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检索条件"任意字段=Conference on Visualization and Data Analysis 2007"

共 701 条记录，以下是371-380 订阅

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PRISMA - A Multidimensional Information visualization Tool Using Multiple Coordinated Views

PRISMA - A Multidimensional Information Visualization Tool U...

引用

International conference on Information Visualisation (IV)

作者： Paulo Igor A. Godinho Bianchi Serique Meiguins Aruanda Simoes Goncalves Meiguins Ricardo M. Casseb do Carmo Marcelo de Brito Garcia Leandro Hernandez Almeida Rodrigo Lourenco Universidade Federal do Pará Belem Para Brazil Área de Ciências e Tecnologia Centro Universitário do Pará Belem Para Brazil Bacharelado em Sistemas de Informação Universidade Federal do Pará Belem Para Brazil

Information visualization techniques have been successfully used to build visual and interactive analysis of data and data relationships. However, dimensionality, volume and diversity make it difficult for a single technique to completely solve the problem. Information visualization tools that support multiple coordinated views allow the user to better understand the dataset by providing different perspectives based on the same set of data items. These tools support the correlation between data views and the coordinated real-time interaction mechanisms. The goal of this paper is to present the PRISMA information visualization tool that explores the use of multiple coordinated views. PRISMA provides usability, portability and extensibility. Initial usability essays are discussed.

关键词： Multidimensional systems data visualization data analysis Filters Usability Scattering Graphics Information analysis Tree graphs Java

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GPX: A tool for the exploration and visualization of genome evolution

GPX: A tool for the exploration and visualization of genome ...

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7th IEEE International conference on Bioinformatics and Bioengineering, BIBE

作者： Nahar, Neha Hamel, Lutz Popstova, Maria S. Gogarten, J. Peter Department of Computer Science and Statistics University of Rhode Island Kingston RI United States Department of Molecular and Cell Biology University of Connecticut Storrs CT United States

ISBN: (纸本)1424415098

Ever since Darwin the Tree of Life has provided a framework to study the evolution of organisms. However, comparative genome analyses of microorganisms have shown that genomes are mosaics where different parts have different histories. This is due to horizontal gene transfer that transforms the Tree of Life into a Web of Life where different parts of a genome possess different evolutionary histories. Clustering gene families based on the phylogenetic information they retain allows extracting a majority consensus for the genomes' evolution, and the determination of genes that have a conflicting phylogeny. The latter is of interest in the context of comparative genomics of prokaryotes because these conflicts point towards possible horizontal transfers of genes and metabolic pathways between divergent organisms. We have created a web-based tool Gene Phylogeny eXplorer, GPX (http://***/gpx/) that facilitates comparative genome analysis of different species. GPX displays results as an interactive map that allows users to explore and interpret genomic data representing gene evolution. It allows the visualization of consensus and conflicting evolutionary histories of genes which in turn supports the visual identification of possible horizontal gene transfer events. The novel aspect of our approach is that we do not try to analyze DNA sequences directly but instead use self-organizing maps to find structure (clusters) in a space spanned by all possible evolutionary relationships between the genomes in questions. ©2007 IEEE.

关键词： Phylogenetic

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Viewing the Larger Context of Genomic data through Horizontal Integration

Viewing the Larger Context of Genomic Data through Horizonta...

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International conference on Information Visualisation (IV)

作者： Matthew Hibbs Grant Wallace Maitreya Dunham Kai Li Olga Troyanskaya Department of Computer Science Princeton University Princeton NJ USA Lewis-Sigler Institute for Integrative Genomics Princeton University Princeton NJ USA Princeton University Princeton

Genomics is an important emerging scientific field that relies on meaningful data visualization as a key step in analysis. Specifically, most investigation of gene expression microarray data is performed using visualization techniques. However, as microarrays become more ubiquitous, researchers must analyze their own data within the context of previously published work in order to gain a more complete understanding. No current method for microarray visualization and analysis enables biology researchers to observe the greater context of data that surrounds their own results, which severely limits the ability of researchers draw novel conclusions. Here we present a system, called HIDRA, that visually integrates the simultaneous display of multiple microarray datasets to identify important parallels and dissimilarities. We demonstrate the power of our approach through examples of real-world biological insights that can be observed using HIDRA that are not apparent using other techniques.

