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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481-490 订阅

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Dynamic analysis of EEG signals during spatial working memory used for either perception discrimination or planning of action

Dynamic analysis of EEG signals during spatial working memor...

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33rd Annual International conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBS)

作者： Protopapa, Foteini Mylonas, Dimitris Spiliotis, Konstantinos Siettos, Constantinos Smyrnis, Nikolaos Evdokimidis, Ioannis Natl Tech Univ Athens GR-15780 Athens Greece Univ Athens Aiginit Hosp Med Sch Dept Psychiat Athens Greece Univ Athens Aiginit Hosp Med Sch Dept Neurol Athens Greece

ISBN: (纸本)9781424441228

We analysed multi-channel electroencephalographic (EEG) recordings during a spatial Working Memory (WM) task in order to test the hypothesis that segmentation of perception and action is present when the visual stimulus has been stored in spatial WM. To detect the interactions between different regions of the brain depending on the task we employed both Short Time Fourier Transformation (STFT) and the concept of Granger Causality (GC). Our computational analysis supports evidence that the Parietal Cortex (PC) is involved in WM processing.

关键词： Brain models data models Delay EEG signals Electroencephalography Fourier transforms Granger causality Mathematical model visualization brain causality dynamic analysis electroencephalography medical signal processing multichannel electroencephalography p

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The Self-Organizing Map Tree (SOMT) for Nonlinear data Causality Prediction

The Self-Organizing Map Tree (SOMT) for Nonlinear Data Causa...

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18th International conference on Neural Information Processing (ICONIP)

作者： Chung, Younjin Takatsuka, Masahiro Univ Sydney Sch IT ViSLAB Sydney NSW 2006 Australia

ISBN: (纸本)9783642249570;9783642249587

This paper presents an associated visualization model for the nonlinear and multivariate ecological data prediction processes. Estimating impacts of changes in environmental conditions on biological entities is one of the required ecological data analyses. For the causality analysis, it is desirable to explain complex relationships between influential environmental data and responsive biological data through the process of ecological data predictions. The proposed Self-Organizing Map Tree utilizes Self-Organizing Maps as nodes of a tree to make association among different ecological domain data and to observe the prediction processes. Nonlinear data relationships and possible prediction outcomes are inspected through the processes of the SOMT that shows a good predictability of the target output for the given inputs.

关键词： Nonlinear data Relationships and Prediction Processes Artificial Neural Network Information visualization Self-Organizing Map

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The visualization aids and traffic accident reconstruction

The visualization aids and traffic accident reconstruction

引用

1st International conference on Transportation Information and Safety: Multimodal Approach to Sustained Transportation System Development - Information, Technology, Implementation, ICTIS 2011

作者： Wang, Shih Chia Department of Aeronautical Engineering National Formosa University No.64 Wuhwa Rd. Huwei Township Yunlin County 63201 Taiwan

ISBN: (纸本)9780784411773

The objective of traffic accident reconstruction is to simulate the scene and event of an accident;therefore people have an idea how did it happen. Nowadays investigators use site survey data, photos taken from the scene, injury and autopsy reports and witness transcripts to conduct their investigation. It's difficult to integrate all these data and reconstruct the sequence of occurrence events. This article proposes an innovative method to interpret traffic accidents. Document such as site survey data, GIS data, and information from police were used. Furthermore, developing investigation techniques shall have the features of reliability and practicality that lead individual evidences to present consistent analysis result. Later on by conducting factual report verification, occurrence analysis and accident conclusion, a simulation of animation is provided for stakeholders. People will have visualization aids and know what happened and how it happened. Thus lessons learned will be provided to the public and prevent recurrence of similar accidents. © 2011 ASCE.

