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Hypothesis Visualization 假设可视化
IEEE Symposium on Information Visualization Pub Date : 2004-10-10 DOI: 10.1109/INFVIS.2004.29
Diane Cluxton, S. Eick, Jie Yun
{"title":"Hypothesis Visualization","authors":"Diane Cluxton, S. Eick, Jie Yun","doi":"10.1109/INFVIS.2004.29","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.29","url":null,"abstract":"We have constructed an information visualization tool for understanding complex arguments. The tool enables analysts to construct structured arguments using judicial proof techniques, associate evidence with hypotheses, and set evidence parameters such as relevance and credibility. Users manipulate the hypotheses and their associated inference networks using visualization techniques. Our tool integrates concepts from structured argumentation, analysis of competing hypotheses, and hypothesis scoring with information visualization. It presents new metaphors for visualizing and manipulating structured arguments.","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134152693","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
BEST PAPER: A Knowledge Task-Based Framework for Design and Evaluation of Information Visualizations 最佳论文:基于知识任务的信息可视化设计与评估框架
IEEE Symposium on Information Visualization Pub Date : 2004-10-10 DOI: 10.1109/INFVIS.2004.10
R. Amar, J. Stasko
{"title":"BEST PAPER: A Knowledge Task-Based Framework for Design and Evaluation of Information Visualizations","authors":"R. Amar, J. Stasko","doi":"10.1109/INFVIS.2004.10","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.10","url":null,"abstract":"The design and evaluation of most current information visualization systems descend from an emphasis on a user's ability to \"unpack\" the representations of data of interest and operate on them independently. Too often, successful decision-making and analysis are more a matter of serendipity and user experience than of intentional design and specific support for such tasks; although humans have considerable abilities in analyzing relationships from data, the utility of visualizations remains relatively variable across users, data sets, and domains. In this paper, we discuss the notion of analytic gaps, which represent obstacles faced by visualizations in facilitating higher-level analytic tasks, such as decision-making and learning. We discuss support for bridging the analytic gap, propose a framework for design and evaluation of information visualization systems, and demonstrate its use","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133411683","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: 198
Major Information Visualization Authors, Papers and Topics in the ACM Library ACM图书馆的主要信息可视化作者、论文和主题
IEEE Symposium on Information Visualization Pub Date : 2004-10-10 DOI: 10.1109/INFVIS.2004.45
W. Ke, K. Börner, Lalitha Viswanath
{"title":"Major Information Visualization Authors, Papers and Topics in the ACM Library","authors":"W. Ke, K. Börner, Lalitha Viswanath","doi":"10.1109/INFVIS.2004.45","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.45","url":null,"abstract":"The presented work aims to identify major research topics, co-authorships, and trends in the IV Contest 2004 dataset. Co-author, paper-citation, and burst analysis were used to analyze the dataset. The results are visually presented as graphs, static Pajek [1] visualizations and interactive network layouts using Pajek’s SVG output feature. A complementary web page with all the raw data, details of the analyses, and high resolution images of all figures is available online at http://iv.slis.indiana.edu/ref/iv04contest/.","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126125202","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
Exploring InfoVis Publication History with Tulip 用Tulip探索InfoVis的出版历史
IEEE Symposium on Information Visualization Pub Date : 2004-10-10 DOI: 10.1109/INFVIS.2004.23
M. Delest, T. Munzner, D. Auber, J. Domenger
{"title":"Exploring InfoVis Publication History with Tulip","authors":"M. Delest, T. Munzner, D. Auber, J. Domenger","doi":"10.1109/INFVIS.2004.23","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.23","url":null,"abstract":"We show the structure of the InfoVis publications dataset using Tulip, a scalable open-source visualization system for graphs and trees. Tulip supports interactive navigation and many options for layout. Subgraphs of the full dataset can be created interactively or using a wide set of algorithms based on graph theory and combinatorics, including several kinds of clustering. We found that convolution clustering and small world clustering were particularly effective at showing the structure of the InfoVis publications dataset, as was coloring by the Strahler metric.","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"273 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122289088","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
Tracking User Interactions Within Visualizations 在可视化中跟踪用户交互
IEEE Symposium on Information Visualization Pub Date : 2004-10-10 DOI: 10.1109/INFVIS.2004.67
D. Groth, B. W. Murphy
{"title":"Tracking User Interactions Within Visualizations","authors":"D. Groth, B. W. Murphy","doi":"10.1109/INFVIS.2004.67","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.67","url":null,"abstract":"We present a model and prototype system for tracking user interactions within a visualization. The history of the interactions are exposed to the user in a way that supports non-linear navigation of the visualization space. The interactions can be augmented with annotations, which, together with the interactions, can be shared with other users and applied to other data in a seamless way. The techniques constitute a novel approach for documenting information provenance.","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"338 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124759633","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
Dynamic Drawing of Clustered Graphs 聚类图的动态绘制
IEEE Symposium on Information Visualization Pub Date : 2004-10-10 DOI: 10.1109/INFVIS.2004.18
Yaniv Frishman, A. Tal
