检索结果-内蒙古大学图书馆

Visual Abstraction Improvement of interactive Dot Map 17

Visual Abstraction Improvement of Interactive Dot Map

17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)

作者： Zhang, Di Zhu, Ligu Xiao, Zida Zhang, Lei Commun Univ China Beijing Key Lab Big Data Secur & Protect Ind Beijing Peoples R China

ISBN: (纸本)9781509022397

The distribution of multiclass discrete data in geographic space is a research hotspot in the field of geographic related visualization. As a basic visual presentation of such data, the advantages of dot maps are perceptual intuition and abundant details, but there is also the problem of poor readability due to the points overlap. The approach of density estimation by resolution is proposed in this paper to optimize dot maps, and to flexibly adjust sampling parameters of the current resolution, so as to show the details to the maximum extent and maintain the relative density characteristics of various types of property. In order to compensate the missing discrete features caused by sampling, a series of interactive tools are used to effectively improve the accuracy of visual analysis and assist the overall visual representation. Finally, the effectiveness of this approach is proved through case analysis and user research.

关键词： dot maps density estimation geographic information interactive data analysis enhance visual effectiveness

来源：评论

学校读者我要写书评

暂无评论

Attribute Signatures: Dynamic Visual Summaries for Analyzing Multivariate Geographical data

引用

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 2014年第12期20卷 2033-2042页

作者： Turkay, Cagatay Slingsby, Aidan Hauser, Helwig Wood, Jo Dykes, Jason City Univ London Dept Comp Sci London England Univ Bergen Dept Informat N-5008 Bergen Norway

The visual analysis of geographically referenced datasets with a large number of attributes is challenging due to the fact that the characteristics of the attributes are highly dependent upon the locations at which they are focussed. and the scale and time at which they are measured. Specialized interactive visual methods are required to help analysts in understanding the characteristics of the attributes when these multiple aspects are considered concurrently. Here, we develop attribute signatures interactively crafted graphics that show the geographic variability of statistics of attributes through which the extent of dependency between the attributes and geography can be visually explored. We compute a number of statistical measures, which can also account for variations in time and scale, and use them as a basis for our visualizations. We then employ different graphical configurations to show and compare both continuous and discrete variation of location and scale. Our methods allow variation in multiple statistical summaries of multiple attributes to be considered concurrently and geographically, as evidenced by examples in which the census geography of London and the wider UK are explored.

关键词： Visual analytics multi-variate data geographic information geovisualization interactive data analysis

来源：评论

学校读者我要写书评

暂无评论

Exploratory analysis of benchmark experiments an interactive approach

引用

COMPUTATIONAL STATISTICS 2011年第4期26卷 699-710页

作者： Eugster, Manuel J. A. Leisch, Friedrich Univ Munich Dept Stat D-80539 Munich Germany

Visualization can help a lot to understand the huge amounts of data created in computer simulations and benchmark experiments. In Eugster et al. (Technical report 30, Institut fur Statistik, Ludwig-Maximilians-Universitat Munchen, Germany 2008) we presented a comprehensive toolbox for exploration and inference on benchmark data, including the bench plot. This plot visualizes the behavior of the algorithms on the individual drawn learning and test samples according to a specific performance measure. In this paper we show that an interactive version of the bench plot can help to uncover details and relations unseen with the static version.

关键词： Benchmark experiment Visualization interactive data analysis

来源：评论

学校读者我要写书评

暂无评论

Generating Automated News to Explain the Meaning of Sensor data

Generating Automated News to Explain the Meaning of Sensor D...

引用

10th International Symposium on Intelligent data analysis

作者： Molina, Martin Stent, Amanda Parodi, Enrique Tech Univ Madrid Dept Artificial Intelligence Madrid Spain AT&T Labs Res Florham Pk NJ USA

ISBN: (纸本)9783642247996

An important competence of human data analysts is to interpret and explain the meaning of the results of data analysis to end-users. However, existing automatic solutions for intelligent data analysis provide limited help to interpret and communicate information to non-expert users. In this paper we present a general approach to generating explanatory descriptions about the meaning of quantitative sensor data. We propose a type of web application: a virtual newspaper with automatically generated news stories that describe the meaning of sensor data. This solution integrates a variety of techniques from intelligent data analysis into a web-based multimedia presentation system. We validated our approach in a real world problem and demonstrate its generality using data sets from several domains. Our experience shows that this solution can facilitate the use of sensor data by general users and, therefore, can increase the utility of sensor network infrastructures.

