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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91-100 订阅

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Modeling and visualization of computational neuroanatomy

Modeling and visualization of computational neuroanatomy

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2005 International conference on Modeling, Simulation and visualization Methods, MSV'05

作者： Toga, Arthur W. Mazziotta, John C. Department of Neurology Brain Mapping Center David Geffen School of Medicine at UCLA 710 Westwood Plaza Los Angeles CA 90095 United States Department of Neurology Brain Mapping Center David Geffen School of Medicine at UCLA 660 Charles Young Drive South Los Angeles CA 90095 United States

ISBN: (纸本)9781932415704

Rapid and convenient access to digital image archives, as well as archive-based computational tools, are fundamental to many hypothesis-driven investigations of brain anatomy and function in health and disease. The complexity and density of brain image data requires the design of intelligent tools which allow scientific and clinical data, collected at numerous research centers, to be compared, integrated, and disseminated. We describe our results in the development of image data navigational tools, image analysis software, and strategies to represent populations of brain image data involving atlas descriptions of its variance.

关键词： Brain mapping

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Information acquisition for model based analysis of large logistics networks

Information acquisition for model based analysis of large lo...

引用

19th European conference on Modelling and Simulation (ECMS 2005)

作者： Bernhard, J Wenzel, S Fraunhofer Inst Mat Flow & Logist IML Dept Simulat Concepts & Instruments D-44227 Dortmund Germany

ISBN: (纸本)1842331159

Bases of each efficient analysis of Large Logistics Networks are valid input data in the right quality, quantity and granularity. Considering these demands a goal and task oriented information acquisition by using several techniques. of data acquisition, statistics and visualization is needed. This article gives an overview of current research results including theoretical definitions of terms like information, data, knowledge, a process oriented procedure model(degrees) for information acquisition as well as different taxonomies of methods from data acquisition, statistics and visualization and their utilization. Finally, the article presents prospects of future research with the focus on the utilization of the information acquisition procedure model in applications.

关键词： information acquisition model based analysis simulation logistics networks

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Research of Terrain 3D visualization Method based on IDL and ArcEngine

Research of Terrain 3D Visualization Method based on IDL and...

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International conference on Information Science and Cloud Computing Companion (ISCC-C)

作者： Yang, Bin Gu, Xiumei Zhan, Jinfeng Li, MaoJiao Minist Educ East China Inst Technol Engn Res Ctr Nucl Technol Applicat Nanchang 330000 Jiangxi Peoples R China Southwest Univ Sci & Technol Coll Environm & Resource Mianyang 621000 Peoples R China

ISBN: (纸本)9781479952458

It is a very hot research topic in GIS, virtual reality, computer graphics, digital photogrammetry and other fields which should be researched on 3D terrain visualization. There is also an important part of the digital earth strategy in many fields in order to resolve some comprehensive problems. Trying to take advantage of IDL data processing and graphic display function and ArcEngine spatial analysis function, in the Visual C # 2005 under the environment of hybrid programming mechanism, using of component design and development of integrated development technologies analysis of terrain visualization application operating environment. It should realize the 3D digital terrain expression and spatial analysis function. The results show that the IDL and ArcEngine integrated development method applied to the 3D terrain visualization analysis software platform developed operability and extension force with strong, both in terms of space efficiency and image data analysis, development costs advantages.

关键词： 3D visualization formatting Digital terrain IDL ArcEngine Integrated development

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On analysis and visualization of full-waveform airborne laser scanner data

On analysis and visualization of full-waveform airborne lase...

引用

conference on Laser Radar Technology and Applications X

作者： Söderman, U Persson, Å Töpel, J Ahlberg, S Swedish Def Res Agcy SE-58111 Linkoping Sweden

ISBN: (纸本)0819457760

The ongoing technical developments on airborne laser scanner systems, with shorter pulses, increased operation altitudes, focal plane array detectors, full-waveform digitization and recoding, etc. provide new opportunities for the expansion and growth of military as well as civilian applications. However, for the continuing development of systems F and applications one crucial issue is the research and development of new and efficient laser data processing methods for analysis and visualization. In this paper we will present some recent developments on visualization and analysis of full-waveform data. We will discuss visualization of waveform data by inserting the waveform samples in a 3D volume consisting of small 3D cells referred to as voxels. We will also present an approach for extracting additional 3D point data from the waveforms. The long term goal of this research is to develop methods for automated extraction of natural as well as man-made objects. The aim is to support the construction of high-fidelity 3D virtual environment models and detection and identification of man-made objects.

关键词： airborne laser scanning lidar full-waveform diaitization waveform analysis waveform data visualization laser data processing point extraction

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A Classification and data visualization Tool Applied to Human Migration analysis 6

A Classification and Data Visualization Tool Applied to Huma...

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6th International conference on eDemocracy and eGovernment (ICEDEG)

作者： Dominguez, David Soria, Pablo Gonzalez, Mario Rodriguez, Francisco B. Sanchez, Angel Univ Autonoma Madrid Escuela Politecn Super E-28049 Madrid Spain Univ Amer SI2 Lab Quito Ecuador Univ Rey Juan Carlos ETSII Mostoles 28933 Madrid Spain

ISBN: (纸本)9781728117041

Nowadays, in a highly-globalized world, the understanding of causes and consequences involved in the migration phenomena, and also the prediction of migration flows are important for development of national public policies and for urban resource planning. The high complexity of human im/emigration movements can not only be explained by economic causes but rather by the interaction among multiple additional factors (demographic, social, linguistic, among others). The application of Machine Learning techniques and data visualization models on high volumes of raw data from countries can provide good insight to understand how indicators from countries are related to migration causes, and also to make visible the migration flows between the sending and receiving countries. This paper describes a tool which includes supervised classification and visualization methods to analyze country indicators and aim to discover the connections among these attributes and the migration movements.

