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

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The impact of multiple coordinated views on the visual data exploration and analysis

The impact of multiple coordinated views on the visual data ...

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12th International conference Information Visualisation 2008

作者： da Silva Maciel, Michele de Paula Meiguins, Bianchi Serique de Moraes Lourenco, Rodrigo Augusto Goncalves Meiguins, Aruanda Simoes Alves Godinho, Paulo Igor Fed Univ Para Programa Pos Graduaco Ciencia Computacao BR-66059 Belem Para Brazil Centro Univ Para Area Ciencias Tecnol CESUPA Belem Para Brazil

ISBN: (纸本)9780769532684

The use of information visualization tools that support multiple coordinated views for data exploration and analysis has become more frequent. However, few usability studies have focused this group of tools. The goal of this paper is to perform usability experiments with tools supporting multiple coordinated views on the same screen, in separate screens and tools that support each technique individually. To ensure a fair evaluation, a complexity-based task taxonomy was developed The tools were therefore used to answer questions of the same level of complexity.

关键词： information visualization multiple coordinated views usability

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Unveiling intrinsic similarity -: Application to temporal analysis of ECG

Unveiling intrinsic similarity -: Application to temporal an...

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1st International conference on Bio-Inspired Systems and Signal Processing

作者： Lourenco, Andre Fred, Ana Inst Super Engn Lisboa Inst Telecomun Lisbon Portugal

ISBN: (纸本)9789898111180

The representation of data in some visual form is one of the first steps in a data-mining process in order to gain some insight about its structure. We propose to explore well known visualization and unsupervised learning techniques, namely clustering, to improve the understanding about the data and to enhance possible relations or intrinsic similarity between patterns. Specifically, Clustering Ensemble Methods are exploited separately and combined to provide a clearer visualization of data organization. The presented methodology is used to improve the understanding of ECG signal acquired during Human Computer Interaction (HCI).

关键词： visualization unsupervised learning Clustering evidence accumulation clustering co-association matrix ECG analysis behavior identification

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Visual olap: A new paradigm for exploring multidimensional aggregates

Visual olap: A new paradigm for exploring multidimensional a...

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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： Mansmann, Svetlana Scholl, Marc H. University of Konstanz Box D188 78457 Konstanz Germany

ISBN: (纸本)9789728924638

OLAP (On-Line Analytical Processing) technology provides interactive query-driven analysis of accumulated and consolidated business data for the purpose of decision-making and knowledge extraction. visualization is increasingly used as the means of gaining insight into huge data volumes of multidimensional data as the former exploits the profound ability of the human vision system to recognize patterns. This paper describes a new generation of analysis tools, characterized as Visual OLAP and based on the emerging visual exploration paradigm. In contrast to conventional tools that employ visualization primarily as user-friendly data presentation, visual OLAP turns visualization into the key method for both query specification and exploratory analysis. We propose a comprehensive visual exploration framework, which implements OLAP operations in form of powerful data navigation and allows users to explore data using a variety of interactive visualization techniques. A taxonomy of visual metaphors, from classical business charts to advanced 3D, multiscale, and hierarchical layouts accounts for different types of analytical tasks. A unified framework is obtained by abstracting various visualization options into a common presentation model and providing algorithms for mapping user interactions to database queries as well as mapping query results to a specified visual layout. © 2008 IADIS.

关键词： visualization

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Organic pie charts

Organic pie charts

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8th IEEE International conference on data Mining

作者： Moerchen, Fabian Siemens Corp Res Integrated Data Syst Princeton NJ 08540 USA

ISBN: (纸本)9780769535029

We present a new visualization of the distance and cluster structure of high dimensional data. It is particularly well suited for analysis tasks of users unfamiliar with complex data analysis techniques as it builds on the well known concept of pie charts. The non-linear projection capabilities of Emergent Self-Organizing Maps (ESOM) are used to generate a topology-preserving ordering of the data points on a circle. The distance structure within the high dimensional space is visualized on the circle analogously to the U-Matrix method for two-dimensional SOM. The resulting display resembles pie charts but has an organic structure that naturally emerges from the data. Pie segments correspond to groups of similar data points. Boundaries between segments represent low density regions with larger distances among neighboring points in the high dimensional space. The representation of distances in the form of a periodic sequence of values makes time series segmentation applicable to automated clustering of the data that is in sync with the visualization. We discuss the usefulness of the method on a variety of data sets to demonstrate the applicability in applications such as document analysis or customer segmentation.

关键词： visualization

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The Real Code Migration on Portable Devices for Personal Biotelemetric systems

The Real Code Migration on Portable Devices for Personal Bio...

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IEEE conference on Polymers and Adhesives in Microelectronics and Photonics/IEEE Interdisciplinary conference on Portable Information Devices

作者： Krejcar, Ondrej Janckulik, Dalibor Slanina, Zdenek Tech Univ Ostrava Ostrava Czech Republic

ISBN: (纸本)9781424421411

This project deals with the problems of utilization of mobile equipment working in the biomedicine field, particularly telemedicine. "This field is relatively new;it focuses on the observation of life functions from a distance. Practically developing system works with an ECG sensor connected to mobile equipment, such as PDA/Embedded device, based on Microsoft Windows CE class operating system. The whole system is based on the architecture of .NET Compact Framework, and other products, such as SQL Server by Microsoft too. This work also deals with the communication of mobile equipment with sensors and with the server via Bluetooth, WiFi, and GPRS/EDGE. The mobile equipments are used primarily for measuring and processing of data from the sensors and their visualization as a graph. The data is also given to the server for further processing and the analysis of current health of the patients, due to small efficiency of the mobile equipment. The main task we deal with in the server part of application is receiving of the data via web services and further processing, management and analysis of this data. For the analysis of received data and further evaluation of the electrocardiogram, there is a self-organizing neural network [1].

