration tasks place significant demands on the interfaces to these databases. Because of the size of the data sets, dense graphical representations are more effective for exploration than spreadsheets and charts. Furthermore, because of the exploratory nature of the analysis, it must be possible for the analysts to change visualizations rapidly as they pursue a cycle involving first hypothesis and then experimentation. The authors present Polaris, an interface for exploring large multi-dimensional databases that extends the well-known Pivot Table interface. The novel features of Polaris include an interface for constructing visual specifications of table based graphical displays and the ability to generate a precise set of relational queries from the visual specifications. The visual specifications can be rapidly and incrementally developed, giving the analyst visual feedback as they construct complex queries and visualizations.","PeriodicalId":399031,"journal":{"name":"IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124788769","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: 721