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检索条件"任意字段=Conference on Visualization and Data Analysis 2008"

共 779 条记录，以下是171-180 订阅

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Visualizing climate data on a tiled panel display: A user-centered approach

Visualizing climate data on a tiled panel display: A user-ce...

引用

Computer Graphics and visualization 2008 and Gaming 2008: Design for Engaging Experience and Social Interaction 2008, MCCSIS'08 - IADIS Multi conference on Computer Science and Information Systems

作者： Zudilova-Seinstra, Elena Adriaanse, Jorrit Berg, Axel Section Computational Science University of Amsterdam Kruislaan 403 1098 SJ Amsterdam Netherlands SARA Computing and Networking Services Kruislaan 415 1098 SJ Amsterdam Netherlands

ISBN: (纸本)9789728924638

Scientific experimentation related to analysis and prediction of climate changes is highly dynamic and requires various data to be processed simultaneously, including results of statistical modeling. Small displays often do not allow scientists to gain optimal access to these data due to the limited field of view they provide. In this project, we investigated how the complex climate data can be visualized using a large tiled panel display (TPD). We present a prototype of the multi-display visualization environment developed to assist the image-based analysis carried out by the specialists from the Royal Dutch Meteorological Institute (KNMI). We discuss results of a contextual inquiry performed to identify needs and requirements for the visualization of climate data and report on results of an empirical study aimed to validate how willing and able domain specialists are to adopt the new visualization technology. © 2008 IADIS.

关键词： visualization

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Information visualization: Which the most appropriate technique to represent data mining results?

Information visualization: Which the most appropriate techni...

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2008 International conference on Computational Intelligence for Modelling Control and Automation, CIMCA 2008

作者： Rabelo, Emerson Dias, Maria Franco, Clélia Pacheco, Roberto C. S. State University of Maringá CTC DIN Maringa Brazil Federal University of Santa Catarina Department of Informatics and Statistics Santa Catarina Mexico

ISBN: (纸本)9780769535142

data mining (DM) is a research area that has been contributing in the search for implicit knowledge that can give support to decision making. However, the analysis of the results obtained by using the techniques of DM is not an easy task. Such difficulty can be minimized, by using techniques of information visualization. But the issue is: which will be the most appropriate technique for each type of result to be analyzed? To help in the choice of techniques, this paper presents an evaluation of techniques for information visualization. Such task was accomplished by using the method known as analysis of Characteristics, having as result the analysis on the effectiveness when using techniques of geometric and iconographical information visualization, mainly in relation to the results obtained with the application of K-means algorithm. © 2008 IEEE.

关键词： data mining

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Visualizing multidimensional query results using animation

Visualizing multidimensional query results using animation

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conference on visualization and data analysis 2008

作者： Sawant, Amit P. Healey, Christopher G. N Carolina State Univ Dept Comp Sci Raleigh NC 27695 USA

ISBN: (纸本)9780819469816

Effective representation of large, complex collections of information (datasets) presents a difficult challenge. visualization is a solution that uses a visual interface to support efficient analysis and discovery within the data. Our primary goal in this paper is a technique that allows viewers to compare multiple query results representing user-selected subsets of a multidimensional dataset. We present an algorithm that visualizes multidimensional information along a space-filling spiral. Graphical glyphs that vary their position, color, and texture appearance are used to represent attribute values for the data elements in each query result. Guidelines from human perception allow us to construct glyphs that are specifically designed to support exploration, facilitate the discovery of trends and relationships both within and between data elements, and highlight exceptions. A clustering algorithm applied to a user-chosen ranking attribute bundles together similar data elements. This encapsulation is used to show relationships across different queries via animations that morph between query results. We apply our techniques to the MovieLens recommender system, to demonstrate their applicability in a real-world environment, and then conclude with a simple validation experiment to identify the strengths and limitations of our design, compared to a traditional side-by-side visualization.

关键词： animation color information visualization motion perception scientific visualization texture

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引用

12th International conference Information Visualisation 2008

作者： Alencar, A. B. Paulovich, F. V. Minghim, R. Andrade, M. G. Oliveira, M. C. R. Univ Sao Paulo Inst Ciencias Matemat & Computacao BR-05508 Sao Paulo Brazil

ISBN: (纸本)9780769532684

Time series analysis poses many challenges to professionals in a wide range of domains. Several visualization solutions have been proposed for exploratory tasks on time series collections. For large data sets, however current techniques fail to provide a global view that supports a good association between groups of similar time series. We employ fast multidimensional projection techniques to create concise visual representations of a collection of time series. The whole collection can be viewed in a two-dimensional graph-based representation that provides a starting point for further exploration and detailed analysis. The projections employ distance metrics to compare the series and generate a layout that attempts to group those with similar behavior. We illustrate the approach on a real data set containing streamflows describing the behavior of hydroelectric power plants in Brazil.

