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检索条件"任意字段=Conference on Visualization and Data Analysis 2011"

共 1224 条记录，以下是91-100 订阅

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Engineering data formats: visualization, conversion and migration

Engineering data formats: Visualization, conversion and migr...

引用

International conference on Intelligent Control and Information Processing

作者： Zhao, Zhengxu Zhao, Wenbin School of Information Science and Technology Shijiazhuang Tiedao University Shijiazhuang Hebei 050043 China School of Instrument Science and Engineering Southeast University Nanjing Jiangsu 210096 China

ISBN: (纸本)9781457708145

Disperse engineering information constitutes a domain of complex relationship, into which research using visualization method could contribute significantly to its organization and preservation. A software and data format network graph which takes software and data formats as nodes is constructed in this paper. Comparing with the traditional network graphs which take data formats as nodes and software as edges, it offers better topological structure and retrieval efficiency. Based on Voronoi diagram, the visualization of the network graph is carried out, thereby the experimental analysis of the conversion relation between data formats provides reliable basis for migrating numerous disperse engineering information. © 2011 IEEE.

关键词： visualization

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A simulation and visualization platform for fractionated spacecraft attitude control system

A simulation and visualization platform for fractionated spa...

引用

2011 IEEE International conference on Mechatronics and Automation, ICMA 2011

作者： Bai, Xueliang Wu, Xiaofeng School of Aerospace Mechanical and Mechatronic Engineering University of Sydney Sydney NSW Australia

ISBN: (纸本)9781424481149

In order to approach the proposed attitude control process for space networking such as virtual and formation flying, a multiple spacecraft attitude simulation and visualization technique was developed with Matlab/STK interface and Matlab/NS2 interface to provide a visualized real-time control process, and instant data record for analysis. In this work, the author integrated works of NS2 and STK, and presented a Matlab GUI (Graphic User Interface) as an interface to synchronize Matlab, NS2 and STK, to implement a practical simulation platform for space network simulation and visualization. The simulation results showed that the time delay of the control process of the simulation platform is within a reasonable range. With the virtue of high computing capability of Matlab, wireless simulation of NS2 and the animate scene of STK, this paper provided a simulation platform for space network mission visualization and providing an integrity simulation data for further analysis purpose. © 2011 IEEE.

关键词： data visualization

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An Evaluation of Methods for Encoding Multiple, 2D Spatial data

An Evaluation of Methods for Encoding Multiple, 2D Spatial D...

引用

conference on visualization and data analysis 2011

作者： Livingston, Mark A. Decker, Jonathan Ai, Zhuming USN Res Lab Washington DC 20375 USA

ISBN: (纸本)9780819484055

datasets over a spatial domain are common in a number of fields, often with multiple layers (or variables) within data that must be understood together via spatial locality. Thus one area of long-standing interest is increasing the number of variables encoded by properties of the visualization. A number of properties have been demonstrated and/or proven successful with specific tasks or data, but there has been relatively little work comparing the utility of diverse techniques for multi-layer visualization. As part of our efforts to evaluate the applicability of such visualizations, we implemented five techniques which represent a broad range of existing research (Color Blending, Oriented Slivers, data-Driven Spots, Brush Strokes, and Stick Figures). Then we conducted a user study wherein subjects were presented with composites of three, four, and five layers (variables) using one of these methods and asked to perform a task common to our intended end users (GIS analysts). We found that the Oriented Slivers and data-Driven Spots performed the best, with Stick Figures yielding the lowest accuracy. Through analyzing our data, we hope to gain insight into which techniques merit further exploration and offer promise for visualization of data sets with ever-increasing size.

关键词： Multi-variate visualization scalar fields spatial surfaces glyphs color encoding user study

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Multi-Scale Visual Quality Assessment for Cluster analysis with Self-Organizing Maps

Multi-Scale Visual Quality Assessment for Cluster Analysis w...

