Pub Date : 2000-10-09DOI: 10.1109/INFVIS.2000.885099
A. Leuski, James Allan
Lighthouse is an on-line interface for a Web-based information retrieval system. It accepts queries from a user, collects the retrieved documents from the search engine, organizes and presents them to the user. The system integrates two known presentations of the retrieved results, the ranked list and clustering visualization, in a novel and effective way. It accepts the user's input and adjusts the document visualization accordingly. We give a brief overview of the system.
{"title":"Lighthouse: showing the way to relevant information","authors":"A. Leuski, James Allan","doi":"10.1109/INFVIS.2000.885099","DOIUrl":"https://doi.org/10.1109/INFVIS.2000.885099","url":null,"abstract":"Lighthouse is an on-line interface for a Web-based information retrieval system. It accepts queries from a user, collects the retrieved documents from the search engine, organizes and presents them to the user. The system integrates two known presentations of the retrieved results, the ranked list and clustering visualization, in a novel and effective way. It accepts the user's input and adjusts the document visualization accordingly. We give a brief overview of the system.","PeriodicalId":399031,"journal":{"name":"IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings","volume":"147 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":"116621667","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}
Pub Date : 2000-10-09DOI: 10.1109/INFVIS.2000.885088
M. Kreuseler, Norma López, H. Schumann
The paper describes major concepts of a scalable information visualization framework. We assume that the exploration of heterogeneous information spaces at arbitrary levels of detail requires a suitable preprocessing of information quantities, the combination of different graphical interfaces and the illustration of the frame of reference of given information sets. The innovative features of our system include: dynamic hierarchy computation and user controlled refinement of those hierarchies for preprocessing unstructured information spaces; a new Focus+Context technique for visualizing complex hierarchy graphs; a new paradigm for visualizing information structures within their frame of reference; and a new graphical interface that utilizes textual similarities to arrange objects of high dimensional information space in 3-dimensional visualization space.
{"title":"A scalable framework for information visualization","authors":"M. Kreuseler, Norma López, H. Schumann","doi":"10.1109/INFVIS.2000.885088","DOIUrl":"https://doi.org/10.1109/INFVIS.2000.885088","url":null,"abstract":"The paper describes major concepts of a scalable information visualization framework. We assume that the exploration of heterogeneous information spaces at arbitrary levels of detail requires a suitable preprocessing of information quantities, the combination of different graphical interfaces and the illustration of the frame of reference of given information sets. The innovative features of our system include: dynamic hierarchy computation and user controlled refinement of those hierarchies for preprocessing unstructured information spaces; a new Focus+Context technique for visualizing complex hierarchy graphs; a new paradigm for visualizing information structures within their frame of reference; and a new graphical interface that utilizes textual similarities to arrange objects of high dimensional information space in 3-dimensional visualization space.","PeriodicalId":399031,"journal":{"name":"IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings","volume":"11 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":"133057949","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}
Pub Date : 2000-10-09DOI: 10.1109/INFVIS.2000.885089
J. Abello, Jeffrey L. Korn
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.
{"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}
Pub Date : 2000-10-09DOI: 10.1109/INFVIS.2000.885104
C. R. D. Santos, P. Gros, P. Abel, D. Loisel, N. Trichaud, J. Paris
Anyone who has ever experienced three-dimensional (3D) interfaces will agree that navigating in a 3D world is not a trivial task. The user interface of traditional 3D browsers provides simple navigation tools that allow the user to modify the camera parameters such as orientation, position and focal. Using these tools, it is frequent that, after some movements, the user is lost in the virtual 3D space and usually tries to restart from the beginning. We present how the 3D navigation problem is addressed in the context of the CyberNet project (Abel et al., 2000). Our underlying principle is to help the user navigate by adapting the navigation tool to the virtual world. We feel that the navigation schemes provided by the 3D browsers are too generic for some specific 3D tools and we have developed adaptive navigation features that are dependent on the 3D metaphor used for visualizing the information and on the user's task.