关键词： Genomics Bioinformatics Displays data visualization data analysis Gene expression Evolution (biology) Biological information theory Computer science Cells (biology)

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Representing, Analyzing, and Visualizing Scholarly data in Support of Research Management

Representing, Analyzing, and Visualizing Scholarly Data in S...

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International conference on Information Visualisation (IV)

作者： Thomas Neirynck Katy Borner School of Library and Information Science Indiana University Bloomington IN USA

This paper describes a data management system that serves leaders and members of scholarly units (e.g., research groups, laboratories or centers) to organize, store, and access information relevant to their work and to the operation of their unit. In particular, we discuss the representation of major data types such as people, projects, teaching, publications, presentations, calls & events, datasets, software, hardware, and funding as well as their interlink ages. Based on this representation, different analyses and visualizations become possible. Each visualization is presented in detail and its usage and relevance for the management and presentation of a unit's operation is discussed. We conclude with an outlook and discussion.

关键词： data visualization Education Hardware Information technology data analysis Laboratories Knowledge management Information retrieval Information analysis Communication system operations and management

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Displaying co-occurrences of patterns in streams for website usage analysis

Displaying co-occurrences of patterns in streams for website...

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19th Belgian-Dutch conference on Artificial Intelligence, BNAIC 2007

作者： De Graaf, Edgar H. Kok, Joost N. Kosters, Walter A. Leiden Institute of Advanced Computer Science Leiden University Netherlands

One way of getting a better view of data is by using frequent patterns. In this paper frequent patterns are (sub)sets that occur a minimal number of times in a stream of itemsets. However, the discovery of frequent patterns in streams has always been problematic. Because streams are potentially endless it is harder to say if a pattern is frequent or not. Furthermore, the number of patterns can be huge and a good overview of the structure of the stream is lost quickly. The proposed approach will use competitive neural network methods to online model pattern co-occurrence in a stream of itemsets. A model of the co-occurrence of patterns will give the user an improved view on the structure of the stream. Some patterns might occur so often together that they should form a combined pattern. In this way the patterns in the clustering will approximate the largest frequent patterns: maximal frequent patterns. The number of (approximated) maximal frequent patterns is much smaller and combined with methods of visualization using competitive neural networks these patterns provide a good view on the structure of the stream.

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GeoDDupe: A Novel Interface for Interactive Entity Resolution in Geospatial data

GeoDDupe: A Novel Interface for Interactive Entity Resolutio...

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International conference on Information Visualisation (IV)

作者： Hyunmo Kang Vivek Sehgal Lise Getoor Institute for Advanced Computer Studies University of Maryland College Park MD USA Computer Science Department University of Maryland College Park MD USA

Due to the growing interest in geospatial data mining and analysis, data cleaning and integration in geospatial data is becoming an important issue. Geospatial entity resolution is the process of reconciling multiple location references to the same real world location within a single data source (deduplication) or across multiple data sources (integration). In this paper, we introduce an interactive tool called GeoDDupe which effectively combines automatic data mining algorithms for geospatial entity resolution with a novel network visualization supporting users' resolution analysis and decisions. We illustrate the GeoDDupe interface with an example geospatial dataset and show how users can efficiently and accurately resolve location entities. Finally, the case study with two real-world geospatial datasets demonstrates the potential of GeoDDupe.

关键词： Spatial resolution data mining data visualization databases data analysis Merging Computer science Computer interfaces Educational institutions Cleaning

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Network data Mining: Methods and techniques for discovering deep linkage between attributes

Network Data Mining: Methods and techniques for discovering ...

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3rd Asia-Pacific conference on Conceptual Modelling, APCCM 2006

作者： Galloway, John Simoff, Simeon J. Complex Systems Research Centre University of Technology Sydney PO Box 123 Broadway NSW 2007 Australia NetMap Analytics Pty. Ltd. 52 Atchison Street St Leonards NSW 2065 Australia Faculty of Information Technology University of Technology Sydney PO Box 123 Broadway NSW 2007 Australia Electronic Markets Group Institute for Information and Communication Technologies University of Technology Sydney PO Box 123 Broadway NSW 2007 Australia

Network data Mining identifies emergent networks between myriads of individual data items and utilises special algorithms that aid visualisation of 'emergent' patterns and trends in the linkage. It complements conventional data mining methods, which assume the independence between the attributes and the independence between the values of these attributes. These techniques typically flag, alert or alarm instances or events that could represent anomalous behaviour or irregularities because of a match with pre-defined patterns or rules. They serve as 'exception detection' methods where the rules or definitions of what might constitute an exception are able to be known and specified ahead of time. Many problems are suited to this approach. Many problems however, especially those of a more complex nature, are not well suited. The rules or definitions simply cannot be specified. For example, in the analysis of transaction data there are no known suspicious transactions. This chapter presents a human-centred network data mining methodology that addresses the issues of depicting implicit relationships between data attributes and/or specific values of these attributes. A case study from the area of security illustrates the application of the methodology and corresponding data mining techniques. The chapter argues that for many problems, a 'discovery' phase in the investigative process based on visualisation and human cognition is a logical precedent to, and complement of, more automated 'exception detection' phases.