关键词： interactive data analysis intelligent multimedia presentation system virtual newspaper data-to-text system

来源：评论

学校读者我要写书评

暂无评论

Metadata Mapper: A web service for mapping data between independent visual analysis components, guided by perceptual rules

Metadata Mapper: A web service for mapping data between inde...

引用

Conference on Human Vision and Electronic Imaging XVI

作者： Rogowitz, Bernice E. Matasci, Naim Univ Texas Austin Austin TX 78712 USA Univ Arizona Tucson AZ 85721 USA

ISBN: (纸本)9780819484024

The explosion of online scientific data from experiments, simulations, and observations has given rise to an avalanche of algorithmic, visualization and imaging methods. There has also been enormous growth in the introduction of tools that provide interactive interfaces for exploring these data dynamically. Most systems, however, do not support the real-time exploration of patterns and relationships across tools and do not provide guidance on which colors, colormaps or visual metaphors will be most effective. In this paper, we introduce a general architecture for sharing metadata between applications and a "Metadata Mapper" component that allows the analyst to decide how metadata from one component should be represented in another, guided by perceptual rules. This system is designed to support "brushing [1]," in which highlighting a region of interest in one application automatically highlights corresponding values in another, allowing the scientist to develop insights from multiple sources. Our work builds on the component-based iPlant Cyberinfrastructure [2] and provides a general approach to supporting interactive, exploration across independent visualization and visual analysis components.

关键词： Visualization interactive data analysis Component architectures Biology Bioinformatics Perception Rule-based systems Metadata Visual representation

来源：评论

学校读者我要写书评

暂无评论

interactive analysis OF MULTIDIMENSIONAL data ON THE WEB BY USING TIME-TUNNEL

INTERACTIVE ANALYSIS OF MULTIDIMENSIONAL DATA ON THE WEB BY ...

引用

5th International Conference on Web Information Systems and Technologies

作者： Okajima, Seiji Okada, Yoshihiro Kyushu Univ Grad Sch Informat Sci & Elect Engn Nishi Ku Fukuoka 8190395 Japan

ISBN: (纸本)9789898111814

In recent years, the Internet has become popular in various application fields so that a huge number of data records are generated and stored on the web. In this situation, we need any tool that helps us to analyze such multidimensional data for obtaining new findings from those data. In this paper, we introduce a visual and interactive analysis tool for multidimensional data called Time-tunnel. Time-tunnel visualizes any number of time series numerical data records as individual charts each of which is displayed on an individual rectangular plane called data-wing in a 3D virtual space. Through direct manipulations on a computer screen, the user easily puts more than two data-wings overlapped together to compare their charts in order to recognize the similarity or the difference among those data records. Simultaneously a radar chart among those data at any time point is displayed to recognize the similarity and the correlation among them. This time, the authors extended Time-tunnel to make it available on the web and this paper clarifies the usefulness of web-version Time-tunnel by showing practical analysis examples.

关键词： data and knowledge visualization interactive data analysis Web application

来源：评论

学校读者我要写书评

暂无评论

Visualization of randomly ordered numeric data sets using spherical self-organizing feature maps

引用

COMPUTERS & GRAPHICS-UK 2003年第6期27卷 963-976页

作者： Sangole, A Knopf, GK Univ Western Ontario Dept Mech & Mat Engn Fac Engn London ON N6A 5B9 Canada

Scientific data visualization requires a variety of mathematical techniques to transform multivariate data sets into simple graphical objects, or glyphs, that provide scientists and engineers with a clearer understanding of the underlying system behaviour. The spherical self-organizing feature map (SOFM) described in this paper exploits an unsupervised clustering algorithm to map randomly organized N-dimensional data into a lower three-dimensional (3D) space for visual pattern analysis. Each node on the spherical lattice corresponds to a cluster of input vectors that lie in close spatial proximity within the original feature space, and neighbouring nodes on the lattice represent cluster centres with a high degree of vector similarity. Simple metrics are used to extract associations between the cluster units and the input vectors assigned to them. These are then graphically displayed on the spherical SOFM as either surface elevations or colourized facets. The resulting colourized graphical objects are displayed and manipulated within 3D immersive virtual reality (IVR) environments for interactive data analysis. The ability of the proposed algorithm to transform arbitrarily arranged numeric strings into unique, reproducible shapes is illustrated using chaotic data generated by the Lozi, Henon, Rossler, and Lorenz attractor functions under varying initial conditions. Implementation of the basic data visualization technique is further demonstrated using the more common Wisconsin breast cancer data and multispectral satellite data. (C) 2003 Elsevier Ltd. All rights reserved.