引用

conference on visualization and data analysis 2011

作者： Bernard, Juergen von Landesberger, Tatiana Bremm, Sebastian Schreck, Tobias Tech Univ Darmstadt Interact Graph Syst Grp Darmstadt Germany

ISBN: (纸本)9780819484055

Cluster analysis is an important data mining technique for analyzing large amounts of data, reducing many objects to a limited number of clusters. Cluster visualization techniques aim at supporting the user in better understanding the characteristics and relationships among the found clusters. While promising approaches to visual cluster analysis already exist, these usually fall short of incorporating the quality of the obtained clustering results. However, due to the nature of the clustering process, quality plays an important aspect, as for most practical data sets, typically many different clusterings are possible. Being aware of clustering quality is important to judge the expressiveness of a given cluster visualization, or to adjust the clustering process with refined parameters, among others. In this work, we present an encompassing suite of visual tools for quality assessment of an important visual cluster algorithm, namely, the Self-Organizing Map (SOM) technique. We define, measure, and visualize the notion of SOM cluster quality along a hierarchy of cluster abstractions. The quality abstractions range from simple scalar-valued quality scores up to the structural comparison of a given SOM clustering with output of additional supportive clustering methods. The suite of methods allows the user to assess the SOM quality on the appropriate abstraction level, and arrive at improved clustering results. We implement our tools in an integrated system, apply it on experimental data sets, and show its applicability.

关键词： Visual Cluster analysis Self-Organizing Maps Cluster Comparison Quality visualization and Assessment Visual analysis

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visualization of Complex Relations in E-Government Knowledge Taxonomies

Visualization of Complex Relations in E-Government Knowledge...

引用

15th International conference on Information Visualisation (IV)

作者： Myrseth, Per Stang, Jorgen Skogan, David Det Norske Veritas Hovik Norway

ISBN: (纸本)9780769544762

The successful collaboration and interoperability between fully and partially related E-government subject domains requires well understood and high quality definitions of terms and a unified view of the relationships between the defined terms. The common terms and corresponding relation are defined in knowledge taxonomies (or even ontologies) and several good tools exist to create and maintain these models for the appropriate sub domains. The engineering process is carried out in a multi-user environment including remote workers editing the taxonomy. However, the sheer complexity and size of the full models dictates more powerful and dedicated visualization tools to graphically inspect, assess and diagnose the full taxonomies. This article describes a case where a social network analysis (SNA) tool is used as a part of a regime for the quality assurance of a knowledge taxonomy for e-government interoperability. In addition to the visual aids provided by the SNA tool, some comments are also made as to the applicability of SNA centrality metrics to knowledge taxonomies.

关键词： visualization knowledge taxonomies social network analysis ontology e-government metadata data quality

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A Randomized Framework for Discovery of Heterogeneous Mixtures

A Randomized Framework for Discovery of Heterogeneous Mixtur...

引用

conference on visualization and data analysis 2011

作者： Livingston, Mark A. Palepu, Aditya M. Decker, Jonathan Dermer, Mikel USN Res Lab Washington DC 20375 USA

ISBN: (纸本)9780819484055

Mixture models are the term given to models that consist of a combination of independent functions creating the distribution of points within a set. We present a framework for automatically discovering and evaluating candidate models within unstructured data. Our abstraction of models enables us to seamlessly consider different types of functions as equally possible candidates. Our framework does not require an estimate of the number of underlying models, allows points to be probabilistically classified into multiple models or identified as outliers, and includes a few parameters that an analyst (not typically an expert in statistical methods) may use to adjust the output of the algorithm. We give results from our framework with synthetic data and classic data.

关键词： data mining unsupervised machine learning statistical classification exploratory data analysis

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A Web-Enabled visualization Toolkit for Geovisual Analytics

A Web-Enabled Visualization Toolkit for Geovisual Analytics

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conference on visualization and data analysis 2011

作者： Ho, Quan Lundblad, Patrik Astrom, Tobias Jern, Mikael Linkoping Univ Dept Sci & Technol NCVA SE-58183 Linkoping Sweden

