检索结果-内蒙古大学图书馆

25th International conference Information visualisation (iv) - AI and visual Analytics and data Science

作者： Zerafa, Joshua Islam, Md Rafiqul Kabir, Muhammad Ashad Xu, Guandong Univ Technol Sydney Adv Analyt Inst AAi Sydney NSW Australia Charles Sturt Univ Sch Comp & Math Bathurst NSW Australia

ISBN: (纸本)9781665438278

The impact of road traffic incidents (e.g., road accidents, vehicle breakdowns) have become progressively worse over the years, being a major cause of many adverse issues such as serious injury, economic loss, and lifelong disabilities. Thus, it is essential to acknowledge these issues and proactively construct appropriate solutions to mitigate the impact of these issues in the future. This study outlines the history of traffic incident research and covers several solutions such as machine learning, mathematical modeling, and visualization system to traffic incident analysis. In this paper, we design a unique visualization system, ExTraVis, for incident data exploration and analysis that can be used to help traffic management controllers, aid to make decisions, and help them to understand how past incidents affected and where incidents may occur. The key features of this system are visual exploration and analysis to overcome the problems linked with road traffic incidents and to encourage future work and improvements. Additionally, we gather various custom queries for free text search feature. We find that people ask questions and our system provide 90% correct visual insights. Finally, we demonstrate the effectiveness and robustness of ExTraVis by comparing with three different incident visualization dashboards and a user study.

关键词： Traffic incidents Interactive system visualization Information system

来源：评论

学校读者我要写书评

暂无评论

An Intelligent visual Big data Analytics Framework for Supporting Interactive exploration and visualization of Big OLAP Cubes 24

An Intelligent Visual Big Data Analytics Framework for Suppo...

引用

24th International conference Information visualisation (iv)

作者： Ordonez, Carlos Chen, Zhibo Cuzzocrea, Alfredo Garcia-Garcia, Javier Univ Houston Houston TX 77004 USA Haliburton Houston TX USA LORIA Villers Les Nancy France Univ Calabria Commenda Di Rende Italy Univ Nacl Autonoma Mexico C3 Mexico City DF Mexico

ISBN: (纸本)9781728191348

visual big data analytics aims at supporting big data analytics via visual metaphors, with a plethora of applications in modern settings and scenarios. In all these domains, visual big data analytics paradigms offer several advantages, among which some noticeable ones are: (i) fast knowledge understanding from big data sets;(ii) pattern and trend discovery from big data sets;(iii) entity and model discovery from big data sets;(iv) sharing insights among organizations. Among several proposals, OLAP-based visual big data analytics methodologies and tools represents a successful case of visual big data analytics frameworks, which is entirely based on OLAP analysis. In this context, an OLAP cube is typically explored with multiple aggregations selecting different subsets of cube dimensions to analyze trends or to discover unexpected results. Unfortunately, such analytic process is generally manual and fails to statistically explain results. On the basis of these considerations, in this paper we propose an innovative OLAP-shaped visual big data analytics framework that incorporates a state-of-the-art statistical technique for supporting exploration and visualization of OLAP data cubes. An experimental evaluation with a medical data set presents statistically significant results and interactive visualizations, which link risk factors and degree of disease.

关键词： OLAP Cubes visual Big data Analytics Big data analysis Intelligent Big data Systems

来源：评论

学校读者我要写书评

暂无评论

visual Analytics and Similarity Search - Interest-based Similarity Search in Scientific data 25

Visual Analytics and Similarity Search - Interest-based Simi...

引用

25th International conference Information visualisation (iv) - AI and visual Analytics and data Science

作者： Blazevic, Midhad Sina, Lennart B. Burkhardt, Dirk Siegel, Melanie Nazemi, Kawa Darmstadt Univ Appl Sci Human Comp Interact & Visual Analyt Dept Media Darmstadt Germany Darmstadt Univ Appl Sci Dept Comp Sci Darmstadt Germany

ISBN: (纸本)9781665438278

visual Analytics enables solving complex analytical tasks by coupling interactive visualizations and machine learning approaches. Besides the analytical reasoning enabled through visual Analytics, the exploration of data plays an essential role. The exploration process can be supported through similarity-based approaches that enable finding similar data to those annotated in the context of visual exploration. We propose in this paper a process of annotation in the context of exploration that leads to labeled vectors-of-interest and enables finding similar publications based on interest vectors. The generation and labeling of the interest vectors are performed automatically by the visual Analytics system and lead to finding similar papers and categorizing the annotated papers. With this approach, we provide a categorized similarity search based on an automatically labeled interest matrix in visual Analytics.