任何体验过三维(3D)界面的人都会同意，在3D世界中导航不是一件小事。传统3D浏览器的用户界面提供了简单的导航工具，允许用户修改相机参数，如方向、位置和焦距。使用这些工具时，用户经常会在一些动作后迷失在虚拟3D空间中，并且通常会尝试从头开始。我们介绍了如何在CyberNet项目的背景下解决3D导航问题(Abel et al.， 2000)。我们的基本原则是通过使导航工具适应虚拟世界来帮助用户导航。我们觉得3D浏览器提供的导航方案对于某些特定的3D工具来说过于通用，因此我们开发了自适应导航功能，这些功能依赖于用于可视化信息和用户任务的3D隐喻。
{"title":"Metaphor-aware 3D navigation","authors":"C. R. D. Santos, P. Gros, P. Abel, D. Loisel, N. Trichaud, J. Paris","doi":"10.1109/INFVIS.2000.885104","DOIUrl":"https://doi.org/10.1109/INFVIS.2000.885104","url":null,"abstract":"Anyone who has ever experienced three-dimensional (3D) interfaces will agree that navigating in a 3D world is not a trivial task. The user interface of traditional 3D browsers provides simple navigation tools that allow the user to modify the camera parameters such as orientation, position and focal. Using these tools, it is frequent that, after some movements, the user is lost in the virtual 3D space and usually tries to restart from the beginning. We present how the 3D navigation problem is addressed in the context of the CyberNet project (Abel et al., 2000). Our underlying principle is to help the user navigate by adapting the navigation tool to the virtual world. We feel that the navigation schemes provided by the 3D browsers are too generic for some specific 3D tools and we have developed adaptive navigation features that are dependent on the 3D metaphor used for visualizing the information and on the user's task.","PeriodicalId":399031,"journal":{"name":"IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings","volume":"9 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":"127873092","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}
Pub Date : 2000-10-09DOI: 10.1109/INFVIS.2000.885101
T. Overbye, J. Weber
One area in need of new research in information visualization is the operation and analysis of large-scale electric power systems. In analyzing power systems, one is usually confronted with a large amount of multivariate data. With systems containing tens of thousands of electrical nodes (buses), a key challenge is to present this data in a form so the user can assess the state of the system in an intuitive and quick manner. This is particularly true when trying to analyze relationships between actual network power flows, the scheduled power flows, and the capacity of the transmission system. With electric industry restructuring and the move towards having a single entity, such as an independent system operator or pool, operate a much larger system, this need has become more acute. This paper presents several power system visualization techniques to help in this task. These techniques include animation of power system flow values, contouring of bus and transmission line flow values, data aggregation techniques and interactive 3D data visualization.
{"title":"New methods for the visualization of electric power system information","authors":"T. Overbye, J. Weber","doi":"10.1109/INFVIS.2000.885101","DOIUrl":"https://doi.org/10.1109/INFVIS.2000.885101","url":null,"abstract":"One area in need of new research in information visualization is the operation and analysis of large-scale electric power systems. In analyzing power systems, one is usually confronted with a large amount of multivariate data. With systems containing tens of thousands of electrical nodes (buses), a key challenge is to present this data in a form so the user can assess the state of the system in an intuitive and quick manner. This is particularly true when trying to analyze relationships between actual network power flows, the scheduled power flows, and the capacity of the transmission system. With electric industry restructuring and the move towards having a single entity, such as an independent system operator or pool, operate a much larger system, this need has become more acute. This paper presents several power system visualization techniques to help in this task. These techniques include animation of power system flow values, contouring of bus and transmission line flow values, data aggregation techniques and interactive 3D data visualization.","PeriodicalId":399031,"journal":{"name":"IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings","volume":"262 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":"133813388","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}
Pub Date : 2000-10-09DOI: 10.1109/INFVIS.2000.885090
I. Herman, M. S. Marshall, G. Melançon
Two tasks in graph visualization require partitioning: the assignment of visual attributes and divisive clustering. Often, we would like to assign a color or other visual attributes to a node or edge that indicates an associated value. In an application involving divisive clustering, we would like to partition the graph into subsets of graph elements based on metric values in such a way that all subsets are evenly populated. Assuming a uniform distribution of metric values during either partitioning or coloring can have undesired effects such as empty clusters or only one level of emphasis for the entire graph. Probability density functions derived from statistics about a metric can help systems succeed at these tasks.
