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检索条件"任意字段=Conference on Visualization and Data Analysis 2011"

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DEA based hierarchical structure evaluation and visualization method

DEA based hierarchical structure evaluation and visualizatio...

引用

IEEE International conference on Fuzzy Systems (FUZZ-IEEE)

作者： Kazushige Inoue Takeo Ichinotsubo Shingo Aoki Department of Computer Science and Intelligent Systems Osaka Prefecture University Osaka Japan

data Envelopment analysis (DEA) is a method for evaluating the management efficiency of Decision Making Units (DMUs) relatively. However, when the number of inputs and outputs items is increased, the results of evaluation value are similar regretfully. In order to evaluate Japanese universities which have various activities, this study proposed the hierarchical structure DEA model which is divided into some activities (finance, achievement, attractiveness, research, and education). Hierarchical structure has constructed by some layers based on the theory that the efficiencies of lower layer can not exceed the ones of upper layer. In addition, this paper proposed the visualization method that the analyst can visually understand which field is strong or weak. Using proposed DEA model and visualizing method, the numerical study showed us to be able to understand the feature of each university.

关键词： data visualization Education data envelopment analysis Finance data models Analytical models Intelligent systems

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Multiresolution Semantic visualization of Network Traffic

Multiresolution Semantic Visualization of Network Traffic

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International conference on Semantic Computing

作者： Alefiya Hussain Arun Viswanathan Information Sciences Institute USC USA

Multiresolution semantic analysis of data involves inferring increasing levels of meaning from data. Due to the large volume and complexity of network data, multi resolution visualizations allow the user to rapidly focus on meaningful and relevant information. Current tools and techniques for visual analysis of network data are limited in their ability to operate at semantically relevant resolutions and impose great cognitive burden on users to manually infer semantics from low-level details. Extending our previous work that allows users to define semantics as abstract models, we apply these models to construct multi resolution visualizations of network traffic data. Our methodology for visual exploration allows the user to rapidly analyze and understand network traces, by providing intuitive and interactive representations of the network. We demonstrate the effectiveness of our approach by applying it to analyzing network trace data from a cyber security incident involving DNS cache poisoning.

关键词： Spatial resolution Semantics data visualization visualization Analytical models Computer crime

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analysis of Constructing 3-Dimensional Virtual Scene Technique Based on DEM

Analysis of Constructing 3-Dimensional Virtual Scene Techniq...

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The 2011 International conference on Advanced Materials and Information Technology Processing(AMITP 2011)

作者： Xiaogen Li Zhiquan Huang Tong Jiang Anming Wang Institute of Resources and Environment North China Institute of Water Conservancy and Hydroelectric Power

ISBN: (纸本)9783037851579

High resolution DEM(Digital Elevation Model, DEM) is created based on original CAD terrain map(one reservoir as example). Then the article offers precision analysis, topographic factors analysis, visibility analysis, reservoir volume and submerging acreage computing. Then adopting Geo VRML technique is to implement the functions of Web GIS, visualization and query of computing result, graph data visualization and reservoir region virtual scene roaming etc. The system implements deep administrative levels information diged and long-distance visualization expression. The result shows on the basic high resolution DEM to realize 3-Dimensional visualization Analyse and calculation functions and compress the spatial data to release these data in the Web GIS(Web Geographical Information System, Web GIS) as well as.

关键词： DEM Terrain analysis Virtual Reality Geographical Information System(VRGIS) GIS Server Geo VRML

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From Sets to Graphs: Towards a Realistic Enrichment analysis of Transcriptomic Systems

From Sets to Graphs: Towards a Realistic Enrichment Analysis...

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2011 German conference on Bioinformatics, GCB 2011

作者： Geistlinger, Ludwig Csaba, Gergely Küffner, Robert Mulder, Nicola Zimmer, Ralf Institute for Informatics Ludwig-Maximilians-Universität Münchchen Amalienstr. 17 München80333 Germany Department of Clinical Laboratory Sciences Institute of Infectious Disease and Molecular Medicine University of Cape Town Anzio Road Observatory Cape Town7925 South Africa