关键词： visual Analytics Similarity Collaborative Systems Trend Analytics visual Business Analytics

来源：评论

学校读者我要写书评

暂无评论

CiteRivers: visual Analytics of Citation Patterns

引用

IEEE TRANSACTIONS ON visualIZATION AND COMPUTER GRAPHICS 2016年第1期22卷 190-199页

作者： Heimerl, Florian Han, Qi Koch, Steffen Ertl, Thomas Univ Stuttgart Inst Visualizat & Interact Syst VIS Stuttgart Germany

The exploration and analysis of scientific literature collections is an important task for effective knowledge management. Past interest in such document sets has spurred the development of numerous visualization approaches for their interactive analysis. They either focus on the textual content of publications, or on document metadata including authors and citations. Previously presented approaches for citation analysis aim primarily at the visualization of the structure of citation networks and their exploration. We extend the state-of-the-art by presenting an approach for the interactive visual analysis of the contents of scientific documents, and combine it with a new and flexible technique to analyze their citations. This technique facilitates user-steered aggregation of citations which are linked to the content of the citing publications using a highly interactive visualization approach. Through enriching the approach with additional interactive views of other important aspects of the data, we support the exploration of the dataset over time and enable users to analyze citation patterns, spot trends, and track long-term developments. We demonstrate the strengths of our approach through a use case and discuss it based on expert user feedback.

关键词： scientific literature visual document analysis visual citation analysis streamgraph clustering

来源：评论

学校读者我要写书评

暂无评论

Multidimensional visualization Techniques for Microarray data

Multidimensional Visualization Techniques for Microarray Dat...

引用

15th International conference on Information visualisation (iv)

作者： Cvek, Urska Trutschl, Marjan Kilgore, Phillip C. Stone, Randolph, II Clifford, John L. LSU Shreveport Dept Comp Sci Shreveport LA 71103 USA LSU Hlth Sci Ctr Ctr Mol & Tumor Virol Shreveport LA USA LSU Hlth Sci Ctr Dept Biochem Shreveport LA USA

ISBN: (纸本)9780769544762

analysis of high-dimensional microarray expression data is based mostly on the statistical approaches that are indispensable for the study of biological systems. To aid the analysis and exploration of such data, the process of analyzing such data is often enhanced with visual, data mining and other computational techniques. We utilize a set of tools for the visual analysis of data aimed at generating the hypotheses. We show the usability of classic and novel multi-dimensional visualization tools in life sciences. Additionally, we survey and show a few multidimensional visualization tools applied to the process of data exploration using a urothelial cell carcinoma of the bladder time course. These tools have the potential of uncovering non-trivial relationships and structures in the data.

关键词： information visualization multidimensional data self-organizing maps

来源：评论

学校读者我要写书评

暂无评论

Playing with maps - Explore, discover, learn, categorize, model, analyse, explain, present geographic and non-geographic data

Playing with maps - Explore, discover, learn, categorize, mo...

引用

10th International conference on Information visualization (iv06)

作者： Kraak, Menno-Jan ITC Dept Geoinformat Proc Enschede Netherlands

ISBN: (纸本)0769526020

Maps are especially known for their capability to provide insight in geographic patterns and trends. Maps do this well because they only present a selection of the complex reality and visualize it in an abstract way. But today they have many more roles to play. They should also be seen as flexible interface to geospatial data, since they offer interaction with the data behind the visual representation and additionally maps are instruments that encourage exploration. As such they are used to stimulate (visual) thinking about geospatial patterns, relationships, and trends. The context where maps like this operate is the world of Geovisualization which can be described as a loosely bounded domain that addresses the visual exploration, analysis, synthesis and presentation of geospatial data by integrating approaches from disciplines including cartography with those from scientific visualization, image analysis, information visualization, exploratory data analysis, visual analytics, and GIScience. Contact with all those disciplines has enriched the world of maps but have also stimulated others to use the map (metaphor) to visualize nongeographic data. The discussion will illustrated the new and exiting role maps can play to visualize geographic and non-geographic data in combination with other visual means.

关键词： Maps

来源：评论

学校读者我要写书评

暂无评论

Everyday life discoveries: Mining and visualizing activity patterns in social science diary data

Everyday life discoveries: Mining and visualizing activity p...

