检索结果-内蒙古大学图书馆

International conference on Information visualisation (IV)

作者： Ilir Jusufi Yang Dingjie Andreas Kerren School of Computer Science Physics and Mathematics (DFM) Linnaeus University Vaxjo Sweden

Networks are widely used in modeling relational data often comprised of thousands of nodes and edges. This kind of data alone implies a challenge for its visualization as it is hard to avoid clutter of network elements if using traditional node-link diagrams. Moreover, real-life network data sets usually represent objects with a large number of additional attributes that need to be visualized, such as in software engineering, social network analysis, or biochemistry. In this paper, we present a novel approach, called Network Lens, to visualize such attributes in context of the underlying network. Our implementation of the Network Lens is an interactive tool that extends the idea of so-called magic lenses in such a way that users can interactively build and combine various lenses by specifying different attributes and selecting suitable visual representations.

关键词： Lenses data visualization visualization Image color analysis Layout Context Prototypes

来源：评论

学校读者我要写书评

暂无评论

Entering 'A NEW REALM' of KIBO Payload Operations - Continuous efforts for microgravity experiment environment and lessons learned from real time experiment operations in KIBO -

引用

Journal of Physics: conference Series 2011年第1期327卷

作者： K Sakagami M Goto S Matsumoto H Ohkuma Utilization Engineering Department Japan Manned Space Systems Corporation 2-1-1 Sengen Tsukuba-shi Ibaraki Japan To whom any correspondence should be addressed Japanese Experiment Module (JEM) Mission Operations and Integration Center Japan Aerospace Exploration Agency 2-1-1 Sengen Tsukuba-shi Ibaraki Japan Institute of Space and Astronautical Science Japan Aerospace Exploration Agency 2-1-1 Sengen Tsukuba-shi Ibaraki Japan Space Station Engineering Department Advanced Engineering Services Co. Ltd. 2-1-1 Sengen Tsukuba-shi Ibaraki Japan

On January 22nd, 2011(JST), KOUNOTORI2 (H-ii Transfer Vehicle: HTV2) was successfully launched from Tanegashima Space Center toward the International Space Station (ISS) and two new JAXA payload racks, Kobairo rack and MSPR (Multi-purpose Small Payload Rack) were transferred to ISS/KIBO (Japanese Experiment Module: JEM). In addition to Saibo rack and Ryutai rack which are already in operation in KIBO, in total 4 Japanese experiment payload racks start operations in KIBO. Then KIBO payload operations embark on a new realm, full utilization phase. While the number and variety of microgravity experiments become increasing, simultaneous operation constraints should be considered to achieve multitask payload operations in ISS/KIBO and ever more complicated cooperative operations between crewmember and flight control team/science team are required. Especially for g-jitter improvement in ISS/KIBO, we have greatly advanced cooperative operations with crewmember in the recent increment based on the microgravity data analysis results. In this paper, newly operating Japanese experiment payloads characteristics and some methods to improve g-jitter environment are introduced from the front line of KIBO payload operations.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Interactive exploration of Hierarchical Density Clusters in Gene Expression data

Interactive Exploration of Hierarchical Density Clusters in ...

引用

International conference on Knowledge and Systems Engineering (KSE)

作者： Tran Van Long Lars Linsen Jacobs University Bremen Bremen Germany

Clustering gene expression data is an important task in bioinformatics research and biomedical applications. In this paper, we present an effective clustering algorithm for gene expression data. The clustering algorithm is based on the analysis of data's density distribution. We propose an intersecting partition of gene expression data into the supports of data points. Density clusters are maximally connected regions at certain density levels, and thus, can be organized in a hierarchical structure. For interactive visual exploration, we use a 2D radial layout of the hierarchical density cluster tree with linked as well as embedded views of parallel coordinates and heat maps. Our system supports the understanding of the distribution of density clusters and the patterns of the density clusters. Experimental results for common gene expression data sets shows the effectiveness and scalability of the algorithm.