关键词： Highway accidents

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Tweets as data: Demonstration of TweeQL and TwitInfo 11

Tweets as data: Demonstration of TweeQL and TwitInfo

引用

2011 ACM SIGMOD and 30th PODS 2011 conference

作者： Marcus, Adam Bernstein, Michael S. Badar, Osama Karger, David R. Madden, Samuel Miller, Robert C. MIT CSAIL Cambridge MA United States

ISBN: (纸本)9781450306614

Microblogs such as Twitter are a tremendous repository of user-generated content. Increasingly, we see tweets used as data sources for novel applications such as disaster mapping, brand sentiment analysis, and real-time visualizations. In each scenario, the workflow for processing tweets is ad-hoc, and a lot of unnecessary work goes into repeating common data processing patterns. We introduce TweeQL, a stream query processing language that presents a SQL-like query interface for unstructured tweets to generate structured data for downstream applications. We have built several tools on top of TweeQL, most notably TwitInfo, an event timeline generation and exploration interface that summarizes events as they are discussed on Twitter. Our demonstration will allow the audience to interact with both TweeQL and TwitInfo to convey the value of data embedded in tweets. © 2011 Authors.

关键词： visualization

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Real-time compression of time series building performance data

Real-time compression of time series building performance da...

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12th conference of International Building Performance Simulation Association Building Simulation 2011, BS 2011

作者： Goldstein, Rhys Glueck, Michael Khan, Azam Autodesk Research 210 King St. East Toronto ON Canada

If building performance simulations are to fully benefit from increasing quantities of sensor data, subsets of large datasets must be efficiently extracted at varying levels of detail. A key issue with time series data is that relevant time scales vary by orders of magnitude depending on the desired analysis. To ensure that a subset of a time series is available when needed at an appropriate resolution, lossy compression can be applied in real time as data is acquired. We propose an algorithm that compresses a piecewise constant time series by merging segments within a sliding time window. This procedure tends to preserve prominent edges and spikes. While building control system dashboards and simulation tools often average data over fixed time periods (e.g. hourly averages), the proposed method achieves lower errors for the same compression ratio and provides better support for signal processing, data visualization, and simulation.

关键词： Time series

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Academic research policy-making and evaluation using graph visualisation

Academic research policy-making and evaluation using graph v...

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15th Panhellenic conference on Informatics, PCI 2011

作者： Anastasios, Tsolakidis Sgouropoulou, Cleo Xydas, Ioannis Terraz, Olivier Miaoulis, Georgios Technological Education Institute of Athens Department of Informatics Ag.Spyridonos St. 122 10 Egaleo Greece Department of Mathematics and Computer Sciences 123 avenue Albert Thomas 87060 LIMOGES CEDEX France

ISBN: (纸本)9780769543895

Higher education institutions need to have a social responsibility and attainable objectives regarding their education and research activities. In our approach we use multi-indicator analysis in order to evaluate the research activities of an institution as well the degree of achievement for a specified research policy. Our work is a part of prototype system that supports academic evaluation and decision-making processes concerning research policies, using visual analytics. The presented case study emphasises on the analysis of the research collaborations indicated in published research work. Our main data sources are the Scopus library, Google Scholar and the Quality Assurance Unit Service of a Greek higher education institution. data are retrieved and enriched by additional analysis and graph metrics. The developed system provides enables user to evaluate aspects of the quality of academic research activities in the context of specific policies and criteria and make informed decisions on the establishment of new strategies. © 2011 IEEE.

关键词： visualization

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Demixed principal component analysis

Demixed principal component analysis

引用

25th Annual conference on Neural Information Processing Systems 2011, NIPS 2011

作者： Brendel, Wieland Romo, Ranulfo MacHens, Christian K. Ecole Normale Supérieure Paris France Champalimaud Neuroscience Programme Lisbon Portugal Instituto de Fisiología Celular Universidad Nacional Autónoma de México Mexico City Mexico