关键词： visualization

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Towards a computer aided diagnosis system for colon motility dysfunctions

Towards a computer aided diagnosis system for colon motility...

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Medical Imaging 2007 conference

作者： Glocker, Ben Buhmann, Sonja Kirchhoff, Chlodwig Mussack, Thomas Reiser, Maximilian Navab, Nassir Tech Univ Munich Chair Comp Aided Med Procedures Boltmannstr 3 D-85748 Garching Germany Klin LMU Grosshadern Inst Klin Radiol D-81337 Munich Germany Klin LMU Innenstadt Chirurg Klin & Poliklin D-80336 Munich Germany

ISBN: (纸本)9780819466327

Colon motility disorders are a very common problem. A precise diagnosis with current methods is almost unachievable. This makes it extremely difficult for the clinical experts to decide for the right intervention such as colon resection. The use of cine MRI for visualizing the colon motility is a very promising technique. In addition, if image segmentation and qualitative motion analysis provide the necessary tools, it could provide the appropriate diagnostic solution. In this work we defined necessary steps in the image processing workflow to gain valuable measurements for a computer aided diagnosis of colon motility disorders. For each step, we developed methods to deal with the dynamic image data. There is need for compensating the breathing motion since no respiratory gating could be used. We segment the colon using a graph cuts approach in 2D and 3D for further analysis and visualization. The analysis of the large bowel motility is done by tracking the extension of the colon during a propagating peristaltic wave. The main objective of this work is to extract a motion model to define a clinical index that can be used in diagnosis of large bowel motility dysfunction. We aim at the classification and localization of such pathologies.

关键词： methods : pre-processing quantitative image analysis modalities : magnetic resonance diagnostic task : diagnosis

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The Effect of Aesthetic on the Usability of data visualization

The Effect of Aesthetic on the Usability of Data Visualizati...

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International conference on Information Visualisation (IV)

作者： Nick Cawthon Andrew Vande Moere The University of Sydney Australia The University of Sydney Sydney NSW AU

Aesthetic seems currently under represented in most current data visualization evaluation methodologies. This paper investigates the results of an online survey of 285 participants, measuring both perceived aesthetic as well as the efficiency and effectiveness of retrieval tasks across a set of 11 different data visualization techniques. The data visualizations represent an identical hierarchical dataset, which has been normalized in terms of color, typography and layout balance. This study measured parameters such as speed of completion, accuracy rate, task abandonment and latency of erroneous response. Our findings demonstrate a correlation between latency in task abandonment and erroneous response time in relation to visualization's perceived aesthetic. These results support the need for an increased recognition for aesthetic in the typical evaluation process of data visualization techniques.

关键词： Usability data visualization Delay Error analysis Time measurement Art Particle measurements Information retrieval Velocity measurement Human factors

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Visualising Communication Network Security Attacks

Visualising Communication Network Security Attacks

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International conference on Information Visualisation (IV)

作者： Shahrulniza Musa David J. Parish Electronic and Electrical Engineering Department Loughborough University UK

The task of exploring and analysing large quantities of communication network security data is difficult. Visualisation of the data should help the analyses and make data exploration faster and easier. This paper describes prototype software that visualises the alerts effectively and provides a simple presentation. The needs analysis of this prototype is based on the suggested needs of network security analyst's tasks as seen in the literature. The prototype software incorporates various projections of the alert data in 3-dimensional displays. Filtering, drill-down and playback of alerts at variable speed are incorporated to strengthen the analysis. We integrate a false alert classifier using classification tree algorithm to classify alerts into false and true alerts. Real-time visual observation is also included. We describe some example analyses to prove the usefulness of our prototype.

关键词： Communication networks data security Software prototyping Classification tree analysis Prototypes data visualization data analysis Displays Filtering Classification algorithms

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