{"title":"Density functions for visual attributes and effective partitioning in graph visualization","authors":"I. Herman, M. S. Marshall, G. Melançon","doi":"10.1109/INFVIS.2000.885090","DOIUrl":"https://doi.org/10.1109/INFVIS.2000.885090","url":null,"abstract":"Two tasks in graph visualization require partitioning: the assignment of visual attributes and divisive clustering. Often, we would like to assign a color or other visual attributes to a node or edge that indicates an associated value. In an application involving divisive clustering, we would like to partition the graph into subsets of graph elements based on metric values in such a way that all subsets are evenly populated. Assuming a uniform distribution of metric values during either partitioning or coloring can have undesired effects such as empty clusters or only one level of emphasis for the entire graph. Probability density functions derived from statistics about a metric can help systems succeed at these tasks.","PeriodicalId":399031,"journal":{"name":"IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings","volume":"52 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":"124028064","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}
Pub Date : 2000-10-09DOI: 10.1109/INFVIS.2000.885095
A. Skupin
By virtue of their spatio-cognitive abilities, humans are able to navigate through geographic space as well as meaningfully communicate geographic information represented in cartographic form. The current dominance of spatial metaphors in information visualization research is the result of the realization that those cognitive skills also have value in the exploration and analysis of non-geographic information. While mapping or landscape metaphors are routinely used in this field, there is a noticeable lack of consideration for existing cartographic expertise. This is especially apparent whenever problematic issues are encountered, such as graphic complexity or feature labeling. There are a number of areas in which a cartographic outlook could provide a valuable perspective. This paper discusses how geographic and cartographic notions may influence the design of visualizations for textual information spaces. Map projections, generalization, feature labeling and map design issues are discussed.
{"title":"From metaphor to method: cartographic perspectives on information visualization","authors":"A. Skupin","doi":"10.1109/INFVIS.2000.885095","DOIUrl":"https://doi.org/10.1109/INFVIS.2000.885095","url":null,"abstract":"By virtue of their spatio-cognitive abilities, humans are able to navigate through geographic space as well as meaningfully communicate geographic information represented in cartographic form. The current dominance of spatial metaphors in information visualization research is the result of the realization that those cognitive skills also have value in the exploration and analysis of non-geographic information. While mapping or landscape metaphors are routinely used in this field, there is a noticeable lack of consideration for existing cartographic expertise. This is especially apparent whenever problematic issues are encountered, such as graphic complexity or feature labeling. There are a number of areas in which a cartographic outlook could provide a valuable perspective. This paper discusses how geographic and cartographic notions may influence the design of visualizations for textual information spaces. Map projections, generalization, feature labeling and map design issues are discussed.","PeriodicalId":399031,"journal":{"name":"IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings","volume":"118 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":"126320124","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}
Pub Date : 2000-10-09DOI: 10.1109/INFVIS.2000.885098
S. Havre, E. Hetzler, Lucy T. Nowell
ThemeRiver/sup TM/ is a prototype system that visualizes thematic variations over time within a large collection of documents. The "river" flows from left to right through time, changing width to depict changes in thematic strength of temporally associated documents. Colored "currents" flowing within the river narrow or widen to indicate decreases or increases in the strength of an individual topic or a group of topics in the associated documents. The river is shown within the context of a timeline and a corresponding textual presentation of external events.
the river /sup TM/是一个原型系统，可以在大量文档中可视化随时间变化的主题变化。“河流”从左向右穿越时间，改变宽度来描绘与时间相关的文献主题强度的变化。河流中的彩色“水流”会变窄或变宽，以表示相关文档中单个主题或一组主题强度的减小或增加。这条河是在时间轴和外部事件的相应文本呈现的背景下显示的。
{"title":"ThemeRiver: visualizing theme changes over time","authors":"S. Havre, E. Hetzler, Lucy T. Nowell","doi":"10.1109/INFVIS.2000.885098","DOIUrl":"https://doi.org/10.1109/INFVIS.2000.885098","url":null,"abstract":"ThemeRiver/sup TM/ is a prototype system that visualizes thematic variations over time within a large collection of documents. The \"river\" flows from left to right through time, changing width to depict changes in thematic strength of temporally associated documents. Colored \"currents\" flowing within the river narrow or widen to indicate decreases or increases in the strength of an individual topic or a group of topics in the associated documents. The river is shown within the context of a timeline and a corresponding textual presentation of external events.","PeriodicalId":399031,"journal":{"name":"IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings","volume":"89 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":"122786645","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}
Pub Date : 2000-10-09DOI: 10.1109/INFVIS.2000.885087
Christopher Olston, Allison Woodruff
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.
{"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}
Pub Date : 2000-10-09DOI: 10.1109/INFVIS.2000.885086
Chris Stolte, Diane Tang, P. Hanrahan
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.
{"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}
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