关键词： interactive data analysis scientific data visualization spherical self-organizing feature map feature clustering pattern recognition data mining

来源：评论

学校读者我要写书评

暂无评论

interactive data analysis: The control project

引用

COMPUTER 1999年第8期32卷 51-+页

作者： Hellerstein, JM Chou, A Hidber, C Olston, C Raman, V Roth, T Haas, PJ Univ Calif Berkeley Div Comp Sci Dept Elect Engn & Comp Sci Berkeley CA 94720 USA Int Comp Sci Inst Berkeley CA 94704 USA IBM Corp Almaden Res Ctr Armonk NY 10504 USA Microsoft Corp Redmond WA 98052 USA

Human insight is crucial for extracting meaning out of massive data sets, yet current user interactions with databases don't allow iterative, intuitive analysis. The Control project looks at ways to give users qui... 详细信息

关键词： Continuous Output and Navigation Technology with Refinement Online project data analysis data mining database domain knowledge feedback human-computer interaction interactive data analysis intuitive techniques iterative process massive data set analysis query unknown information extraction very large databases

来源：评论

学校读者我要写书评

暂无评论

interactive data analysis in a manufacturing setting - A case study

引用

COMPUTATIONAL STATISTICS 1999年第1期14卷 147-159页

作者： James, DA AT&T Bell Labs Lucent Technol Murray Hill NJ 07974 USA

We present a case study in the application of interactive data analysis in the context of semiconductors and optical fiber manufacturing. Our approach to interactive graphics is based on well-known principles of data analysis and interactive graphics (Chambers, Cleveland, Kleiner & Tukey 1983, Cleveland 1993, Tufte 1983, Tufte 1990, Stuetzle 1987, Becker, Cleveland & Well 1988b, Becker, Eick & Wilks 1991, Young & Lubinsky 1995, Buja, Cook & Swayne 1996), and its implementation is written in the S-language for data analysis and graphics (Becker, Chambers & Wilks 1988a, Chambers & Hastie 1992). The case study also highlights the need for improved interactive software tools in S-based systems to support the type of programmable interactive graphics that we envision. These limitations have motivated us to explore some recent developments in software technology, such as S Version 4 (Chambers 1998), Java, LispStat (Tierney 1996), XploRe (Haerdle, Klinke, Turlach & Ardle 1995), CORBA (Siegel 1996), and PVM (Geist, Beguelin, Dongarra, Jiang, Mancheck & Sunderam 1994), and asses how they can be used to alleviate some of the deficiencies we see in existing tools.

关键词： interactive data analysis integrated circuits optical fiber linked plots object-based programming

来源：评论

学校读者我要写书评

暂无评论

XOP: A multiplatform graphical user interface for synchrotron radiation spectral and optics calculations.

XOP: A multiplatform graphical user interface for synchrotro...

引用

Conference on Materials, Manufacturing, and Measurement for Synchrotron Radiation Mirrors

作者： del Rio, MS Dejus, RJ European Synchrotron Radiat Facil F-38043 Grenoble France

ISBN: (纸本)0819425745

XOP (X-ray OPtics utilities) is a graphical user interface (GUI) created to execute several computer programs that calculate the basic information needed by a synchrotron beamline scientist (designer or experimentalist). Typical examples of such calculations are: insertion device (undulator or wiggler) spectral and angular distributions, mirror and multilayer reflectivities, and crystal diffraction profiles. All programs are provided to the user under a unified GUI, which greatly simplifies their execution. The XOP optics applications (especially mirror calculations) take their basic input (optical constants, compound and mixture tables) from a flexible file-oriented database, which allows the users to select data from a large number of choices and also to customize their own data sets. XOP includes many mathematical and visualization capabilities. It also permits the combination of reflectivities from several mirrors and filters, and their effect, onto a source spectrum. This feature is very useful when calculating thermal load on a series of optical elements. The XOP interface is written in the IDL (interactive data Language). An embedded version of XOP, which freely runs under most Unix platforms (KP, Sun, Dec, Linux, etc) and under Windows95 and NT, is available upon request (srio@***,dejus@***).

关键词： graphical user interface synchrotron sources simulation optics modeling interactive data analysis x-ray optics database

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：