2008 IEEE Symposium on Visual Analytics Science and Technology最新文献_第4页

Interactive poster: Visual data mining of unevenly-spaced event sequences 交互式海报:非均匀间隔事件序列的可视化数据挖掘

2008 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2008-11-18 DOI: 10.1109/VAST.2008.4677379

Alex Godwin, Remco Chang, Robert Kosara, W. Ribarsky

引用次数: 2

Cell phone mini challenge award: Intuitive social network graphs visual analytics of cell phone data using mobivis and ontovis 手机迷你挑战奖:使用mobivis和ontovis对手机数据进行直观的社交网络图形可视化分析

2008 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2008-11-18 DOI: 10.1109/VAST.2008.4677391

Carlos D. Correa, Tarik Crnovrsanin, C. Muelder, Zeqian Shen, Ryan Armstrong, James Shearer, K. Ma

引用次数: 11

Visual evaluation of text features for document summarization and analysis 用于文档总结和分析的文本特征的视觉评价

2008 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2008-11-18 DOI: 10.1109/VAST.2008.4677359

Daniela Oelke, Peter Bak, D. Keim, Mark Last, Guy Danon

引用次数: 28

Crystal structures classifier for an evolutionary algorithm structure predictor 晶体结构分类器的一种结构预测进化算法

2008 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2008-11-18 DOI: 10.1109/VAST.2008.4677351

Mario Valle, A. Oganov

{"title":"Crystal structures classifier for an evolutionary algorithm structure predictor","authors":"Mario Valle, A. Oganov","doi":"10.1109/VAST.2008.4677351","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677351","url":null,"abstract":"USPEX is a crystal structure predictor based on an evolutionary algorithm. Every USPEX run produces hundreds or thousands of crystal structures, some of which may be identical. To ease the extraction of unique and potentially interesting structures we applied usual high-dimensional classification concepts to the unusual field of crystallography. We experimented with various crystal structure descriptors, distinct distance measures and tried different clustering methods to identify groups of similar structures. These methods are already applied in combinatorial chemistry to organic molecules for a different goal and in somewhat different forms, but are not widely used for crystal structures classification. We adopted a visual design and validation method in the development of a library (CrystalFp) and an end-user application to select and validate method choices, to gain userspsila acceptance and to tap into their domain expertise. The use of the classifier has already accelerated the analysis of USPEX output by at least one order of magnitude, promoting some new crystallographic insight and discovery. Furthermore the visual display of key algorithm indicators has led to diverse, unexpected discoveries that will improve the USPEX algorithms.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134322157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19

Configurable Spaces: Temporal analysis in diagrammatic contexts 可配置空间:图表上下文中的时间分析

2008 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2008-11-18 DOI: 10.1109/VAST.2008.4677355

T. Kapler, R. Eccles, R. Harper, W. Wright

{"title":"Configurable Spaces: Temporal analysis in diagrammatic contexts","authors":"T. Kapler, R. Eccles, R. Harper, W. Wright","doi":"10.1109/VAST.2008.4677355","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677355","url":null,"abstract":"Social network graphs, concept maps, and process charts are examples of diagrammatic representations employed by intelligence analysts to understand complex systems. Unfortunately, these 2D representations currently do not easily convey the flow, sequence, tempo and other important dynamic behaviors within these systems. In this paper we present Configurable Spaces, a novel analytical method for visualizing patterns of activity over time in complex diagrammatically- represented systems. Configurable Spaces extends GeoTime's X, Y, T coordinate workspace space for temporal analysis to any arbitrary diagrammatic work space by replacing a geographic map with a diagram. This paper traces progress from concept to prototype, and discusses how diagrams can be created, transformed and leveraged for analysis, including generating diagrams from knowledge bases, visualizing temporal concept maps, and the use of linked diagrams for exploring complex, multi-dimensional, sequences of events. An evaluation of the prototype by the National Institute of Standards and Technology showed intelligence analysts believed they were able to attain an increased level of insight, were able to explore data more efficiently, and that Configurable Spaces would help them work faster.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114347460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Understanding syndromic hotspots - a visual analytics approach 理解综合征热点-一种可视化分析方法

2008 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2008-11-18 DOI: 10.1109/VAST.2008.4677354