{"title":"Dynamic Drawing of Clustered Graphs","authors":"Yaniv Frishman, A. Tal","doi":"10.1109/INFVIS.2004.18","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.18","url":null,"abstract":"This paper presents an algorithm for drawing a sequence of graphs that contain an inherent grouping of their vertex set into clusters. It differs from previous work on dynamic graph drawing in the emphasis that is put on maintaining the clustered structure of the graph during incremental layout. The algorithm works online and allows arbitrary modifications to the graph. It is generic and can be implemented using a wide range of static force-directed graph layout tools. The paper introduces several metrics for measuring layout quality of dynamic clustered graphs. The performance of our algorithm is analyzed using these metrics. The algorithm has been successfully applied to visualizing mobile object software","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129518469","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: 118
IN-SPIRE InfoVis 2004 Contest Entry IN-SPIRE InfoVis 2004参赛作品
IEEE Symposium on Information Visualization Pub Date : 2004-10-10 DOI: 10.1109/INFVIS.2004.37
P. C. Wong, E. Hetzler, C. Posse, M. Whiting, S. Havre, Nick Cramer, A. Shah, M. Singhal, Alan Turner, James J. Thomas
{"title":"IN-SPIRE InfoVis 2004 Contest Entry","authors":"P. C. Wong, E. Hetzler, C. Posse, M. Whiting, S. Havre, Nick Cramer, A. Shah, M. Singhal, Alan Turner, James J. Thomas","doi":"10.1109/INFVIS.2004.37","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.37","url":null,"abstract":"This is the first part (summary) of a three-part contest entry submitted to IEEE InfoVis 2004. The contest topic is visualizing InfoVis symposium papers from 1995 to 2002 and their references. The paper introduces the visualization tool IN-SPIRE, the visualization process and results, and presents lessons learned.","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122878029","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: 57
Interactive Poster: Visual Mining of Business Process Data 交互式海报:业务流程数据的可视化挖掘
IEEE Symposium on Information Visualization Pub Date : 2004-10-10 DOI: 10.1109/INFVIS.2004.41
M. Hao, D. Keim, U. Dayal, Jörn Schneidewind
{"title":"Interactive Poster: Visual Mining of Business Process Data","authors":"M. Hao, D. Keim, U. Dayal, Jörn Schneidewind","doi":"10.1109/INFVIS.2004.41","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.41","url":null,"abstract":"Business process data is inherently large and complex, most often too complex to be directly visualized. Usually the business operations consist of many steps and alternatives and every data instance may take a different path through the process. In Figure 1, we show a fraud analysis process schema. Note that this business process is a very simple one; realistic business processes are at least 10 times larger.","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132508783","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
RecMap: Rectangular Map Approximations RecMap:矩形映射近似
IEEE Symposium on Information Visualization Pub Date : 2004-10-10 DOI: 10.1109/INFVIS.2004.57
R. Heilmann, D. Keim, Christian Panse, Mike Sips
{"title":"RecMap: Rectangular Map Approximations","authors":"R. Heilmann, D. Keim, Christian Panse, Mike Sips","doi":"10.1109/INFVIS.2004.57","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.57","url":null,"abstract":"In many application domains, data is collected and referenced by its geospatial location. Nowadays, different kinds of maps are used to emphasize the spatial distribution of one or more geospatial attributes. The nature of geospatial statistical data is the highly nonuniform distribution in the real world data sets. This has several impacts on the resulting map visualizations. Classical area maps tend to highlight patterns in large areas, which may, however, be of low importance. Cartographers and geographers used cartograms or value-by-area maps to address this problem long before computers were available. Although many automatic techniques have been developed, most of the value-by-area cartograms are generated manually via human interaction. In this paper, we propose a novel visualization technique for geospatial data sets called RecMap. Our technique approximates a rectangular partition of the (rectangular) display area into a number of map regions preserving important geospatial constraints. It is a fully automatic technique with explicit user control over all exploration constraints within the exploration process. Experiments show that our technique produces visualizations of geospatial data sets, which enhance the discovery of global and local correlations, and demonstrate its performance in a variety of applications","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121525537","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
BinX: Dynamic Exploration of Time Series Datasets Across Aggregation Levels 跨聚合级别的时间序列数据集的动态探索
IEEE Symposium on Information Visualization Pub Date : 2004-10-10 DOI: 10.1109/INFVIS.2004.11
L. Berry, T. Munzner
{"title":"BinX: Dynamic Exploration of Time Series Datasets Across Aggregation Levels","authors":"L. Berry, T. Munzner","doi":"10.1109/INFVIS.2004.11","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.11","url":null,"abstract":"Many fields of study produce time series datasets, and both the size and number of theses datasets are increasing rapidly due to the improvement of data accumulation methods such as small, cheap sensors and routine logging of events. Humans often fail to comprehend the structure of a long time series dataset because of the overwhelming amount of data and the range of different time scales at which there may be meaningful patterns. BinX is an interactive tool that provides dynamic visualization and manipulation of long time series datasets. The dataset is visualized through user controlled aggregation, augmented by various information visualization techniques.","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116655614","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
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