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9th International conference on Information visualisation

作者： Andrienko, G Andrienko, N Schloss Birlinghoven Fraunhofer Inst Autonomous Intelligent Syst D-53754 St Augustin Germany

ISBN: (纸本)0769523978

The paper elaborates on the previous research on the analysis of temporal and spatio-temporal data done in statistical graphics and geo-visualization. We focus on the exploration of spatially distributed time-series data, i.e. values of numeric attributes referring to different moments in time and locations in space. After considering appropriate interactive visualization techniques, we propose several methods of exploration based on user-controlled data transformation and aggregation, easy-to-understand calculations, and dynamic linking of data displays. The proposed methods are potentially scalable, i.e. they can be applied to large data sets without overcrowding the displays and loosing interactivity.

关键词： visual data mining spatial time-series analysis data visualization dynamic and coordinated data displays

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visual browsing of remote and distributed data

Visual browsing of remote and distributed data

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conference on visualization and data analysis 2005

作者： Krishnaswamy, P Eick, SG Grossman, RL Univ Illinois Natl Ctr Data Min Chicago IL 60680 USA

ISBN: (纸本)081945642X

data repositories around the world hold many thousands of datasets. A problem for remote dataset users is to browse the repositories and efficiently locate relevant datasts. In this note, we introduce the Iconic Remote visual data exploration tool (IRVDX), which provides visual browsing for exploring the features of remote and distributed data without the necessity of downloading the entire dataset. IRVDX employs three kinds of visualizations: one provides a reduced representation of the datasets, which we call dataset Icons. These icons show the important statistical characteristics of datasets and help to identify relevant datasets from distributed repositories. Another one is called the Remote dataset visual Browser that provides visualizations to browse remote data without downloading the complete dataset to identify its content. The final one provides visualizations to show the degree of similarity between two datasets and to visually determine whether a join of two remote datasets will be meaningful. In this paper, we describe the design and implementation of IRVDX in detail. We assess the benefits of our dataset Icons against the traditional text-based interfaces and show the usefulness of IRVDX by conducting experiments with datasets from the UCI KDD Archive.

关键词： visual data mining information visualization visual data exploration distributed data remote data

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Vibration-based terrain classification for planetary exploration rovers

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IEEE TRANSACTIONS ON ROBOTICS 2005年第6期21卷 1185-1191页

作者： Brooks, CA Iagnemma, K MIT Dept Mech Engn Cambridge MA 02139 USA

Safe, autonomous mobility in rough terrain is an important requirement for planetary exploration rovers. Knowledge of local terrain properties is critical to ensure a rover's safety on slopes and uneven surfaces. visual features are often used to classify terrain;however, vision can be sensitive to lighting variations and other effects. This paper presents a method to classify terrain based on vibrations induced in the rover structure by wheel-terrain interaction during driving. This sensing mode is robust to lighting variations. Vibrations are measured using an accelerometer mounted on the rover structure. The classifier is trained using labeled vibration data during an offline learning phase. Linear discriminant analysis is used for online identification of terrain classes, such as sand, gravel, or clay. This approach has been experimentally validated on a laboratory testbed and on a four-wheeled rover in outdoor conditions.

关键词： mobile robots pattern classification robot sensing systems rough terrain

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Interactive visual analysis and exploration of injection systems simulations

Interactive visual analysis and exploration of injection sys...

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IEEE visualization 2005 conference

作者： Matkovic, K Jelovic, M Juric, J Konyha, Z Gracanin, D VRVis Res Ctr Vienna Austria

ISBN: (纸本)0780394623

Simulations often generate large amounts of data that require use of SciVis techniques for effective exploration of simulation results. In some cases, like ID theory of fluid dynamics, conventional SciVis techniques are not very useful. One such example is a simulation of injection systems that is becoming more and more important due to an increasingly restrictive emission regulations. There are many parameters and correlations among them that influence the simulation results. We describe how basic information visualization techniques can help in visualizing, understanding and analyzing this kind of data. The ComVis tool is developed and used to analyze and explore the data. ComVis supports multiple linked views and common information visualization displays such as 2D and 3D scatter-plot, histogram, parallel coordinates, pie-chart, etc. A Diesel Common Rail Injector with 2/2 Way Valve is used for a case study. data sets were generated using a commercially available AVL HYDSIM simulation tool for dynamic analysis of hydraulic and hydro-mechanical systems, with the main application area in the simulation of fuel injection systems.