Ross Maciejewski, Stephen Rudolph, R. Hafen, A. Abusalah, M. Yakout, M. Ouzzani, W. Cleveland, S. Grannis, Michael Wade, D. Ebert

{"title":"Understanding syndromic hotspots - a visual analytics approach","authors":"Ross Maciejewski, Stephen Rudolph, R. Hafen, A. Abusalah, M. Yakout, M. Ouzzani, W. Cleveland, S. Grannis, Michael Wade, D. Ebert","doi":"10.1109/VAST.2008.4677354","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677354","url":null,"abstract":"When analyzing syndromic surveillance data, health care officials look for areas with unusually high cases of syndromes. Unfortunately, many outbreaks are difficult to detect because their signal is obscured by the statistical noise. Consequently, many detection algorithms have a high false positive rate. While many false alerts can be easily filtered by trained epidemiologists, others require health officials to drill down into the data, analyzing specific segments of the population and historical trends over time and space. Furthermore, the ability to accurately recognize meaningful patterns in the data becomes more challenging as these data sources increase in volume and complexity. To facilitate more accurate and efficient event detection, we have created a visual analytics tool that provides analysts with linked geo-spatiotemporal and statistical analytic views. We model syndromic hotspots by applying a kernel density estimation on the population sample. When an analyst selects a syndromic hotspot, temporal statistical graphs of the hotspot are created. Similarly, regions in the statistical plots may be selected to generate geospatial features specific to the current time period. Demographic filtering can then be combined to determine if certain populations are more affected than others. These tools allow analysts to perform real-time hypothesis testing and evaluation.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131826694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 28

Supporting exploration awareness for visual analytics 支持可视化分析的探索意识

2008 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2008-11-18 DOI: 10.1109/VAST.2008.4677378

Y. Shrinivasan, J. V. Wijk

引用次数: 7

Interactive poster: Visual analytic techniques for CO2 emissions and concentrations in the United States 互动海报:美国二氧化碳排放和浓度的可视化分析技术

2008 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2008-11-18 DOI: 10.1109/VAST.2008.4677372

N. Andrysco, Bedrich Benes, K. Gurney

{"title":"Interactive poster: Visual analytic techniques for CO2 emissions and concentrations in the United States","authors":"N. Andrysco, Bedrich Benes, K. Gurney","doi":"10.1109/VAST.2008.4677372","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677372","url":null,"abstract":"Climate change has emerged as one of the grand global challenges facing humanity. The dominant anthropogenic greenhouse gas that seems to be contributing to the climate change problem, carbon dioxide (CO2), has a complex cycle through the atmosphere, oceans and biosphere. The combustion of fossil fuels (power production, transportation, etc.) remains the largest source of anthropogenic CO2 to the Earthpsilas atmosphere. Up until very recently, the quantification of fossil fuel CO2 was understood only at coarse space and time scales. A recent research effort has greatly improved this space/time quantification resulting in source data at a resolution of less than 10 km2/hr at the surface of North America. By providing visual tools to examine this new, high resolution CO2 data, we can better understand the way that CO2 is transmitted within the atmosphere and how it is exchanged with other components of the Earth System. We have developed interactive visual analytic tools, which allows for easy data manipulation, analysis, and extraction. The visualization system is aimed for a wide range of users which include researchers and political leaders. The goal is to help assist these people in analyzing data and enabling new policy options in mitigation of fossil fuel CO2 emissions in the U.S.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128486711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Migrant boat mini challenge award: Simple and effective integrated display geo-temporal analysis of migrant boats 移民船迷你挑战奖:简单有效的移民船地时分析综合展示

2008 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2008-10-01 DOI: 10.1109/VAST.2008.4677387

R. Miklin, T. Lipić, Z. Konyha, M. Beric, W. Freiler, K. Matkovič, D. Gračanin

引用次数: 4

Migrant boat mini challenge award: Analysis summary a geo-temporal analysis of the migrant boat dataset 移民船迷你挑战奖:移民船数据集的地理时间分析分析摘要

2008 IEEE Symposium on Visual Analytics Science and Technology Pub Date : 2008-10-01 DOI: 10.1109/VAST.2008.4677394

B. Holland, Lisa Kuchy, J. Dalton

引用次数: 0