关键词： Hydroelectric power plants

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visualization of multidimensional database

Visualization of multidimensional database

引用

conference on visualization and data analysis 2008

作者： Lee, Chung Calif State Polytech Univ Pomona Dept Comp Sci Pomona CA 91768 USA

ISBN: (纸本)9780819469816

The concept of multidimensional databases has been extensively researched and wildly used in actual database application. It plays an important role in contemporary information technology, but due to the complexity of its inner structure, the database design is a complicated process and users are having a hard time fully understanding and using the database. An effective visualization tool for higher dimensional information system helps database designers and users alike. Most visualization techniques focus on displaying dimensional data using spreadsheets and charts. This may be sufficient for the databases having three or fewer dimensions but for higher dimensions, various combinations of projection operations are needed and a full grasp of total database architecture is very difficult. This study reviews existing visualization techniques for multidimensional database and then proposes an alternate approach to visualize a database of any dimension by adopting the tool proposed by Kiviat for software engineering processes. In this diagramming method, each dimension is represented by one branch of concentric spikes. This paper documents a C++ based visualization tool with extensive use of OpenGL graphics library and GUI functions. Detailed examples of actual databases demonstrate the feasibility and effectiveness in visualizing multidimensional databases.

关键词： multi-dimensional database GUI data visualization OLAP Kiviat diagram

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Butterfly Plots for Visual analysis of Large Point Cloud data

Butterfly Plots for Visual Analysis of Large Point Cloud Dat...

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16th International conference in Central Europe on Computer Graphics, visualization and Computer Vision

作者： Schreck, Tobias Schuessler, Michael Worm, Katja Zeilfelder, Frank Tech Univ Darmstadt Darmstadt Germany Siemens ElectroCom Postautomat GmbH Berlin Germany

ISBN: (纸本)9788086943152

visualization of 2D point clouds is one of the most basic yet one of the most important problems in many visual data analysis tasks. Point clouds arise in many contexts including scatter plot analysis, or the visualization of high-dimensional or geo-spatial data. Typical analysis tasks in point cloud data include assessing the overall structure and distribution of the data, assessing spatial relationships between data elements, and identification of clusters and outliers. Standard point-based visualization methods do not scale well with respect to the data set size. Specifically, as the number of data points and data classes increases, the display quickly gets crowded, making it difficult to effectively analyze the point clouds. We propose to abstract large sets of point clouds to compact shapes, facilitating the scalability of point cloud visualization with respect to data set size. We introduce a novel algorithm for constructing compact shapes that enclose all members of a given point cloud, providing good perceptional properties and supporting visual analysis of large data sets of many overlapping point clouds. We apply the algorithm in two different applications, demonstrating the effectiveness of the technique for large point cloud data. We also present an evaluation of key shape metrics, showing the efficiency of the solution as compared to standard approaches.

关键词： Visual Analytics Point Clouds Visual Aggregation Shape Construction Shape Refinement

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An interactive 3D visualization model by live streaming for remote scientific visualization

An interactive 3D visualization model by live streaming for ...

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3rd International conference on Computer Graphics Theory and Applications

作者： Touma, Eriko Hara, Satomi Kurumi, Mari Shirakawa, Yuri Ishikawa, Chisato Takata, Masami Horinouchi, Takeshi Joe, Kazuki Nara Womens Univ Grad Sch Humanities & Sci Nara 630 Japan

ISBN: (纸本)9789898111203

Recent improvement of high-end GPUs has made it possible to perform real-time 3D visualization such as volume rendering and 3D contour plot for scientific data locally. A web browser based remote 3D visualization by visualization servers is attractive, but data transfer overhead prevents from performing interactive operations. We propose an interactive remote 3D visualization model by live streaming for geophysical fluids research. In this model, we use live streaming flash media for the web browser based operations keeping minimum quality of data analysis and minimum bit rate for live streaming of flash media. Preliminary experiments with a prototype system validate the effectiveness of our proposing model.

