{"title":"Matrix Zoom: A Visual Interface to Semi-External Graphs","authors":"J. Abello, F. V. Ham","doi":"10.1109/INFVIS.2004.46","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.46","url":null,"abstract":"In Web data, telecommunications traffic and in epidemiological studies, dense subgraphs correspond to subsets of subjects (i.e. users, patients) that share a collection of attributes values (i.e. accessed Web pages, email-calling patterns or disease diagnostic profiles). Visual and computational identification of these \"clusters\" becomes useful when domain experts desire to determine those factors of major influence in the formation of access and communication clusters or in the detection and contention of disease spread. With the current increases in graphic hardware capabilities and RAM sizes, it is more useful to relate graph sizes to the available screen real estate S and the amount of available RAM M, instead of the number of edges or nodes in the graph. We offer a visual interface that is parameterized by M and S and is particularly suited for navigation tasks that require the identification of subgraphs whose edge density is above certain threshold. This is achieved by providing a zoomable matrix view of the underlying data. This view is strongly coupled to a hierarchical view of the essential information elements present in the data domain. We illustrate the applicability of this work to the visual navigation of cancer incidence data and to an aggregated sample of phone call traffic","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"44 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":"131697612","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}
{"title":"User Experiments with Tree Visualization Systems","authors":"A. Kobsa","doi":"10.1109/INFVIS.2004.70","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.70","url":null,"abstract":"This paper describes a comparative experiment with five well-known tree visualization systems, and Windows Explorer as a baseline system. Subjects performed tasks relating to the structure of a directory hierarchy, and to attributes of files and directories. Task completion times, correctness and user satisfaction were measured, and video recordings of subjects' interaction with the systems were made. Significant system and task type effects and an interaction between system and task type were found. Qualitative analyses of the video recordings were thereupon conducted to determine reasons for the observed differences, resulting in several findings and design recommendations as well as implications for future experiments with tree visualization systems","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"63 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":"115903586","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}
{"title":"Visual Browsing of Remote and Distributed Data","authors":"P. Krishnaswamy, S. Eick, R. Grossman","doi":"10.1117/12.584371","DOIUrl":"https://doi.org/10.1117/12.584371","url":null,"abstract":"Data repositories around the world hold many thousands of data sets. Finding information from these data sets is greatly facilitated by being able to quickly and efficiently browse remote data sets. In this note, we introduce the Iconic Remote Visual Data Exploration tool(IRVDX), which is a visual data mining tool used for exploring the features of remote and distributed data without the necessity of downloading the entire data set. IRVDX employs three kinds of visualizations: one provides a reduced representation of the data sets, which we call Dataset Icons. These icons show the important statistical characteristics of data sets and help to identify relevant data sets from distributed repositories. Another one is called the Remote Dataset Visual Browser that provides visualizations to browse remote data without downloading the complete data set to identify its content. The final one provides visualizations to show the degree of similarity between two data sets and to visually determine whether a join of two remote data sets will be meaningful.","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"10 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":"127143601","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}
Michael J. McGuffin, Gord Davison, Ravin Balakrishnan
{"title":"Expand-Ahead: A Space-Filling Strategy for Browsing Trees","authors":"Michael J. McGuffin, Gord Davison, Ravin Balakrishnan","doi":"10.1109/INFVIS.2004.21","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.21","url":null,"abstract":"Many tree browsers allow subtrees under a node to be collapsed or expanded, enabling the user to control screen space usage and selectively drill-down. However, explicit expansion of nodes can be tedious. Expand-ahead is a space-filling strategy by which some nodes are automatically expanded to fill available screen space, without expanding so far that nodes are shown at a reduced size or outside the viewport. This often allows a user exploring the tree to see further down the tree without the effort required in a traditional browser. It also means the user can sometimes drill-down a path faster, by skipping over levels of the tree that are automatically expanded for them. Expand-ahead differs from many detail-in-context techniques in that there is no scaling or distortion involved. We present 1D and 2D prototype implementations of expand-ahead, and identify various design issues and possible enhancements to our designs. Our prototypes support smooth, animated transitions between different views of a tree. We also present the results of a controlled experiment which show that, under certain conditions, users are able to drill-down faster with expand-ahead than without","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"33 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":"127329885","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}
{"title":"A History Mechanism for Visual Data Mining","authors":"M. Kreuseler, T. Nocke, H. Schumann","doi":"10.1109/INFVIS.2004.2","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.2","url":null,"abstract":"A major challenge of current visualization and visual data mining (VDM) frameworks is to support users in the orientation in complex visual mining scenarios. An important aspect to increase user support and user orientation is to use a history mechanism that, first of all, provides un- and redoing functionality. In this paper, we present a new approach to include such history functionality into a VDM framework. Therefore, we introduce the theoretical background, outline design and implementation aspects of a history management unit, and conclude with a discussion showing the usefulness of our history management in a VDM framework","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"84 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":"126235693","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}
