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Information Visualisation, 2009 13th International Conference

Date 15-17 July 2009

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Displaying Results 1 - 25 of 113
  • [Front cover]

    Publication Year: 2009 , Page(s): C1
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  • [Title page i]

    Publication Year: 2009 , Page(s): i
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  • [Title page iii]

    Publication Year: 2009 , Page(s): iii
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  • [Copyright notice]

    Publication Year: 2009 , Page(s): iv
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  • Table of contents

    Publication Year: 2009 , Page(s): v - xi
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  • Preface

    Publication Year: 2009 , Page(s): xii
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  • Acknowledgments

    Publication Year: 2009
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  • Organizing and Liaison Program Committee

    Publication Year: 2009 , Page(s): xiv - xvi
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  • International Committee

    Publication Year: 2009 , Page(s): xvii
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  • list-reviewer

    Publication Year: 2009 , Page(s): xviii
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  • Visual Perception of Parallel Coordinate Visualizations

    Publication Year: 2009 , Page(s): 3 - 9
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2655 KB) |  | HTML iconHTML  

    Parallel coordinates is a visualization technique that provides an unbiased representation of high-dimensional data. The parallel configuration of axes treats data dimensions uniformly and is well suited for exploratory visualization. However, first-time users of parallel coordinate visualizations can find the representation confusing and difficult to understand.We used eye tracking to study how p... View full abstract»

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  • VioNeS - Visual Support for the Analysis of the Next Sub-volume Method

    Publication Year: 2009 , Page(s): 10 - 17
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (803 KB) |  | HTML iconHTML  

    Computational simulation is an established method to gain insight into cellular processes. As the resulting data sets are usually large and complex, visualization can play a significant role in data analysis. In this paper, we focus on the visualization of simulation output from the next sub-volume method, a spatial simulation algorithm. In addition to the spatial context of the simulation output,... View full abstract»

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  • A Framework to Analyze Information Visualization Based on the Functional Data Model

    Publication Year: 2009 , Page(s): 18 - 24
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1032 KB) |  | HTML iconHTML  

    We propose a framework for analyzing information visualization (infovis) based on the concept of functional dependency (FD). Although functional dependencies express important semantic information of data, they are rarely taken into account by general purpose infovis tools-- a fact that may cause problems in the visualization process. The main idea of our approach is to use the concept of FD for m... View full abstract»

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  • Many-to-Many Relational Parallel Coordinates Displays

    Publication Year: 2009 , Page(s): 25 - 31
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3128 KB) |  | HTML iconHTML  

    An interesting property of the commonly used parallel coordinates display is the distinct overall pattern formed by the totality of lines between adjacent axes. These patterns have a direct correspondence to the type of relationship existing between the variables mapped onto the axes in question as well as a salient visual appearance. Parallel coordinates displays can therefore be used to visually... View full abstract»

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  • HexBoard: Conveying Pairwise Similarity in an Incremental Visualization Space

    Publication Year: 2009 , Page(s): 32 - 37
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (560 KB) |  | HTML iconHTML  

    We introduce the HexBoard space and visualization tool, that provides an incremental visualization space that conveys pairwise similarity among all neighboring elements from a dynamic data set. It is a significant evolution on our previous work, incBoard, a chess board analogy for displaying (projecting) objects from a dynamic set on a 2D space, considering their similarity in a higher dimensional... View full abstract»

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  • An Occlusion-Reduced 3D Hierarchical Data Visualization Technique

    Publication Year: 2009 , Page(s): 38 - 43
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1371 KB) |  | HTML iconHTML  

    Occlusion is an important problem to be solved for readability improvement of 3D visualization techniques. This paper presents an occlusion reduction technique for cityscape-style 3D visualization techniques. The paper first presents an algorithm for occlusion reduction. It generates bounding boxes of 3D objects on the 2D display space, moves them to reduce their overlap, and finally reversely pro... View full abstract»

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  • Hierarchical Temporal Patterns and Interactive Aggregated Views for Pixel-Based Visualizations

    Publication Year: 2009 , Page(s): 44 - 50
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (386 KB) |  | HTML iconHTML  

