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

共 1225 条记录，以下是501-510 订阅

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Computer-Aided Diagnosis of Patients with Mental Disorders Using the Copernicus System

Computer-Aided Diagnosis of Patients with Mental Disorders U...

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4th International conference on Human System Interaction (HSI)

作者： Gomula, Jerzy Pancerz, Krzysztof Szkola, Jaroslaw Univ Informat Technol & Management Inst Biomed Informat Rzeszow Poland Medan Fdn Andropause Inst Warsaw Poland Cardinal Stefan Wyszynski Univ Warsaw Poland

ISBN: (纸本)9781424496402

In the paper, a general overview of the Copernicus system is given. Copernicus is a tool for computer-aided diagnosis of mental disorders based on personality inventories. The tool was designed for the Java platform. There have been selected and implemented different quantitative groups of methods useful for differential interprofile diagnosis. The aim of this paper is to present the capabilities of the software tool created for effective and specialized analysis of psychometric data to support psychologists in diagnostic decision making.

关键词： computer-aided diagnosis classification visualization decision support MMPI

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A multimodal-corpus data collection system for cognitive acoustic scene analysis

A multimodal-corpus data collection system for cognitive aco...

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2011 45th Annual conference on Information Sciences and Systems, CISS 2011

作者： Georgiou, Julius Pouliquen, Philippe Cassidy, Andrew Garreau, Guillaume Andreou, Charalambos Stuarts, Guillermo D'Urbal, Cyrille Andreou, Andreas G. Denham, Susan Wennekers, Thomas Mill, Robert Winkler, István Bohm, Tamás Szalárdy, Orsolya Klump, Georg M. Jones, Simon Bendixen, Alexandra Department of Electrical and Computer Engineering University of Cyprus Nicosia 1678 Cyprus Department of Electrical and Computer Engineering Johns Hopkins University Baltimore MD 21218 United States Department of Psychology Centre for Robotics and Neural Systems University of Plymouth United Kingdom Institute for Psychology Hungarian Academy of Sciences Budapest Hungary Department of Biology and Environmental Sciences University of Oldenburg Oldenburg Germany Institute of Psychology University of Leipzig Leipzig Germany

ISBN: (纸本)9781424498475

We report on the design and the collection of a multi-modal data corpus for cognitive acoustic scene analysis. Sounds are generated by stationary and moving sources (people), that is by omni-directional speakers mounted on people's heads. One or two subjects walk along predetermined systematic and random paths, in synchrony and out of sync. Sound is captured in multiple microphone systems, including a four MEMS microphone directional array, two electret microphones situated in the ears of a stuffed gerbil head, and a Head Acoustics, head-shoulder unit with ICP microphones. Three micro-Doppler units operating at different frequencies were employed to capture gait and the articulatory signatures as well as location of the people in the scene. Three ground vibration sensors were recording the footsteps of the walking people. A 3D MESA camera as well as a web-cam provided 2D and 3D visual data for system calibration and ground truth. data were collected in three environments ranging from a well controlled environment (anechoic chamber), an indoor environment (large classroom) and the natural environment of an outside courtyard. A software tool has been developed for the browsing and visualization of the data. © 2011 IEEE.

关键词： data visualization

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Spatio-Temporal 3D Terrain Modeling and visualization Based on Measuring data of AUV

Spatio-Temporal 3D Terrain Modeling and Visualization Based ...

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MTS/IEEE OCEANS conference

作者： Wang, Hong-jian Fu, Gui-xia Xu, Jin-long Li, Juan Harbin Engn Univ Coll Automat Harbin Heilongjiang Pr Peoples R China

ISBN: (纸本)9780933957398

Autonomous Underwater Vehicle (AUV) is more and more applied in the mission of AUV terrain reconnaissance. At the same time, sensors especial oceanography measuring sensors data's processing and utilizing is important to the oceanography research and resource exploitation usages of AUV. This paper discusses methods of 3D terrain vector modeling and its visualizing based on multi-beam sonar. In this paper, sensors data are used to provide the absolute coordinate points of terrain. An improved Delaunay triangulation modeling algorithm is designed to set up the vector model of terrain. And the visual 3D model is demonstrated on the platform of Visual C++ and OpenGL, and it could be applied to continuous data processing and analysis for oceanographic terrain reconnaissance.

关键词： Autonomous underwater vehicles

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Detecting emergent conflicts through web mining and visualization

Detecting emergent conflicts through web mining and visualiz...

