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检索条件"任意字段=Conference on Visualization and Data Analysis 2005"

共 611 条记录，以下是61-70 订阅

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Coordinated parallel views for the exploratory analysis of microarray time-course data

Coordinated parallel views for the exploratory analysis of m...

引用

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

作者： Craig, Paul Kennedy, Jessie Gumming, Andrew School of Computing Napier University Edinburgh EH10 5DT United Kingdom

ISBN: (纸本)076952396X

Microarray time-course data relate to the recorded activity of thousands of genes, in parallel, over multiple discrete points in time during a biological process. Existing techniques that attempt to support the exploratory analysis of this data rely on static clustering views, interactive clustering views or coordinated clustering and graph views and are limited in that they fail to account for less dominant patterns in the data such as those that involve a subset of genes or a limited interval of the time-course. In this paper, we describe an alternative approach which avoids this limitation by using combined parallel views to present different complementary aspects of the data (i.e. timing, activity and change-in-activity). An example of how the views are combined to reveal significant patterns in the data (including those which cannot be found using clustering based techniques) is described and used to illustrate the benefits of combined parallel views to support exploratory analysis of this type of data. © 2005 IEEE.

关键词： data reduction

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data visualization methodologies for data mining systems in bioinformatics

Data visualization methodologies for data mining systems in ...

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IEEE International Joint conference on Neural Networks (IJCNN 2005)

作者： Staiano, A Ciaramella, A Raiconi, G Tagliaferri, R Amato, R Longo, G Miele, G Donalek, C Univ Salerno Dept Math & Informat Fisciano Italy

ISBN: (纸本)0780390482

Bioinformatics systems benefit from the use of data mining strategies to locate interesting and pertinent relationships within massive information. For example, data mining methods can ascertain and summarize the set of genes responding to a certain level of stress in an organism. Even a cursory glance through the literature in journals, reveals the persistent role or data mining in experimental biology. Integrating data mining within the context of experimental investigations is central to bioinformatics software. In this paper we describe the framework of Probabilistic Principal Surfaces, a latent variable model which offers a large variety of appealing visualization capabilities and which can be successfully integrated in the context of microarray analysis. A preprocessing phase consisting or a nonlinear PCA neural network which seems to be very useful to deal with noisy and time dependent nature of microarray data has been added to this framework.

关键词： data mining

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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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A concurrent visualization system for high-performance computational simulations

A concurrent visualization system for high-performance compu...

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VIS 05: IEEE visualization 2005, Proceedings

作者： Groner, Joe Lee, Matthew Martin, Joel Moorhead, Robert Newman, James Mississippi State University

ISBN: (纸本)0780394623

Scientific visualization serves as a useful technique for rapid analysis of large data sets. The application of visualization techniques to physical simulations executed on high-performance computing hardware offers the opportunity for analysis and design decisions to be performed during simulation execution. This approach, referred to as concurrent visualization, provides some advantages in the present super-computing environment of shared resources and high-speed networking. We present an implementation of a concurrent visualization system that ties a visualization front-end and user-interface to existing computational fluid dynamics (CFD) simulation code through a light-weight and flexible network transport layer. © 2005 IEEE.

关键词： Concurrent engineering

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"The data rich virtual sandbox" - Bridging the gap between intelligence gathering and intelligence analysis new visualization paradigms

"The data rich virtual sandbox" - Bridging the gap between i...

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conference on Sensors, and Command, Control, Communications, and Intelligence (C31) Technologies for Homeland Security and Homeland Defense IV

作者： Colleen, D Planet 9 Studios (United States)

Our goal is to bring a data rich environment to the intelligence analyst's desktop setwithin a detailed 3D view of the real-worldcontext. This paper outlines our effortsleading up to this goal, our current work an... 详细信息

ISBN: (纸本)0819457639

Our goal is to bring a data rich environment to the intelligence analyst's desktop set within a detailed 3D view of the real-world context. This paper outlines our efforts leading up to this goal, our current work and our path forward.

关键词： Visual analytics visualization Homeland security 3D vision C3I Defense technologies Security technologies Sensor technology Sensors

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Visual characterization of paper using Isomap and local binary patterns

Visual characterization of paper using Isomap and local bina...

