IEEE Symposium on Information Visualization, 2005. INFOVIS 2005.最新文献_第2页

Dynamic visualization of graphs with extended labels 具有扩展标签的图形的动态可视化

IEEE Symposium on Information Visualization, 2005. INFOVIS 2005. Pub Date : 2005-10-23 DOI: 10.1109/INFVIS.2005.1532131

P. C. Wong, Patrick Mackey, Ken Perrine, James R. Eagan, Harlan Foote, James J. Thomas

引用次数: 43

Two-tone pseudo coloring: compact visualization for one-dimensional data 双色伪着色:一维数据的紧凑可视化

IEEE Symposium on Information Visualization, 2005. INFOVIS 2005. Pub Date : 2005-10-23 DOI: 10.1109/INFVIS.2005.1532144

Takafumi Saito, H. Miyamura, Mitsuyoshi Yamamoto, Hiroki Saito, Yuka Hoshiya, Takumi Kaseda

{"title":"Two-tone pseudo coloring: compact visualization for one-dimensional data","authors":"Takafumi Saito, H. Miyamura, Mitsuyoshi Yamamoto, Hiroki Saito, Yuka Hoshiya, Takumi Kaseda","doi":"10.1109/INFVIS.2005.1532144","DOIUrl":"https://doi.org/10.1109/INFVIS.2005.1532144","url":null,"abstract":"A new pseudo coloring technique for large scale one-dimensional datasets is proposed. For visualization of a large scale dataset, user interaction is indispensable for selecting focus areas in the dataset. However, excessive switching of the visualized image makes it difficult for the user to recognize overview/ detail and detail/ detail relationships. The goal of this research is to develop techniques for visualizing details as precisely as possible in overview display. In this paper, visualization of a one-dimensional but very large dataset is considered. The proposed method is based on pseudo coloring, however, each scalar value corresponds to two discrete colors. By painting with two colors at each value, users can read out the value precisely. This method has many advantages: it requires little image space for visualization; both the overview and details of the dataset are visible in one image without distortion; and implementation is very simple. Several application examples, such as meteorological observation data and train convenience evaluation data, show the effectiveness of the method.","PeriodicalId":123643,"journal":{"name":"IEEE Symposium on Information Visualization, 2005. INFOVIS 2005.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115004463","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: 147

Importance-driven visualization layouts for large time series data 大型时间序列数据的重要性驱动可视化布局

IEEE Symposium on Information Visualization, 2005. INFOVIS 2005. Pub Date : 2005-10-23 DOI: 10.1109/INFVIS.2005.1532148

M. Hao, U. Dayal, D. Keim, T. Schreck

{"title":"Importance-driven visualization layouts for large time series data","authors":"M. Hao, U. Dayal, D. Keim, T. Schreck","doi":"10.1109/INFVIS.2005.1532148","DOIUrl":"https://doi.org/10.1109/INFVIS.2005.1532148","url":null,"abstract":"Time series are an important type of data with applications in virtually every aspect of the real world. Often a large number of time series have to be monitored and analyzed in parallel. Sets of time series may show intrinsic hierarchical relationships and varying degrees of importance among the individual time series. Effective techniques for visually analyzing large sets of time series should encode the relative importance and hierarchical ordering of the time series data by size and position, and should also provide a high degree of regularity in order to support comparability by the analyst. In this paper, we present a framework for visualizing large sets of time series. Based on the notion of inter time series importance relationships, we define a set of objective functions that space-filling layout schemes for time series data should obey. We develop an efficient algorithm addressing the identified problems by generating layouts that reflect hierarchy and importance based relationships in a regular layout with favorable aspect ratios. We apply our technique to a number of real world data sets including sales and stock data, and we compare our technique with an aspect ratio aware variant of the well known TreeMap algorithm. The examples show the advantages and practical usefulness of our layout algorithm.","PeriodicalId":123643,"journal":{"name":"IEEE Symposium on Information Visualization, 2005. INFOVIS 2005.","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126293152","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: 65

Dig-CoLa: directed graph layout through constrained energy minimization digi - cola:通过约束能量最小化的有向图布局

IEEE Symposium on Information Visualization, 2005. INFOVIS 2005. Pub Date : 2005-10-23 DOI: 10.1109/INFVIS.2005.1532130

Tim Dwyer, Y. Koren

引用次数: 55

An optimization-based approach to dynamic visual context management 一种基于优化的动态可视化上下文管理方法

IEEE Symposium on Information Visualization, 2005. INFOVIS 2005. Pub Date : 2005-10-23 DOI: 10.1109/INFVIS.2005.1532146

Zhen Wen, Michelle X. Zhou, Vikram Aggarwal

{"title":"An optimization-based approach to dynamic visual context management","authors":"Zhen Wen, Michelle X. Zhou, Vikram Aggarwal","doi":"10.1109/INFVIS.2005.1532146","DOIUrl":"https://doi.org/10.1109/INFVIS.2005.1532146","url":null,"abstract":"We are building an intelligent multimodal conversation system to aid users in exploring large and complex data sets. To tailor to diverse user queries introduced during a conversation, we automate the generation of system responses, including both spoken and visual outputs. In this paper, we focus on the problem of visual context management, a process that dynamically updates an existing visual display to effectively incorporate new information requested by subsequent user queries. Specifically, we develop an optimization based approach to visual context management. Compared to existing approaches, which normally handle predictable visual context updates, our work offers two unique contributions. First, we provide a general computational framework that can effectively manage a visual context for diverse, unanticipated situations encountered in a user system conversation. Moreover, we optimize the satisfaction of both semantic and visual constraints, which otherwise are difficult to balance using simple heuristics. Second, we present an extensible representation model that uses feature based metrics to uniformly define all constraints. We have applied our work to two different applications and our evaluation has shown the promise of this work.","PeriodicalId":123643,"journal":{"name":"IEEE Symposium on Information Visualization, 2005. INFOVIS 2005.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131998288","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

Graph-theoretic scagnostics 用scagnostics

IEEE Symposium on Information Visualization, 2005. INFOVIS 2005. Pub Date : 2005-10-23 DOI: 10.1109/INFVIS.2005.1532142

Leland Wilkinson, Anushka Anand, R. Grossman

引用次数: 307

Flow map layout 流程图布局

IEEE Symposium on Information Visualization, 2005. INFOVIS 2005. Pub Date : 2005-10-23 DOI: 10.1109/INFOVIS.2005.13

Doantam Phan, Ling Xiao, Ron B. Yeh, P. Hanrahan, T. Winograd

引用次数: 355

Voronoi treemaps Voronoi treemaps

IEEE Symposium on Information Visualization, 2005. INFOVIS 2005. Pub Date : 2005-10-23 DOI: 10.1109/INFVIS.2005.1532128

Michael Balzer, O. Deussen

引用次数: 179

Baby names, visualization, and social data analysis 婴儿名字，可视化和社会数据分析

IEEE Symposium on Information Visualization, 2005. INFOVIS 2005. Pub Date : 2005-10-23 DOI: 10.1109/INFVIS.2005.1532122

M. Wattenberg

引用次数: 159

Elastic hierarchies: combining treemaps and node-link diagrams 弹性层次结构:结合树状图和节点链接图

IEEE Symposium on Information Visualization, 2005. INFOVIS 2005. Pub Date : 2005-10-23 DOI: 10.1109/INFOVIS.2005.12

Shengdong Zhao, Michael J. McGuffin, M. Chignell

引用次数: 130