ISBN: (纸本)9780819484055

We introduce a framework and class library (GAV Flash) implemented in Adobe's ActionScript, designed with the intention to significantly shorten the time and effort needed to develop customized web-enabled applications for visual analytics or geovisual analytics tasks. Through an atomic layered component architecture, GAV Flash provides a collection of common geo- and information visualization representations extended with motion behavior including scatter matrix, extended parallel coordinates, table lens, choropleth map and treemap, integrated in a multiple, time-linked layout. Versatile interaction methods are drawn from many data visualization research areas and optimized for dynamic web visualization of spatio-temporal and multivariate data. Based on layered component thinking and the use of programming interface mechanism the GAV Flash architecture is open and facilitates the creation of new or improved versions of existing components so that ideas can be tried out or optimized rapidly in a fully functional environment. Following the Visual Analytics mantra, a mechanism "snapshot" for saving the explorative results of a reasoning process is developed that aids collaboration and publication of gained insight and knowledge embedded as dynamic visualizations in blogs or web pages with associative metadata or "storytelling".

关键词： web-enabled visualization toolkit geovisual analytics storytelling layered component architecture multiple-linked views

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Exploratory to presentation visualization, and everything in-between: providing flexibility in aesthetics, interactions and visual layering

Exploratory to presentation visualization, and everything in...

引用

15th International conference on Information Visualisation (IV)

作者： Baumann, Alexander Dufilie, Andrew S. Kolman, Sebastin Kota, Srinivas Grinstein, Georges Mass, William UMass Lowell Inst Visualizat & Percept Res Lowell MA 01854 USA UMass Lowell Econ & Social Dev Reg Lowell MA USA

ISBN: (纸本)9780769544762

It is often necessary to perform exploratory analysis on datasets in order to determine the patterns to show as presentation visualizations for a target audience. In many cases, exploratory packages do not offer enough flexibility to alter application look and feel in order to produce the required presentations of the data. Runtime modifications of aesthetic, interactive and visualization layering properties allow new interfaces to be defined that can best suit a target audience. Modifications to these properties allow advanced exploratory systems to be reduced down to limited presentation visualizations, and everything in between. This paper explores the design and applications of such runtime application flexibility within the web-based visualization environment Weave.

关键词： visualization TRIM STRIP dataset Esthetics presentation Presentation Runtime

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An interactive web-based visualization tool in action: User testing and usability aspects

An interactive web-based visualization tool in action: User ...

引用

11th IEEE International conference on Computer and Information Technology, CIT 2011 and 11th IEEE International conference on Scalable Computing and Communications, SCALCOM 2011

作者： Vogel, Bahtijar Kurti, Arianit Milrad, Marcelo Kerren, Andreas School of Computer Science Physics and Mathematics Linnaeus University Växj Sweden

ISBN: (纸本)9780769543888

In this paper, we present our efforts in relation to the evaluation of an interactive web-based visualization tool developed for supporting environmental sciences learning. The tool enables the visualization of different types of geo-tagged content and sensor data collected using mobile devices. It also utilizes APIs that provide multiple visual representations of the data set. These representations allow users to actively interact with graphs, maps, images, and data tables. In order to test the usability, novelty and interactivity of our web-based visualization tool, we have conducted a study involving university students in the field of teaching environmental sciences. The results and analysis of the user testing indicate that the tool's usability and performance were satisfactory. Outcomes from the user testing have resulted in a number of concrete suggestions for further enhancement and improvements of our visualization tool in relation to application functionality, navigation and interaction. © 2011 IEEE.

关键词： data visualization

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Tree preserving embedding

Tree preserving embedding

引用

28th International conference on Machine Learning, ICML 2011

作者： Shieh, Albert D. Hashimoto, Tatsunori B. Airoldi, Edoardo M. Department of Statistics FAS Center for Systems Biology Harvard University Cambridge MA 02138 United States

ISBN: (纸本)9781450306195

visualization techniques for complex data are a workhorse of modern scientific pursuits. The goal of visualization is to embed high-dimensional data in a low-dimensional space while preserving structure in the data relevant to exploratory data analysis such as clusters. However, existing visualization methods often either fail to separate clusters due to the crowding problem or can only separate clusters at a single resolution. Here, we develop a new approach to visualization, tree preserving embedding (TPE). Our approach uses the topological notion of connectedness to separate clusters at all resolutions. We provide a formal guarantee of cluster separation for our approach that holds for finite samples. Our approach requires no parameters and can handle general types of data, making it easy to use in practice. Copyright 2011 by the author(s)/owner(s).

关键词： visualization

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