关键词： Gene expression Clustering algorithms Layout Partitioning algorithms Density functional theory Kernel Heating

来源：评论

学校读者我要写书评

暂无评论

Interactive visual analysis of Hierarchical Enterprise data

Interactive Visual Analysis of Hierarchical Enterprise Data

引用

IEEE International conference on E-Commerce Technology Workshops

作者： Yu-Hsuan Chan Kimberly Keeton Kwan-Liu Ma University of California Davis USA Hewlett Packard Laboratories USA

In this paper, we present an interactive visual technique for analysing and understanding hierarchical data, which we have applied to analysing a corpus of technical reports produced by a corporate research laboratory. The analysis begins by selecting a known entity, such as a topic, a report, or a person, and then incrementally adds other entities to the graph based on known relations. As this bottom-up knowledge building process proceeds, meaningful graph structure may appear and reveal previously unknown relations. The ontology of the data, which represents the types of entities in the data and all possible relations among them, is displayed as a guide to the analyst in the process. The analyst may interact with the ontology graph or the data graph directly. In addition, we provide a set of filtering, searching, and abstraction methods for the analyst to manage the complexity of the graph. In contrast to a top-down approach, which usually starts with an overview of the whole data set for exploration, a bottom-up approach is generally more efficient, because it often only touches a very small fraction of the data. We present several case studies to demonstrate the efficacy of this interactive graph-based analysis technique for both intra- and inter-hierarchy analysis.

关键词： visualization Writing Ontologies Layout Social network services data visualization Electronic mail

来源：评论

学校读者我要写书评

暂无评论

visual Analytics Law Enforcement Toolkit

Visual Analytics Law Enforcement Toolkit

引用

IEEE conference on Technologies for Homeland Security

作者： Abish Malik Ross Maciejewski Timothy F. Collins David S. Ebert Visualization and Analytics Center Purdue University West Lafayette IN USA

We present VALET, a visual Analytics Law Enforcement Toolkit for analyzing spatiotemporal law enforcement data. VALET provides users with a suite of analytical tools coupled with an interactive visual interface for data exploration and analysis. This system includes linked views and interactive displays that spatiotemporally model criminal, traffic and civil (CTC) incidents and allows officials to observe patterns and quickly identify regions with higher probabilities of activity. Our toolkit provides analysts with the ability to visualize different types of data sets (census data, daily weather reports, zoning tracts, prominent calendar dates, etc.) that provide an insight into correlations among CTC incidents and spatial demographics. In the spatial domain, we have implemented a kernel density estimation mapping technique that creates a color map of spatially distributed CTC events that allows analysts to quickly find and identify areas with unusually large activity levels. In the temporal domain, reports can be aggregated by day, week, month or year, allowing the analysts to visualize the CTC activities spatially over a period of time. Furthermore, we have incorporated temporal prediction algorithms to forecast future CTC incident levels within a 95% confidence interval. Such predictions aid law enforcement officials in understanding how hotspots may grow in the future in order to judiciously allocate resources and take preventive measures. Our system has been developed using actual law enforcement data and is currently being evaluated and refined by a consortium of law enforcement agencies.

关键词： Time series analysis Calendars Law enforcement data visualization Kernel visual analytics Correlation

来源：评论

学校读者我要写书评

暂无评论

Provenance-Enabled data exploration and visualization with VisTrails

Provenance-Enabled Data Exploration and Visualization with V...

引用

Tutorials of the Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI TUTORIALS)

作者： Cl´udio Silva Juliana Freire Emanuele Santos Erik Anderson Scientific Computing and Imaging Institute & School of Computing University of Utah Salt Lake USA

Scientists are now faced with an incredible volume of data to analyze. To explore and understand the data, they need to assemble complex workflows (pipelines) to manipulate the data and create insightful visual representations. Provenance is essential in this process. The provenance of a digital artifact contains information about the process and data used to derive the artifact. This information is essential to preserve the data, to determining the data's quality and authorship, aswell as for reproducing and validating results -- all important elements of the scientific process. In this survey, we aim to inform computational and visualization scientists, users and developers about different approaches to provenance management. Using the VisTrails system as a basis and real application scenarios, we will cover different approaches to acquiring and reusing provenance, including techniques that attendees can use to provenance-enable their own tools. We will also present a series operations and user interfaces that leverage provenance for tasks that go beyond reproducibility, such as aiding users in the process of pipeline design and refinement, in performing comparative analysis and visualization, supporting collaborative data exploration as well as the publication of documented, reproducible results.

关键词： data visualization visualization Sea measurements Image color analysis Pipelines Collaboration Rendering (computer graphics)

来源：评论

学校读者我要写书评

暂无评论

Research on raster-based modeling technology of three-dimensional mine area

Research on raster-based modeling technology of three-dimens...