引用

11th International conference on Information visualization (iv 2007)

作者： Vrotsou, Katerina Ellegard, Kajsa Cooper, Matthew Linkoping Univ Norrkoping Visualizat & Interact Studio Linkoping Sweden Linkoping Univ TEMA Technol & Social Change Linkoping Sweden

ISBN: (纸本)9780769529004

The ability to identify and examine patterns of activities is a key tool for social and behavioural science. In the past this has been done by statistical or purely visual methods but automated sequential pattern analysis through sophisticated data mining and visualization tools for pattern location. and evaluation can open up new possibilities for interactive exploration of the data. This paper describes the addition of a sequential pattern identification method to the visual activity-analysis tool, visual-TimePAcTS, and its effectiveness in the process of pattern. analysis in social science diary data. The results have shown that the method correctly identifies patterns and conveys them effectively to the social scientist in a manner that allows them quick and easy understanding of the significance of the patterns.

关键词： data mining

来源：评论

学校读者我要写书评

暂无评论

visual exploration of communication in command and control 6

Visual exploration of communication in command and control

引用

6th International conference on Information visualisation

作者： Albinsson, PA Morin, M Swedish Def Res Agcy Linkoping Sweden

ISBN: (纸本)0769516564

Communication is a central activity in command and control. However, analysing communication using linear transcription of large amounts of sequential data is tedious and tune consuming. This paper describes an alternative approach to communication analysis based on visual exploration of abstract representations of communication. It introduces a visualisation technique based on the Attribute Explorer. The technique was implemented in a visualisation component embedded in a framework for coordinated presentation of temporal data. It is demonstrated using authentic communication data from a military exercise and a rescue operation.

关键词： Command and control systems data visualization Fires Graphical user interfaces Humans Information science Military communication Navigation Speech analysis Streaming media

来源：评论

学校读者我要写书评

暂无评论

visual analysis of Spinels with General Line Coordinates 28

Visual Analysis of Spinels with General Line Coordinates

引用

28th International conference on Information visualisation (iv)

作者： Luque, Leandro Lujan Ganuza, Maria Bjerg, Ernesto Kovalerchuk, Boris UNS Inst Comp Sci & Engn Dept Comp Sci & Engn CONICET Bahia Blanca Argentina UNS INGEOSUR CONICET Dept Geol Bahia Blanca Argentina Cent Washington Univ Dept Comp Sci Ellensburg WA USA

ISBN: (纸本)9798350380170;9798350380163

In the geological context, the analysis of multidimensional data is a very common task and requires visualization techniques for exploration. General Line Coordinates (GLC) is a technique especially intended for lossless representation among the various techniques available for the visualization of multidimensional data. In this study, the application of GLC for pattern analysis and identification in mineral datasets is investigated. Furthermore, we develop a web-based tool to explore the possibility of employing GLC to leverage these approaches to derive visual discovery rules for pattern recognition.

关键词： General Line Coordinates Multidimensional data Geochemical data

来源：评论

学校读者我要写书评

暂无评论

Interactive visual exploration of a large spatio-temporal dataset: Reflections on a geovisualization mashup

引用

IEEE TRANSACTIONS ON visualIZATION AND COMPUTER GRAPHICS 2007年第6期13卷 1176-1183页

作者： Wood, Jo Dykes, Jason Slingsby, Aidan Clarke, Keith City Univ London Dept Informat Sci London England Univ Calif Santa Barbara Dept Geog Santa Barbara CA 93106 USA

Exploratory visual analysis is useful for the preliminary investigation of large structured, multifaceted spatio-temporal datasets. This process requires the selection and aggregation of records by time, space and attribute, the ability to transform data and the flexibility to apply appropriate visual encodings and interactions. We propose an approach inspired by geographical 'mashups' in which freely-available functionality and data are loosely but flexibly combined using de facto exchange standards. Our case study combines MySQL, PHP and the LandSerf GIS to allow Google Earth to be used for visual synthesis and interaction with encodings described in KML. This approach is applied to the exploration of a log of 1.42 million requests made of a mobile directory service. Novel combinations of interaction and visual encoding are developed including spatial 'tag clouds', 'tag maps', 'data dials' and multi-scale density surfaces. Four aspects of the approach are informally evaluated: the visual encodings employed, their success in the visual exploration of the clataset, the specific tools used and the 'rnashup' approach. Preliminary findings will be beneficial to others considering using mashups for visualization. The specific techniques developed may be more widely applied to offer insights into the structure of multifarious spatio-temporal data of the type explored here.

关键词： large dataset visualization text and document visualization multiresolution visualization geographic visualization applications of infovis

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：