关键词： 3D visualization live streaming GPGPU geophysical fluids

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Multivariate Visual Explanation for High Dimensional datasets

Multivariate Visual Explanation for High Dimensional Dataset...

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IEEE Symposium on Visual Analytics Science and Technology

作者： Barlowe, Scott Zhang, Tianyi Liu, Yujie Yang, Jing Jacobs, Donald Univ N Carolina Dept Comp Sci Charlotte NC 28223 USA Univ N Carolina Dept Phys & Opt Sci Charlotte NC 28223 USA

ISBN: (纸本)9781424429356

Understanding multivariate relationships is an important task in multivariate data analysis. Unfortunately, existing multivariate visualization systems lose effectiveness when analyzing relationships among variables that span more than a few dimensions. We present a novel multivariate visual explanation approach that helps users interactively discover multivariate relationships among a large number of dimensions by integrating automatic numerical differentiation techniques and multidimensional visualization techniques. The result is an efficient workflow for multivariate analysis model construction, interactive dimension reduction, and multivariate knowledge discovery leveraging both automatic multivariate analysis and interactive multivariate data visual exploration. Case studies and a formal user study with a real dataset illustrate the effectiveness of this approach.

关键词： visual analysis multivariate analysis dimension reduction multivariate model construction multivariate visualization

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Visual Mining of Multimedia data for Social and Behavioral Studies

Visual Mining of Multimedia Data for Social and Behavioral S...

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IEEE Symposium on Visual Analytics Science and Technology

作者： Yu, Chen Zhong, Yiwen Smith, Thomas Park, Ikhyun Huang, Weixia Indiana Univ Bloomington IN 47405 USA

ISBN: (纸本)9781424429356

With advances in computing techniques, a large amount of high-resolution high-quality multimedia data (video and audio, etc.) has been collected in research laboratories in various scientific disciplines, particularly in social and behavioral studies. How to automatically and effectively discover new knowledge from rich multimedia data poses a compelling challenge since state-of-the-art data mining techniques can most often only search and extract pre-defined patterns or knowledge from complex heterogeneous data. In light of this, our approach is to take advantages of both the power of human perception system and the power of computational algorithms. More specifically, we propose an approach that allows scientists to use data mining as a first pass, and then forms a closed loop of visual analysis of current results followed by more data mining work inspired by visualization, the results of which can be in turn visualized and lead to the next round of visual exploration and analysis. In this way, new insights and hypotheses gleaned from the raw data and the current level of analysis can contribute to further analysis. As a first step toward this goal, we implement a visualization system with three critical components: (1) A smooth interface between visualization and data mining. The new analysis results can be automatically loaded into our visualization tool. (2) A flexible tool to explore and query temporal data derived from raw multimedia data. We represent temporal data into two forms - continuous variables and event variables. We have developed various ways to visualize both temporal correlations and statistics of multiple variables with the same type, and conditional and high-order statistics between continuous and event variables. (3) A seamless interface between raw multimedia data and derived data. Our visualization tool allows users to explore, compare, and analyze multi-stream derived variables and simultaneously switch to access raw multimedia data. We de

关键词： visual data mining multimedia data

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Integrating Statistics and visualization: Case Studies of Gaining Clarity during Exploratory data analysis 08

Integrating Statistics and Visualization: Case Studies of Ga...

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26th Annual CHI conference on Human Factors in Computing Systems

作者： Perer, Adam Shneiderman, Ben Univ Maryland Human Comp Interact Lab College Pk MD 20742 USA

ISBN: (纸本)9781605580111

Although both statistical methods and visualizations have been used by network analysts, exploratory data analysis remains a challenge. We propose that a tight integration of these technologies in an interactive exploratory tool could dramatically speed insight development. To test the power of this integrated approach, we created a novel social network analysis tool, SocialAction, and conducted four long-term case studies with domain experts, each working on unique data sets with unique problems. The structured replicated case studies show that the integrated approach in SocialAction led to significant discoveries by a political analyst, a bibliometrician, a healthcare consultant, and a counter-terrorism researcher. Our contributions demonstrate that the tight integration of statistics and visualizations improves exploratory data analysis, and that our evaluation methodology for long-term case studies captures the research strategies of data analysts.

关键词： Information visualization statistics social networks evaluation case studies exploratory data analysis

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