ISBN: (纸本)9781618395993

In many experiments, the data points collected live in high-dimensional observation spaces, yet can be assigned a set of labels or parameters. In electrophysiological recordings, for instance, the responses of populations of neurons generally depend on mixtures of experimentally controlled parameters. The heterogeneity and diversity of these parameter dependencies can make visualization and interpretation of such data extremely difficult. Standard dimensionality reduction techniques such as principal component analysis (PCA) can provide a succinct and complete description of the data, but the description is constructed independent of the relevant task variables and is often hard to interpret. Here, we start with the assumption that a particularly informative description is one that reveals the dependency of the high-dimensional data on the individual parameters. We show how to modify the loss function of PCA so that the principal components seek to capture both the maximum amount of variance about the data, while also depending on a minimum number of parameters. We call this method demixed principal component analysis (dPCA) as the principal components here segregate the parameter dependencies. We phrase the problem as a probabilistic graphical model, and present a fast Expectation-Maximization (EM) algorithm. We demonstrate the use of this algorithm for electrophysiological data and show that it serves to demix the parameter-dependence of a neural population response.

关键词： Principal component analysis

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An architecture for the forensic analysis of windows system artifacts

An architecture for the forensic analysis of windows system ...

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2nd International conference on Digital Forensics and Cyber Crime, ICDF2C 2010

作者： Hashim, Noor Sutherland, Iain University of Glamorgan United Kingdom

ISBN: (纸本)9783642195129

We propose an architecture to enable the forensic investigator to analyze and visualise a range of system generated artifacts with known and unknown data structures. The architecture is intended to facilitate the extraction and analysis of operating system artifacts while being extensible, flexible and reusable. The examples selected for the paper are the Windows Event Logs and Swap Files. Event logs can reveal evidence regarding logons, authentication, accounts and privileged use and can address questions relating to which user accounts were being used and which machines were accessed. The Swap file may contain fragments of data, remnants or entire documents, e-mail messages or the results of internet browsing which may reveal past user activities. Issues relating to understanding and visualising artifacts data structures are discussed and possible solutions are explored. We outline a proposed solution;an extraction component responsible for extracting data and preparing the data for visualisation, a storage subsystem consisting of a database that holds all of the extracted data and the interface, an integrated set of visualization tools. © Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2011.

关键词： visualization

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Pointwise local pattern exploration for sensitivity analysis

Pointwise local pattern exploration for sensitivity analysis

引用

2nd IEEE conference on Visual Analytics Science and Technology 2011, VAST 2011

作者： Guo, Zhenyu Ward, Matthew O. Rundensteiner, Elke A. Ruiz, Carolina Computer Science Department Worcester Polytechnic Institute United States

ISBN: (纸本)9781467300131

Sensitivity analysis is a powerful method for discovering the significant factors that contribute to targets and understanding the interaction between variables in multivariate datasets. A number of sensitivity analysis methods fall into the class of local analysis, in which the sensitivity is defined as the partial derivatives of a target variable with respect to a group of independent variables. Incorporating sensitivity analysis in visual analytic tools is essential for multivariate phenomena analysis. However, most current multivariate visualization techniques do not allow users to explore local patterns individually for understanding the sensitivity from a pointwise view. In this paper, we present a novel pointwise local pattern exploration system for visual sensitivity analysis. Using this system, analysts are able to explore local patterns and the sensitivity at individual data points, which reveals the relationships between a focal point and its neighbors. During exploration, users are able to interactively change the derivative coefficients to perform sensitivity analysis based on different requirements as well as their domain knowledge. Each local pattern is assigned an outlier factor, so that users can quickly identify anomalous local patterns that do not conform with the global pattern. Users can also compare the local pattern with the global pattern both visually and statistically. Finally, the local pattern is integrated into the original attribute space using color mapping and jittering, which reveals the distribution of the partial derivatives. Case studies with real datasets are used to investigate the effectiveness of the visualizations and interactions. © 2011 IEEE.

关键词： Sensitivity analysis

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Extraction and visualization of communities in blogs mediated networks

Extraction and visualization of communities in blogs mediate...

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17th Americas conference on Information Systems 2011, AMCIS 2011

ISBN: (纸本)9781618390981

With the growing popularization of blogs, it becomes necessary the development of tools that can extract and process data to present it in a clear and meaningful way so this information can be studied. Under this aspect, in this work, a social network based on traces of interactions between blogs was mapped using data available on the Internet with the purpose of demonstrate the growing of this network and to serve as basis for analysis experts.

关键词： Blogs

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