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2011 1st European Intelligence and Security Informatics conference, EISIC 2011

作者： Johansson, Fredrik Brynielsson, Joel Hörling, Pontus Malm, Michael Mårtenson, Christian Truvé, Staffan Rosell, Magnus Stockholm Sweden Recorded Future AB Göteborg Sweden

ISBN: (纸本)9780769544069

An ocean of data is available on the web. From this ocean of data, information can in theory be extracted and used by analysts for detecting emergent trends (trend spotting). However, to do this manually is a daunting and nearly impossible task. We describe a semi-automatic system in which data is automatically collected from selected sources, and to which linguistic analysis is applied to extract e.g., entities and events. After combining the extracted information with human intelligence reports, the results are visualized to the user of the system who can interact with it in order to obtain a better awareness of historic as well as emergent trends. A prototype of the proposed system has been implemented and some initial results are presented in the paper. © 2011 IEEE.

关键词： Linguistics

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Visual analysis of people's mobility pattern from mobile phone data 11

Visual analysis of people's mobility pattern from mobile pho...

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Proceedings of the 2011 Visual Information Communication - International Symposium

作者： Pu, Jiansu Xu, Panpan Qu, Huamin Cui, Weiwei Liu, Siyuan Ni, Lionel Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong

ISBN: (纸本)9781450308755

The large amount of phone call records from mobile operators in a city can inform us how many people are present in any given area and how many are entering or leaving. Each phone call record usually contains the caller and callee IDs, date and time, and the base station where the phone calls are made. As mobile phones are widely used in our daily life, many human behaviors can be revealed by analyzing mobile phone data. In this paper, we propose a comprehensive visual analysis system which can be used to analyze the population's mobility patterns from millions of phone call records. Our system consists of three major components: 1) visual analysis of user groups in a base station;2) visual analysis of the mobility patterns on different user groups making phone calls in certain base stations;3) visual analysis of handoff phone call records. Some well-established visualization techniques such as parallel coordinates and pixel-based representations have been integrated into our system. We also develop a novel visualization schemes, Voronoi-diagram-based visual encoding to reveal the unique features of mobile phone data. We have applied our system to real mobile phone data collected in a large city and obtained some interesting findings regarding people's mobility pattern. © 2011 ACM.

关键词： Base stations

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Visual data Mining: Using Self-Organizing Maps for Electricity Distribution Regulation

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International conference on Digital Enterprise and Information Systems

作者： Liu, Hongyan Eklund, Tomas Back, Barbro Vanharanta, Hannu Abo Akad Univ Turku Ctr Comp Sci TUCS Joukahaisenkatu 3-5A Turku 20520 Finland Tampere Univ Technol Pori Sch Technol & Econom FIN-33101 Tampere Finland

ISBN: (纸本)9783642226021

The electricity distribution regulation and efficiency benchmarking practice in Finland has drawn attention because of its controversial regulatory scheme and arguably efficient electricity distribution sector. This study uses a computational intelligence tool, i.e., Self-Organizing Map (SOM), in the context of electricity distribution efficiency performance visualization. A SOM-model has been built based on collected data for 2001-2004. It allows the reader to discriminate between the Finnish DSOs' differing operating circumstances. Through clustering and visualization, an overall perspective of the efficiency performance of the DSOs in 2001-2004 is rendered. In addition, such a visualization approach connects the DSO's efficiency performance to its respective operating characteristics, which is otherwise not straightforwardly indicated by only studying efficiency scores. This application provides evidence that visual data mining with the SOM as a complementary approach in electricity distribution regulation and efficiency benchmarking has the potential to be expended to other regulatory practices (e.g., yardstick regulation).

关键词： computational intelligence visual data mining artificial neural networks (ANNs) self-organizing maps (SOM) clustering visualization electricity distribution regulation efficiency benchmarking performance analysis

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Affordable Supercomputing for data Mining Applications

Affordable Supercomputing for Data Mining Applications

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2nd European Future Technologies conference and Exhibition (FET)

作者： Benczur, Andras A. Hungarian Acad Sci MTA SZTAKI Inst Comp Sci & Control Informat Lab Budapest Hungary

Business intelligence, e-science and Web mining are rapidly growing sources of extreme large scale problems. We demonstrate that emerging means of supercomputing-for-the-masses, distributed or many-core architectures may provide feasible and affordable solution to many applications. We give a brief overview in four areas: Web data processing to federate Future Internet Research (FIRE) facilities in a recently started project;Image retrieval over tasks of the PASCAL and PROMISE networks of excellence;Efficiency of distributed data warehouses for log processing and entity resolution;Network analysis, visualization and navigation, in the VAST Challenges and European security projects. We pass beyond existing technologies in implementing new frameworks, combining distributed and multicore technologies, and seeking new, breakthrough applications in an interdisciplinary research with application partners. (C) Selection and peer-review under responsibility of FET11 conference organizers and published by Elsevier B.V.