关键词： data visualization Country Classification Socio-Economic Indicators Country Indicator Histogram Migration Map Multilayer Perceptron

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User evaluations of interactive multimodal data presentation

User evaluations of interactive multimodal data presentation

引用

9th International conference on Information Visualisation

作者： Salvador, V Minghim, R Levkowitz, H Univ Sao Paulo Inst Math & Comp Sci BR-05508 Sao Paulo Brazil

ISBN: (纸本)0769523978

A set of user evaluation studies were performed to test hypotheses about the efficacy and value of the use of sonification by itself and together with visualization to improve the process of interactive data exploration. Our results show that, in some cases, sonification yielded more accurate analysis results than visualization, and when combined with visualization, yield much better results than either one (visualization or sonification) yielded separately. That supports sonification as a valuable and promising tool that should be further studied as a complement to visualization systems.

关键词： Information dissemination

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data mining

Data mining

引用

IEEE International conference on Fuzzy Systems, FUZZ-IEEE 2005

作者： Runkler, Thomas A. Siemens AG Munich Germany

The information in the world doubles about every 20 months. Among the fastest growing sources of data are the internet, industrial process supervision systems, business data bases, biotechnology and automatic imaging. Besides data acquisition and storage, data processing and exploitation are the biggest challenges. The goal is to extract the relevant information (the "knowledge") from large data sets. For this information extraction process, conventional (linear) statistical methods such as correlation and regression are applied, but also methods from cluster analysis, neural computation, and machine learning. The collection of these data analysis methods is called "data mining". data mining is part of the knowledge discovery process, which also covers preprocessing, filtering, visualization, transformation and feature generation. The tutorial introduces some of the most important methods for data mining and knowledge discovery and presents some real-world application examples. It is structured as follows: 1. Introduction and definitions 2. data sources, characteristics, and distortions 3. Preprocessing and filtering 4. visualization (projections, principal component analysis, multidimensional scaling, self-organizing maps) 5. data transformation and feature generation 6. data analysis (correlation, spurious correlation, regression, classification, decision trees, IDS, sequential clustering, c-means and its relatives, cluster estimation, radial basis functions, vector quantization) 7. Application examples © 2005 IEEE.

关键词： data mining

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A visual data mining framework for convenient identification of useful knowledge1'2

A visual data mining framework for convenient identification...

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5th IEEE International conference on data Mining, ICDM 2005

作者： Zhao, Kaidi Liu, Bing Tirpak, Thomas M. Xiao, Weimin Department of Computer Science University of Illinois at Chicago 851 S. Morgan Street Chicago IL 60607 United States Motorola Labs. 1301E. Algonquin Rd. Schaumburg IL 60196 United States

ISBN: (纸本)0769522785

data mining algorithms usually generate a large number of rules, which may not always be useful to human users. In this project, we propose a novel visual data-mining framework, called Opportunity Map, to identify useful and actionable knowledge quickly and easily from the discovered rules. The framework is inspired by the House of Quality from Quality Function Deployment (QFD) in Quality Engineering. It associates discovered rules, related summarized data and data distributions with the application objective using an interactive matrix. Combined with drill down visualization, integrated visualization of data distribution bars and rules, visualization of trend behaviors, and comparative analysis, the Opportunity Map allows users to analyze rules and data at different levels of detail and quickly identify the actionable knowledge and opportunities. The proposed framework represents a systematic and flexible approach to rule analysis, Applications of the system to large-scale data sets from our industrial partner have yielded promising results. © 2005 IEEE.

关键词： data mining

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Capturing & Visualizing Knowledge Work: Results & Implications of a Pilot Study of Proposal Writing Activity 07

Capturing & Visualizing Knowledge Work: Results & Implicatio...

引用

25th ACM International conference on Design of Communication

作者： Hart-Davidson, William Spinuzzi, Clay Zachry, Mark Michigan State Univ E Lansing MI 48824 USA

ISBN: (纸本)9781595935885

This paper reports on a pilot study of three proposal writers conducted by the authors during late Fall 2005 and Spring 2006. In this report we discuss how well the data collection, data analysis, and data visualization methods served the interests of our project and of the participants, along with implications for future research. Among the methodological issues we address: how to capture rich accounts of fragmented work without taxing participants too much, how to filter rich datasets that result from automated recording of work sessions to focus on specific issues, and how to visualize data to elicit follow-up information from participants.

关键词： Knowledge work visualization proposal writing

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visualization-based analysis of quality for large-scale software systems

Visualization-based analysis of quality for large-scale soft...

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20th IEEE/ACM International conference on Automated Software Engineering, ASE 2005

作者： Langelier, Guillaume Sahraoui, Houari Poulin, Pierre DIRO Université de Montréal Montréal QC Canada

We propose an approach for complex software analysis based on visualization. Our work is motivated by the fact that in spite of years of research and practice, software development and maintenance are still time and resource consuming, and high-risk activities. The most important reason in our opinion is the complexity of many phenomena related to software, such as its evolution and its reliability. In fact, there is very little theory explaining them. Today, we have a unique opportunity to empirically study these phenomena, thanks to large sets of software data available through open-source programs and open repositories. Automatic analysis techniques, such as statistics and machine learning, are usually limited when studying phenomena with unknown or poorly-understood influence factors. We claim that hybrid techniques that combine automatic analysis with human expertise through visualization are excellent alternatives to them. In this paper, we propose a visualization framework that supports quality analysis of large-scale software systems. We circumvent the problem of size by exploiting perception capabilities of the human visual system. Copyright 2005 ACM.

关键词： Software design

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