关键词： data visualization

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From microarrays to promoters: the visual story of Stat3

From microarrays to promoters: the visual story of Stat3

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5th International conference on BioMedical visualization

作者： Cvek, Urska Trutschl, Marjan Syed, Zanobia Clifford, John L. Louisiana State Univ Shreveport Dept Comp Sci Shreveport LA 71115 USA Louisiana State Univ Hlth Sci Dept Biochem & Mol Biol Ctr Sch Med Shreveport Baton Rouge LA USA

ISBN: (纸本)9780769532844

High-throughput technologies have established themselves as indispensable for the study of biological systems, from gene expression level changes, protein concentrations. to their modifications and interactions in complex diseases and systems. This kind of data analysis is not well served by the biostatistical techniques traditionally applied to biomedical and clinical data sets. Non-trivial patterns are most often discovered using visual and other computational tools applied to this data. We derive patterns and information from a series of differentially expressed genes on eight microarrays combined with analysis of promoter regions using regular expression-driven examination of short representative sequences called motifs. These non-trivial patterns are used to aid the discovery process through the use of information visualization and by harnessing user's perceptual and cognitive capabilities.

关键词： promoter binding sites visualization microarray analysis

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Interactive quantification of categorical variables in mixed data sets

Interactive quantification of categorical variables in mixed...

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12th International conference Information Visualisation 2008

作者： Johansson, Sara Jern, Mikael Johansson, Jimmy Linkoping Univ Dept Sci & Technol ITN S-58183 Linkoping Sweden

ISBN: (纸本)9780769532684

data sets containing a combination of categorical and continuous variables (mixed data sets) are difficult to analyse since no generalized similarity measure exists for categorical variables. Quantification of categorical variables makes it possible to represent this type of data using techniques designed for numerical data. This paper presents a quantification process of categorical variables in mixed data sets that incorporates information on relationships among the continuous variables into the process, as well as utilizing the domain knowledge of a user An interactive visualization environment using parallel coordinates as a visual interface is provided, where the user is able to control the quantification process and analyse the result. The efficiency of the approach is demonstrated using two mixed data sets.

关键词： categorical data mixed data parallel coordinates quantification correspondence analysis clustering

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Evacuation Traces Mini Challenge Award: Innovative Trace visualization Staining for Information Discovery

Evacuation Traces Mini Challenge Award: Innovative Trace Vis...

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IEEE Symposium on Visual Analytics Science and Technology

作者： Bouvier, Dennis J. Oates, Britain So Illinois Univ Edwardsville Edwardsville IL USA

ISBN: (纸本)9781424429356

Staining is a technique for categorizing time-varying spatial data, that is, data of things moving through space over time. In Staining, a stain is applied in either time or space, and the objects which move through the stain become marked. This technique and a research prototype demonstrating the technique were developed in response to the VAST 2008 Contest Mini-challenge: Evacuation Traces.

关键词： Movement data visual analytics exploratory data analysis visualization interactive displays

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analysis, PROCESSING AND visualization OF MULTIDIMENSIONAL data USING DAQPROVIS SYSTEM

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6th International conference on Dynamical Aspects of Nuclear Fission

作者： Morhac, M. Matousek, V. Turzo, I. Kliman, J. Slovak Acad Sci Inst Phys Bratislava 84511 Slovakia

ISBN: (纸本)9789812837523

The multidimensional data acquisition, processing and visualization system for analysis of experimental data in nuclear physics is briefly described in the paper. The system includes a large number of sophisticated algorithms of the multidimensional nuclear spectra processing, including background elimination, deconvolution, peak searching and fitting.

关键词： data acquisition system nuclear spectra analysis storing and compression of histograms background estimation deconvolution peak identification fitting visualization

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Integration of information and volume visualization for analysis of cell lineage and gene expression during embryogenesis

Integration of information and volume visualization for anal...

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conference on visualization and data analysis 2008

作者： Cedilnik, Andrej Baumes, Jeffrey Ibanez, Luis Megason, Sean Wylie, Brian TiVo Inc Alviso CA USA Kitware Inc Clifton Pk NY USA CALTECH Pasadena CA USA Sandia Natl Labs Albuquerque NM USA

ISBN: (纸本)9780819469816

Dramatic technological advances in the field of genomics have made it possible to sequence the complete genomes of many different organisms. With this overwhelming amount of data at hand, biologists are now confronted with the challenge of understanding the function of the many different elements of the genome. One of the best places to start gaining insight on the mechanisms by which the genome controls an organism is the study of embryogenesis. There are multiple and inter-related layers of information that must be established in order to understand how the genome controls the formation of an organism. One is cell lineage which describes how patterns of cell division give rise to different parts of an organism. Another is gene expression which describes when and where different genes are turned on. Both of these data types can now be acquired using fluorescent laser-scanning (confocal or 2-photon) microscopy of embryos tagged with fluorescent proteins to generate 3D movies of developing embryos. However, analyzing the wealth of resulting images requires tools capable of interactively visualizing several different types of information as well as being scalable to terabytes of data. This paper describes how the combination of existing large data volume visualization and the new Titan information visualization framework of the visualization Toolkit (VTK) can be applied to the problem of studying the cell lineage of an organism. In particular, by linking the visualization of spatial and temporal gene expression data with novel ways of visualizing cell lineage data, users can study how the genome regulates different aspects of embryonic development.

关键词： information visualization volume visualization large data visualization cell lineage

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