Motivation: Current gene set enrichment approaches do not take interactions and associations between set members into account. Mutual activation and inhibition causing positive and negative correlation among set members are thus neglected. As a consequence, inconsistent regulations and contextless expression changes are reported and, thus, the biological interpretation of the result is impeded. Results: We analyzed established gene set enrichment methods and their result sets in a large-scale investigation of 1000 expression datasets. The reported statistically significant gene sets exhibit only average consistency between the observed patterns of differential expression and known regulatory interactions. We present Gene Graph Enrichment analysis (GGEA) to detect consistently and coherently enriched gene sets, based on prior knowledge derived from directed gene regulatory networks (GRNs). Firstly, GGEA improves the concordance of pairwise regulation with individual expression changes in respective pairs of regulating and regulated genes, compared to set enrichment methods. Secondly, GGEA yields result sets where a large fraction of relevant expression changes can be explained by nearby regulators, such as transcription factors, again improving on set based methods. Thirdly, we demonstrate in additional case studies that GGEA can be applied to human regulatory pathways, where it sensitively detects very specific regulation processes, which are altered in tumors of the central nervous system. GGEA significantly increases the detection of gene sets where measured positively or negatively correlated expression patterns coincide with directed inducing or repressing relationships thus facilitating further interpretation of gene expression data. Availability: The method and accompanying visualization capabilities have been bundled into an R package and tied to a grahical user interface, the Galaxy workflow environment, that is running as a web server. © GCB 2011 .All right

关键词： Association reactions

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Unrevealing biological process with linear algebra: Extracting patterns from noisy data

Unrevealing biological process with linear algebra: Extracti...

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作者： Couto, Bráulio Roberto Gonçalves Marinho Santoro, Marcelo Matos Dos Santos, Marcos Augusto Centro Universitário de Belo Horizonte / UNI-BH Av. Professor Mário Werneck 1685 Belo Horizonte Brazil Departamento de Bioquímica e Imunologia UFMG Av. Antonio Carlos 6627 Belo Horizonte Brazil Departamento de Ciência da Computação UFMG Av. Antonio Carlos 6627 Belo Horizonte Brazil

ISBN: (纸本)9789898425362

Extracting patterns from protein sequence data is one of the challenges of computational biology. Here we use linear algebra to analyze sequences without the requirement of multiples alignments. In this study, the singular value decomposition (SVD) of a sparse p-peptide frequency matrix (M) is used to detect and extract signals from noisy protein data (M = USVT). The central matrix S is diagonal and contains the singular values of M in decreasing order. Here we give sense to the biological significance of the SVD: the singular value spectrum visualized as scree plots unreveals the main components, the process that exists hidden in the database. This information can be used in many applications as clustering, gene expression analysis, immune response pattern identification, characterization of protein molecular dynamics and phylogenetic inference. The visualization of singular value spectrum from SVD analysis shows how many processes can be hidden in database and can help biologists to detect and extract small signals from noisy data.

关键词： Singular value decomposition

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Visualizing Bibliographic databases as Graphs and Mining Potential Research Synergies

Visualizing Bibliographic Databases as Graphs and Mining Pot...

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International conference on Advances in Social Network analysis and Mining, ASONAM

作者： Iraklis Varlamis George Tsatsaronis Department of Informatics and Telematics Harokopio University of Athens Athens Greece Department of Computer and Information Science Norwegian University of Science and Technology Norway

Bibliographic databases are a prosperous field for data mining research and social network analysis. They contain rich information, which can be analyzed across different dimensions(e.g., author, year, venue, topic) and can be exploited in multiple ways. The representation and visualization of bibliographic databases as graphs and the application of data mining techniques can help us uncover interesting knowledge concerning potential synergies between researchers, possible matchings between researchers and venues, or even the ideal venue for presenting a research work. In this paper, we propose a novel representation model for bibliographic data, which combines co-authorship and content similarity information, and allows for the formation of scientific networks. Using a graph visualization tool from the biological domain, we are able to provide comprehensive visualizations that help us uncover hidden relations between authors and suggest potential synergies between researchers or groups.

关键词： databases data mining Communities data visualization Information services Proteins

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Web-based Atmospheric Nucleation data Management and visualization

Web-based Atmospheric Nucleation Data Management and Visuali...

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International conference on Networking and Distributed Computing (ICNDC)

作者： Kai Zhu Huaguang Song Jinzhu Gao Department of Computer Science University of the Pacific Stockton CA USA

Nucleation phenomena play a crucial role in plenty of atmospheric and technological processes. Being short of efficient visual data exploration tools has given rise to trouble understanding atmospheric nucleation processes. In this paper, we utilize the knowledge of hyper tree visualization to enhance our previously developed web-based visualization and analysis tool that allows remote users to effectively mine the wealth of particle-based nucleation simulation data. Our goal is to speed up knowledge discovery and improve users' productivity through effective visual data mining techniques and more friendly user interface design. Meanwhile, we developed a feasible parallel computing solution to overcome the slow response due to expensive large data pre-processing.