关键词： information visualization visual exploration simulation injection system

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Interactive visualization for OLAP

Interactive visualization for OLAP

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International conference on Computational Science and Its Applications (ICCSA 2005)

作者： Techapichetvanich, K Datta, A Univ Western Australia Sch Comp Sci & Software Engn Nedlands WA 6009 Australia

ISBN: (纸本)3540258620

Business data collection is growing exponentially in recent years. A variety of industries and businesses have adopted new technologies of data storages such as data warehouses. On Line Analytical Processing (OLAP) has become an important tool for executives, managers, and analysts to explore, analyze, and extract interesting patterns from enormous amount of data stored in data warehouses and multidimensional databases. However, it is difficult for human analysts to interpret and extract meaningful information from large amount of data if the data is presented in textual form as relational tables. visualization and interactive tools employ graphical display formats that help analysts to understand and extract useful information fast from huge data sets. This paper presents a new visual interactive exploration technique for an analysis of multidimensional databases. Users can gain both overviews and refine views on any particular region of interest of data cubes through the combination of interactive tools and navigational functions such as drilling down, rolling up, and slicing. Our technique allows users who are not experts in OLAP technology to explore and analyze OLAP data cubes and data warehouses without generating sophisticated queries. Furthermore, the visualization in our technique displays the exploration path enhancing the user's understanding of the exploration.

关键词： visualization visual exploration OLAP data cube data warehouse

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Differential protein expression analysis via liquid-chromatography/mass-spectrometry data visualization

Differential protein expression analysis via liquid-chromato...

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IEEE visualization 2005 conference

作者： Linsen, L Löcherbach, J Berth, M Bernhardt, J Becher, D Ernst Moritz Arndt Univ Greifswald Dept Math & Comp Sci D-17487 Greifswald Germany

ISBN: (纸本)0780394623

Differential protein expression analysis is one of the main challenges in proteomics. It denotes the search for proteins, whose encoding genes are differentially expressed under a given experimental setup. An important task in this context is to identify the differentially expressed proteins or, more generally, all proteins present in the sample. One of the most promising and recently widely used approaches for protein identification is to cleave proteins into peptides, separate the peptides using liquid chromatography, and determine the masses of the separated peptides using mass spectrometry. The resulting data needs to be analyzed and matched against protein sequence databases. The analysis step is typically done by searching for intensity peaks in a large number of 2D graphs. We present an interactive visualization tool for the exploration of liquid-chromatography/mass-spectrometry data in a 3D space, which allows for the understanding of the data in its entirety and a detailed analysis of regions of interest. We compute differential expression over the liquid-chromatography/mass-spectrometry domain and embed it visually in our system. Our exploration tool can treat single liquid-chromatography/mass-spectrometry data sets as well as data acquired using multi-dimensional protein identification technology. For efficiency purposes we perform a peak-preserving data resampling and multiresolution hierarchy generation prior to visualization.

关键词： interactive visual exploration hierarchical data representation visualization in bioinformatics proteomics

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Interactive visual analysis of multi-parameter families of function graphs

Interactive visual analysis of multi-parameter families of f...

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3rd International conference on Coordinated and Multiple Views in Exploratory visualization

作者： Matkovic, K Juric, J Konyha, Z Krasser, J Hauser, H VRVis Research Center Austria AVL List GmbH Advanced Simulation Technologies Austria

ISBN: (纸本)076952396X

The paper describes a method developed for interactive data visualization and exploration with applications in the automotive industry. The input data set contains a large number of function graphs. Each of the graphs is characterized by a set of basic attributes. The technique that is used for visualization includes two linked views: a map view (or attribute space view), where all function graphs are represented as a point or an icon on the map, and a linked function graph view. The map view provides additional visualization possibilities and allows user interaction. Additional features like brushing in both views, graph management, and related issues like interpolation of the graphs are described.