A. O. Artero, Maria Cristina Ferreira de Oliveira, H. Levkowitz
{"title":"Uncovering Clusters in Crowded Parallel Coordinates Visualizations","authors":"A. O. Artero, Maria Cristina Ferreira de Oliveira, H. Levkowitz","doi":"10.1109/INFVIS.2004.68","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.68","url":null,"abstract":"The one-to-one strategy of mapping each single data item into a graphical marker adopted in many visualization techniques has limited usefulness when the number of records and/or the dimensionality of the data set are very high. In this situation, the strong overlapping of graphical markers severely hampers the user's ability to identify patterns in the data from its visual representation. We tackle this problem here with a strategy that computes frequency or density information from the data set, and uses such information in parallel coordinates visualizations to filter out the information to be presented to the user, thus reducing visual clutter and allowing the analyst to observe relevant patterns in the data. The algorithms to construct such visualizations, and the interaction mechanisms supported, inspired by traditional image processing techniques such as grayscale manipulation and thresholding are also presented. We also illustrate how such algorithms can assist users to effectively identify clusters in very noisy large data sets","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":"128228163","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}
M. Granitzer, W. Kienreich, V. Sabol, K. Andrews, W. Klieber
{"title":"Evaluating a System for Interactive Exploration of Large, Hierarchically Structured Document Repositories","authors":"M. Granitzer, W. Kienreich, V. Sabol, K. Andrews, W. Klieber","doi":"10.1109/INFVIS.2004.19","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.19","url":null,"abstract":"The InfoSky visual explorer is a system enabling users to interactively explore large, hierarchically structured document collections. Similar to a real-world telescope, InfoSky employs a planar graphical representation with variable magnification. Documents of similar content are placed close to each other and displayed as stars, while collections of documents at a particular level in the hierarchy are visualised as bounding polygons. Usability testing of an early prototype implementation of InfoSky revealed several design issues which prevented users from fully exploiting the power of the visual metaphor. Evaluation results have been incorporated into an advanced prototype, and another usability test has been conducted. A comparison of test results demonstrates enhanced system performance and points out promising directions for further work","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"29 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":"114690646","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}
{"title":"Visualizing E-mail with a Semantically Zoomable Interface","authors":"E. Diep, R. Jacob","doi":"10.1109/INFVIS.2004.75","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.75","url":null,"abstract":"We introduce a semantically zoomable interface that displays emails as interactive objects rather than files containing lines of text, as in traditional e-mail interfaces. In this system, e-mails are displayed as node objects called e-mail nodes within a 2.5-dimensional world. The e-mail nodes are semantically zoomable and each may be rearranged to different locations within the plane to organize threads, topics, or projects. The prototype for this system was built using the Piccolo toolkit, the successor of Pad++ and Jazz [2, 3].","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"66 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":"132809845","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}
{"title":"Rethinking Visualization: A High-Level Taxonomy","authors":"Melanie Tory, Torsten Möller","doi":"10.1109/INFVIS.2004.59","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.59","url":null,"abstract":"We present the novel high-level visualization taxonomy. Our taxonomy classifies visualization algorithms rather than data. Algorithms are categorized based on the assumptions they make about the data being visualized; we call this set of assumptions the design model. Because our taxonomy is based on design models, it is more flexible than existing taxonomies and considers the user's conceptual model, emphasizing the human aspect of visualization. Design models are classified according to whether they are discrete or continuous and by how much the algorithm designer chooses display attributes such as spatialization, timing, colour, and transparency. This novel approach provides an alternative view of the visualization field that helps explain how traditional divisions (e.g., information and scientific visualization) relates and overlap, and that may inspire research ideas in hybrid visualization areas","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"115 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":"132182208","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}
E. Myers, P. Coppin, M. Wagner, K. Fischer, Luisa Lu, W. McCloskey, D. Seneker
{"title":"EventScope: Bringing Remote Experience of Mars to the Public through Telepresence","authors":"E. Myers, P. Coppin, M. Wagner, K. Fischer, Luisa Lu, W. McCloskey, D. Seneker","doi":"10.1109/INFVIS.2004.20","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.20","url":null,"abstract":"Telepresence, experiencing a place without physically being there, offers an important means for the public experience of remote locations such as distant continents or other planets. EventScope presents one such telepresence visualization interface for bringing scientific missions to the public. Currently, remote experience lessons based on NASA’s Mars Exploration Rover missions are being made available through the EventScope framework to museums, classrooms, and the public at large.","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"399 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133971047","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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