关键词： e-Science

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Gene expression data classification using locality preserving projections

Gene expression data classification using locality preservin...

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2011 11th IEEE International conference on Bioinformatics and Bioengineering, BIBE 2011

作者： Bian, Houqin Chung, Ronal Institute of Computer and Information Engineeringtao Shanghai University of Electric Power Shanghai China Department of Mechanical and Automation Engineering Chinese University of Hong Kong Hongkong Hong Kong

ISBN: (纸本)9780769543918

Classification analysis of gene expression data could lead to knowledge of gene functions and diseases mechanisms. However, the data involve nonlinear interactions among genes and environmental factors. Worst yet, while the data are usually of high dimensions, the sample sizes acquirable are generally relatively small, resulting in the well known difficulty - the curse of dimensionality - in the classification task. This work describes how gene expression data can be analyzed using Locality Preserving Projections (LPP) manifold learning method. LPP is a dimensionality reduction strategy for feature selection and visualization. Using LPP, the high dimensional gene expression data are mapped to a low dimensional subspace for data analysis. LPP finds the optimal linear approximations to the eigen functions of the Laplace Beltrami operator on the manifold. Not only does it share many convenient data-representation properties of the nonlinear techniques like Laplacian Eigenmaps or Locally Linear Embedding, it is also linear and more crucially is defined everywhere in the ambient space rather than just on the training data points. Comparative experimental results with PCA, LDA, LLE, etc. on different gene expression datasets show that the LPP-based method has the potential of being more efficient for complex gene expression data classification. © 2011 IEEE.

关键词： Classification (of information)

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Visualizing and understanding players' behavior in video games: Discovering patterns and supporting aggregation and comparison 11

Visualizing and understanding players' behavior in video gam...

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ACM Special Interest Group on Computer Graphics and Interactive Techniques conference, SIGGRAPH'11

作者： Moura, Dinara El-Nasr, Magy Seif Shaw, Christopher D. Simon Fraser University-SIAT Surrey BC V3T 0A3 Canada

ISBN: (纸本)9781450309707

As video games become more popular, there is an urge for procedures that can support the analysis and understanding of players' behaviors within game environments. Such data would inform game and level designers of game design issues that should be fixed or improved upon. By logging user-initiated events in video games, analysts have exhaustive information regarding players' actions within games. However, visualizing such data is a challenging task due to the amount of data one has to deal with;the necessity of a deep understanding of the game and players' possible actions within the game plus a deep understanding of questions one wants to answer;the computation that has to be done on the data;and the limitations and/or complexities of current analysis tools. In this paper, we present a new visualization system that allows analysts to build visualization and interact with telemetry data, to identify patterns and identify game design issues efficiently. Besides the system itself, we propose a new approach to visualize players' behavior that has not been explored so far. For example, instead of using heat maps to visualize a single metric (e.g. deaths), our system allows analysts to superimpose and visualize a series of actions players take in the game. This is especially important when one should understand cause and effect within the game. We present examples of the visualizations using an RPG game, Dragon Age Origins (BioWare/EA, 2009). It should be noted that the system is currently under development and testing with analysts working at BioWare. © 2011 ACM.

关键词： visualization

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Emergent: A Knowledge Discovery Tool for Understanding Emerging Industry Structure

Emergent: A Knowledge Discovery Tool for Understanding Emerg...

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4th International conference on Human System Interaction (HSI)

作者： Noyes, Erik Deligiannidis, Leonidas Babson Coll Wellesley MA 02457 USA Wentworth Inst Technol Boston MA USA

ISBN: (纸本)9781424496402

This paper presents a visual analytics tool to understand the emergence and structure of the nanotechnology industry. According to the U.S. National Science Foundation (NSF), the global nanotechnology industry is expected to grow to $1 trillion in 2010 and drive dramatic innovation and wealth creation in industries as diverse as energy, computing and biotechnology. Nanotech entrepreneurs, analysts and investors alike need tools to understand the emerging structure of the industry because firm competitive positions in the industry impact ventures' survival, growth and profitability. Particularly, nanotech ventures compete from different initial "strategic footprints" in the industry which ease or complicate entry into new growth businesses. In fact, the emergence of the nanotechnology industry is the story of interweaving with-and penetration into-different adjoining industries. Exploiting the world's largest database on consumer-focused nanotechnology products, this paper demonstrates a visual analytics tool, Emergent, that can show the emerging structure of the industry and ventures' varying strategic footprints within this forming multi-industry terrain. The tool is interactive, scalable, and adaptable to relational data from other industries. Business applications of Emergent include industry analysis, strategic planning and entrepreneurial opportunity identification.

关键词： information visualization network visualization visual analytics entrepreneurship industry evolution innovation

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