关键词： Brushing Interactive exploration Interactive visualization Interpolation Kennfeld diagram Linked views Time series data

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Challenging conventions for geovisualization interface design: Implications for exploratory data analysis

Challenging conventions for geovisualization interface desig...

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9th International conference on Information visualisation

作者： Edsall, RM Arizona State Univ Dept Geog Tempe AZ 85287 USA

ISBN: (纸本)0769523978

The use of interface metaphors and cartographic guidelines for facilitating communication between cartographer and user may serve to limit the power of the system or the representation for a diverse set of users or a diverse set of uses. For example, the data exploration tasks typical of geovisualization systems may be hindered by strict adherence to conventional and/or traditional interface metaphors or cartographic symbolization. Successful design of geovisualization systems, therefore, should take into account factors that are socially and culturally determined and adjust design according v dependent on the targeted users or, more importantly, the targeted task (i.e. exploratory data analysis). This paper explores this possibility and presents the results of a pair of human-subjects experiments where some subgroups among the participants were shown non-traditional representations. Results indicate that, for data exploration tasks, designers and users should embrace unconventional designs in order to encourage creative problem solving and hypothesis generation.

关键词： User interfaces

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exploration of dimensionality reduction for text visualization

Exploration of dimensionality reduction for text visualizati...

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3rd International conference on Coordinated and Multiple Views in Exploratory visualization, CMV 2005

作者： Huang, Shiping Ward, Matthew O. Rundensteiner, Elke A. Computer Science Department Worcester Polytechnic Institute Worcester MA 01609

ISBN: (纸本)076952396X

In the text document visualization community, statistical analysis tools (e.g., principal component analysis and multidimensional scaling) and neurocomputation models (e.g., self-organizing feature maps) have been widely used for dimensionality reduction. Often the resulting dimensionality is set to two, as this facilitates plotting the results. The validity and effectiveness of these approaches largely depend on the specific data sets used and semantics of the targeted applications. To date, there has been little evaluation to assess and compare dimensionality reduction methods and dimensionality reduction processes, either numerically or empirically. The focus of this paper is to propose a mechanism for comparing and evaluating the effectiveness of dimensionality reduction techniques in the visual exploration of text document archives. We use multivariate visualization techniques and interactive visual exploration to study three problems: (a) Which dimensionality reduction technique best preserves the interrelationships within a set of text documents;(b) What is the sensitivity of the results to the number of output dimensions;(c) Can we automatically remove redundant or unimportant words from the vector extracted from the documents while still preserving the majority of information, and thus make dimensionality reduction more efficient. To study each problem, we generate supplemental dimensions based on several dimensionality reduction algorithms and parameters controlling these algorithms. We then visually analyze and explore the characteristics of the reduced dimensional spaces as implemented within a linked, multi-view multi-dimensional visual exploration tool, XmdvTool. We compare the derived dimensions to features known to be present in the original data. Quantitative measures are also used in identifying the quality of results using different numbers of output dimensions. © 2005 IEEE.

关键词： Program documentation

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Proceedings: Third International conference on Coordinated & Multiple Views in Exploratory visualization - CMV 2005

Proceedings: Third International Conference on Coordinated &...

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3rd International conference on Coordinated and Multiple Views in Exploratory visualization, CMV 2005

ISBN: (纸本)076952396X

The proceedings contain 13 papers. The topics discussed include: coordinated parallel views for the exploratory analysis of microarray time-course data;MUSA-a prototype for multiple-step aggregation visualization;spring view: cooperation of Radviz and parallel coordinates for view optimization and clutter reduction;multiple views to support engineering change management for complex products;visual data analysis using tracked statistical measures within parallel coordinate representations;interactive visual analysis of multi-parameter families of function graphs;exploration of dimensionality reduction for text visualization;a collaborative multi-view virtual environment for molecular visualization and modeling;prism: a multi-view visualization tool for multi-physics simulation;interactive exploration of unsteady 3-D flow with linked 2-D/3-D texture advection;and space-scale animation: enhancing cross-scale understanding of multiscale structures in multiple views.

关键词： Technical presentations

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