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9th IAPR conference on Machine Vision Applications (MVA2005)

作者： Turtinen, Markus Pietikainen, Matti Silven, Olli Univ Oulu Dept Elect & Informat Engn Machine Vis Grp Oulu Finland

ISBN: (纸本)4901122045

In this paper, we study how a multidimensional local binary pattern (LBP) texture feature data can be visually explored and analyzed. The goal is to determine how true paper properties can be characterized with local texture features from visible light images. We utilize isometric feature mapping (Isomap) for the LBP texture feature data and perform non-linear dimensionality reduction for the data. These 2D projections are then visualized with original images to study data properties. visualization is utilized in the manner of selecting texture models for unlabeled data and analyzing feature performance when building a training set for a classifier. The approach is experimented on with simulated image data illustrating different paper properties and on-line transilluminated paper images taken from a running paper web in the paper mill. The simulated image set is used to acquire quantitative figures on the performance while the analysis of real-world data is an example of semi-supervised learning.

关键词： texture analysis visualization paper inspection

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An insight-based methodology for evaluating bioinformatics visualizations

An insight-based methodology for evaluating bioinformatics v...

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IEEE visualization 2004 conference

作者： Saraiya, P North, C Duca, K Virginia Tech Dept Comp Sci Blacksburg VA 24061 USA Virginia Tech Virginia Bioinformat Inst Blacksburg VA 24061 USA

High-throughput experiments, such as gene expression microarrays in the life sciences, result in very large data sets. In response, a wide variety of visualization tools have been created to facilitate data analysis. A primary purpose of these tools is to provide biologically relevant insight into the data. Typically, visualizations are evaluated in controlled studies that measure user performance on predetermined tasks or using heuristics and expert reviews. To evaluate and rank bioinformatics visualizations based on real-world data analysis scenarios, we developed a more relevant evaluation method that focuses on data insight. This paper presents several characteristics of insight that enabled us to recognize and quantify it in open-ended user tests. Using these characteristics, we evaluated five microarray visualization tools on the amount and types of insight they provide and the time it takes to acquire it. The results of the study guide biologists in selecting a visualization tool based on the type of their microarray data, visualization designers on the key role of user interaction techniques, and evaluators on a new approach for evaluating the effectiveness of visualizations for providing insight. Though we used the method to analyze bioinformatics visualizations, it can be applied to other domains.

关键词： evaluation/methodology graphical user interfaces (GUI) information visualization visualization systems and software visualization techniques and methodologies

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Integrating haptics into an immersive environment for the segmentation and visualization of volumetric data 1

Integrating haptics into an immersive environment for the se...

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1st Joint Eurohaptics conference/Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems

作者： Senger, S Univ Wisconsin Dept Comp Sci La Crosse WI 54601 USA

ISBN: (纸本)0769523102

We present a haptically enabled immersive environment for the segmentation and visualization of volumetric data. The environment uses a client/server design and allows multiple, remotely separated users to work in a shared visual space. The environment incorporates several distinct segmentation methods that are based on the local application of computationally expensive algorithms and provides the user with continuous fine-grained control. The environment uses haptic feedback to both provide a sense of touch for segmented structures and to provide additional user control over the segmentation algorithms.

关键词： Haptic interfaces data visualization Feedback Web server Probes Algorithm design and analysis Workstations Image segmentation Clustering algorithms Internet

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Visual data analysis using tracked statistical measures within parallel coordinate representations

Visual data analysis using tracked statistical measures with...

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

作者： Ericson, D Johansson, J Cooper, M Linkoping Univ NVIS S-58183 Linkoping Sweden

ISBN: (纸本)076952396X

With our increasing ability to capture or produce and to store large multivariate data, these data sets are increasing both in size and complexity. Many conventional techniques for visualizing multivariate data suffer from problems like cluttered displays since they are not designed to handle these amounts of entries. We present a novel method to overcome this problem by interactively selecting and displaying statistics derived from the data in a separate view. Changes in the display are visually tracked by animation and vector plotting for easy comparison of various measures applied to different subsets of the data.

关键词： data reduction

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Effects of cognitive styles and data-characteristics on visual data mining

Effects of cognitive styles and data-characteristics on visu...

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conference on visualization and data analysis 2005

作者： Bak, P Meyer, J Ben Gurion Univ Negev IL-84105 Beer Sheva Israel

ISBN: (纸本)081945642X

The study reports an experiment intended to identify parameters that affect the detection of cause and effect relations in graphically displayed data in a visual data mining environment. Accuracy of performance was measured as a function of visual properties of the cause function and information processing styles. People with different styles employ different task-solving-strategies, expressed by tool usage, and by effects of different visual properties of the displayed data. Participants with high analytic cognitive styles were better able to detect cause and effect relations through investigations of visual and more global properties of the displayed data. Visual properties of the data affected users with high analytic and low experiential cognitive styles similarly and had no direct effect on accuracy. The study points to the need for further research to gain a deeper understanding of the effect of user characteristics, display properties and data structure in a visual data mining environment that is based on intensive interaction of the user with complex graphical displays.

关键词： visual data mining graphic displays cognitive styles

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