引用

International conference on Information Science and Engineering (ICISE)

作者： Bo Wang Suozhong Chen Key Laboratory of Visual Geographic Environment (Ministry of China) Department of Geography Science Nanjing Normal University 1 Wenyuan Road Qixia District 210046 China

Based on the analysis of mining prospecting and mining data, mine area three-dimensional model includes ground-based model, the exploration line profile model, the scope of mining model, mine body model, mining roadway model, reserve calculation block model and goaf model. This paper presents a kind of mine area modeling technique based on scanned raster images. This technology can collect data and establish three-dimensional model of the mining area rapidly based on “old data”, to realize three-dimensional visualization of the mining area and the dynamic management.

关键词： data models Solid modeling Analytical models data mining Computational modeling Geology Geographic Information Systems

来源：评论

学校读者我要写书评

暂无评论

Geovisualisation of SAPO Search Activity

GeoVisualisation of SAPO Search Activity

引用

International conference on Information visualisation (IV)

作者： Ana Veloso Rui Raposo João Costa Óscar Mealha Department of Communication and Art University of Aveiro Aveiro Portugal

The objective of this paper is to report on the research inherent to the conceptualisation and prototyping of an Information visualisation system centred on the task of conveying meaning to user interaction data collected by the SAPO Broker web service. SAPO Broker, a real-time monitoring application that collects data regarding activity within the SAPO Web Portal, collects a large set of data with the main purpose of assisting visualisation and analysis of tasks linked to georeferenced web searches performed on the portal. The research and its results where guided according to two major challenges: i) design an appropriate visual metaphor capable of appropriately integrating the collected data for a specific target audience, technology set and context of use; ii) design intuitive and relevant interaction tools able to assist this particular data analysis.

关键词： visualization data visualization Image color analysis Portals Context Editorials Cities and towns

来源：评论

学校读者我要写书评

暂无评论

visualising Virtual Learning Environments: Case Studies of the Website exploration Tool

Visualising Virtual Learning Environments: Case Studies of t...

引用

International conference on Information visualisation (IV)

作者： V. Pascual-Cid L. Vigentini M. Quixal Innovation Centre Universidad Pompeu Fabra and Barcelona Media Barcelona Spain University of Edinburgh Edinburgh UK Barcelona Media-Innovation Centre Barcelona Spain

In this paper we describe the long term evaluation of the Website exploration Tool (WET), an exploratory system for visualising web data, through the assessment of two Virtual Learning Environments (VLE). VLEs provide log files that can be studied with web mining techniques to understand the behaviour of the students and consequently improve the pedagogy. However, statistical metrics are not always easy to interpret for the educators, which suggests the need to develop novel approaches for the easy discovery of usage patterns. The integration of WET in the assessment process of two VLEs gave us the opportunity to conduct long-term case studies that supported the evaluation of the visual approaches used in our tool. Our main contributions are the description of the benefits of such approaches for the analysis of VLEs as well as recommended features for supporting this task, and a summary of the main findings from our case studies.

关键词： visualization Measurement data visualization Web mining Materials Education

来源：评论

学校读者我要写书评

暂无评论

Where Would You Go on Your Next Vacation? A Framework for visual exploration of Attractive Places

Where Would You Go on Your Next Vacation? A Framework for Vi...

引用

International conference on Advanced Geographic Information Systems, Applications, and Services (GEOPROCESSING)

作者： Slava Kisilevich Florian Mansmann Peter Bak Daniel Keim Alexander Tchaikin Department of Computer Sciences and Information University of Konstanz Germany Moscow Russia

ISBN: (纸本)9781424458097;9780769539515

Tourists face a great challenge when they gather information about places they want to visit. Geographically tagged information in the form of Wikipedia pages, local tourist information pages, dedicated web sites and the massive amount of information provided by Google Earth is publicly available and commonly used. But the processing of this information involves a time consuming activity. Our goal is to make search for attractive places simpler for the common user and provide researchers with methods for exploration and analysis of attractive areas. We assume that an attractive place is characterized by large amounts of photos taken by many people. This paper presents a framework in which we demonstrate a systematic approach for visualization and exploration of attractive places as a zoom able information layer. The presented technique utilizes density-based clustering of image coordinates and smart color scaling to produce an interactive visualizations using Google Earth Mash up. We show that our approach can be used as a basis for detailed analysis of attractive areas. In order to demonstrate our method, we use real-world geo-tagged photo data obtained from Flickr and Panoramio to construct interactive visualizations of virtually every region of interest in the world.

关键词： Earth data visualization Wikipedia Cities and towns Geographic Information Systems Application software Books Information filtering Information filters Real time systems

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：