    Many real-world problems involve time-oriented data. Time data is different from other kinds of data--explicitly harnessing the structures of time in visualizations can guide and support userspsila visual analysis processes. State-of-the-art visualizations hardly take advantage of the structures of time to aid users in understanding and exploring the data. To bring more flexibility to the analysis... View full abstract»

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  • BIIGLE Tools – A Web 2.0 Approach for Visual Bioimage Database Mining

    Publication Year: 2009 , Page(s): 51 - 56
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (840 KB) |  | HTML iconHTML  

    In this paper we want to discuss the usage of Web 2.0 techniques to realize information visualization based exploration and annotation of huge volume, semi-structured data, and in particular high throughput bioimage series. To this end, we developed a toolbox for a graphical representation of different displays in a browser context which can be used for image database exploration in a link & b... View full abstract»

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  • Spatial Visualisation of Conceptual Data

    Publication Year: 2009 , Page(s): 57 - 61
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (853 KB) |  | HTML iconHTML  

    Numerous data mining methods have been designed to help extract relevant and significant information from large datasets. Computing concept lattices allows clustering data according to their common features and making all relationships between them explicit. However, the size of such lattices increases exponentially with the volume of data and its number of dimensions. This paper proposes to use s... View full abstract»

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  • Visual Graph Comparison

    Publication Year: 2009 , Page(s): 62 - 67
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1224 KB) |  | HTML iconHTML  

    Researchers and analysts in many fields are sometimes confronted with the task of comparing and contrasting two similar but different graphs or networks. This paper presents a technique and prototype tool to support the visual comparison of graphs and the interactive reconciliation of candidate graphs into a single reference graph. Given two input graphs and a set of similarities between nodes, th... View full abstract»

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  • Algebraic Guide Generation

    Publication Year: 2009 , Page(s): 68 - 73
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (299 KB) |  | HTML iconHTML  

    Suitable reference marks are an important part of creating an understandable visualization. The reference marks create the frame in which the data is understood, thereby preserving the context of the data and allowing the transition from data to information to be made. However, reference marks (including legends, axial and point labels) are given insufficient attention in many visualization framew... View full abstract»

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  • Probabilistic NeuroScale for Uncertainty Visualisation

    Publication Year: 2009 , Page(s): 74 - 79
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (231 KB) |  | HTML iconHTML  

    This paper is a study of low dimensional visualisation methods for data visualisation under uncertainty of the input data. It focuses on NeuroScale, the feed-forward neural networks algorithm by trying to make the algorithm able to accommodate the uncertainty. The standard model is shown not to work well under high levels of noise within the data and need to be modified. The modifications of the m... View full abstract»

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  • A Visualization and Level-of-Detail Control Technique for Large Scale Time Series Data

    Publication Year: 2009 , Page(s): 80 - 85
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2609 KB) |  | HTML iconHTML  

    We have various interesting time series data in our daily life, such as weather data (e.g., temperature and air pressure)and stock prices. Polyline chart is one of the most common ways to represent such time series data. We often draw multiple polylines in one space to compare the time variation of multiple values. However, it is often difficult to read the values if the number of polylines gets l... View full abstract»

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  • Visualising the Query Space of the Image Collection

    Publication Year: 2009 , Page(s): 86 - 91
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2733 KB) |  | HTML iconHTML  

    In this paper, we propose an information visualisation solution for multimedia retrieval based on semantic concepts defined in an image database. The proposed visualisation approach utilises concept map, Venn diagram and Fisheye distortion to enable effective and efficient visualisation of image database. In addition, the proposed approach enables displaying the local and global views of the colle... View full abstract»

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  • A Linking Mechanism to Integrate Components of a Visualization Framework

    Publication Year: 2009 , Page(s): 92 - 97
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (517 KB) |  | HTML iconHTML  

    Visual analysis and exploration of data has been extensively studied in various fields. As the amount of data increases, we need scalable and efficient visualization tools integrated with cross-discipline elements to explore and overcome the issues exposed by the large data sets. In this paper, we present our dynamic linking mechanism to create a visualization framework (mVis, multi-visualizer for... View full abstract»

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