关键词： Graphics processing unit data visualization Social network services Java data models Aggregates Atmospheric modeling

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Reasonable abstractions: Semantics for dynamic data visualization

Reasonable abstractions: Semantics for dynamic data visualiz...

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IEEE Symposium on Visual Analytics Science and Technology (VAST)

作者： Joseph A. Cottam Andrew Lumsdaine College of Technology Vietnam National University Hanoi Hanoi Vietnam

Chi showed how to treat visualization programing models abstractly. This provided a firm theoretical basis for the data-state model of visualization. However, Chi's models did not look deeper into fine-grained program properties, such as execution semantics. We present conditionally deterministic and resource bounded semantics for the data flow model of visualization based on E-FRP. These semantics are used in the Stencil system to move between data state and data flow execution, build task-based parallelism, and build complex analysis chains for dynamic data. This initial work also shows promise for other complex operators, compilation techniques to enable efficient use of time and space, and mixing task and data parallelism.

关键词： data visualization Semantics Rendering (computer graphics) data models Engines Programming Dynamic scheduling

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3D Estimation and visualization of motion in a multicamera network for sports

3D Estimation and visualization of motion in a multicamera n...

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2011 15th Irish Machine Vision and Image Processing conference, IMVIP 2011

作者： Kumar, Anil Chavan, P. Shashidhar Sharatchandra, V.K. David, Sumam Kelly, Philip O'Connor, Noel E. National Institute of Technology Karnataka Karnataka India CLARITY Centre for Sensor Web Technologies Dublin City University Dublin 9 Ireland

ISBN: (纸本)9780769546292

In this work, we develop image processing and computer vision techniques for visually tracking a tennis ball, in 3D, on a court instrumented with multiple low-cost IP cameras. The technique first obtains 2D ball tracking data from each camera view using 2D object tracking methods. Next, an automatic feature-based video synchronization method is applied. This technique uses the extracted 2D ball information from two or more camera views, plus camera calibration information. In order to find 3D trajectory, the temporal 3D locations of the ball is estimated using triangulation of correspondent 2D locations obtained from automatically synchronized videos. Furthermore, in order to improve the continuity of the tracked 3D ball during times when no two cameras have overlapping views of the ball location, we incorporate a physics-based trajectory model into the system. The resultant 3D ball tracks are then visualized in a virtual 3D graphical environment. Finally, we quantify the accuracy of our system in terms of reprojection error. © 2011 IEEE.

关键词： Location

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Supporting children with special needs through multi-perspective behavior analysis 11

Supporting children with special needs through multi-perspec...

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10th International conference on Mobile and Ubiquitous Multimedia, MUM'11

作者： Alt, Florian Bungert, Andreas Pfleging, Bastian Schmidt, Albrecht Havemann, Meindert University of Duisburg-Essen Paluno - Ruhr Institute for Software Technology Schützenbahn 70 45117 Essen Germany University of Stuttgart Institute for Visualization and Interactive Systems Pfaffenwaldring 5a 70569 Stuttgart Germany TU Dortmund Faculty for Rehabilitation Sciences Emil-Figge-Str. 50 44227 Dortmund Germany

ISBN: (纸本)9781450310963

In past years, ubiquitous computing technologies have been successfully deployed for supporting children with special needs. One focus of current research has been on post-hoc behavior analysis based on video footage where one or multiple cameras were used to review situations in which children behaved in a certain way. As miniaturized cameras as well as portable devices are becoming available at low costs, we envision a new quality in supporting the diagnosis, observation, and education of children with special needs. In contrast to existing approaches that use cameras in fix locations, we suggest to use multiple mobile camera perspectives. In this way observation data from fellow classmates, teachers, and caregivers can be considered, even in highly dynamic outdoor situations. In this paper we present MuPerBeAn, a platform that allows multi-perspective video footage from mobile cameras to be collected, synchronously reviewed, and annotated. We report on interviews with caregivers and parents and present a qualitative study based on two scenarios involving a total of seven children with autism (CWA). Our findings show that observing multiple mobile perspectives can help children as well as teachers to better reflect on situations, particularly during education. © 2011 ACM.

关键词： Ubiquitous computing

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