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26th Annual CHI conference on Human Factors in Computing Systems

作者： Danis, Catalina M. Viegas, Fernanda B. Wattenberg, Martin Kriss, Jesse IBM Corp Thomas J Watson Res Ctr Yorktown Hts NY 10598 USA

ISBN: (纸本)9781605580111

Many Eyes is a web site that provides collaborative visualization services, allowing users to upload data sets, visualize them, and comment on each other's visualizations. This paper describes a first interview-based study of Many Eyes users, which sheds light on user motivation for creating public visualizations. Users talked about data for many reasons, from scientific research to political advocacy to hobbies. One consistent theme across these different scenarios is the use of visualizations in communication and collaborative practices. Collaboration and conversation, however, often took place outside the site, leaving no traces on Many Eyes itself. In other words, despite spurring significant social activity, Many Eyes is not so much an online community as a "community component" which users insert into pre-existing online social systems.

关键词： visualization communication distributed community social data analysis

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Intersession Variability in Speaker Recognition: A behind the Scene analysis

Intersession Variability in Speaker Recognition: A behind th...

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9th Annual conference of the International-Speech-Communication-Association (INTERSPEECH 2008)

作者： Garcia-Romero, Daniel Espy-Wilson, Carol Y. Univ Maryland Dept Elect & Comp Engn College Pk MD 20742 USA

ISBN: (纸本)9781615673780

The representation of a speaker's identity by means of Gaussian supervectors (GSV) is at the heart of most of the state-of-the-art recognition systems. In this paper we present a novel procedure for the visualization of GSV by which qualitative insight about the information being captured can be obtained. Based on this visualization approach, the Switchboard-I database (SWB-I) is used to study the relationship between a data-driven partition of the acoustic space and a knowledge based partition (i.e., broad phonetic classes). Moreover, the structure of an intersession variability subspace (IVS), computed from the SWB-I database, is analyzed by displaying the projection of a speaker's GSV into the set of eigenvectors with highest eigenvalues. This analysis reveals a strong presence of linguistic information in the IVS components with highest energy. Finally, after projecting away the information contained in the IVS from the speaker's GSV, a visualization of the resulting GSV provides information about the characteristic patterns of spectral allocation of energy of a speaker.

关键词： speaker recognition intersession variability model compensation intersession variability subspace

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Real time scalable visual analysis on mobile devices

Real time scalable visual analysis on mobile devices

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conference on Multimedia on Mobile Devices 2008

作者： Pattath, Avin Ebert, David S. May, Richard A. Collins, Timothy F. Pike, William Purdue Univ Reg Visualizat & Analyt Ctr W Lafayette IN 47907 USA Pacific Northwest Natl Lab Richland WA 99354 USA Purdue Univ W Lafayette IN 47906 USA

ISBN: (纸本)9780819469939

Interactive visual presentation of information can help an analyst gain faster and better insight from data. When combined with situational or context information, visualization on mobile devices is invaluable to in-field responders and investigators. However, several challenges are posed by the form-factor of mobile devices in developing such systems. In this paper, we classify these challenges into two broad categories - issues in general mobile computing and issues specific to visual analysis on mobile devices. Using NetworkVis and Infostar as example systems, we illustrate some of the techniques that we employed to overcome many of the identified challenges. NetworkVis is an OpenVC-based real-time network monitoring and visualization system developed for Windows Mobile devices. Infostar is a flash-based interactive, real-time visualization application intended to provide attendees access to conference information. Linked time-synchronous visualization, stylus/button-based interactivity, vector graphics, overview-context techniques, details-on-demand and statistical information display are some of the highlights of these applications.

关键词： mobile visual analytics information visualization mobile visualization real-time visualization

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G-Space: A linear time graph layout

G-Space: A linear time graph layout

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conference on visualization and data analysis 2008

作者： Wylie, Brian Baumes, Jeffrey Shead, Timothy M. Sandia Natl Labs POB 5800 Albuquerque NM 87185 USA Kitware Inc Clifton Pk NY 12065 USA

ISBN: (纸本)9780819469816

We describe G-Space, a straightforward linear time layout algorithm that draws undirected graphs based purely on their topological features. The algorithm is divided into two phases. The first phase is an embedding of the graph into a 2-D plane using the graph-theoretical distances as coordinates. These coordinates are computed with the same process used by HDE (High-Dimensional Embedding) algorithms. In our case we do a Low-Dimensional Embedding (LDE), and directly map the graph distances into a two dimensional geometric space. The second phase is the resolution of the many-to-one mappings that frequently occur within the low dimensional embedding. The resulting layout appears to have advantages over existing methods: it can be computed rapidly, and it can be used to answer topological questions quickly and intuitively.

关键词： graph layout graph drawing graph visualization graphs and networks information visualization

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JSNVA: A Java Straight-Line Drawing Framework for Network Visual analysis

JSNVA: A Java Straight-Line Drawing Framework for Network Vi...

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4th International conference on Advanced data Mining and Applications

作者： Ye, Qi Wu, Bin Wang, Bai Beijing Univ Posts & Telecommun Beijing Key Lab Intelligent Telecommun Software & Beijing 100876 Peoples R China

ISBN: (纸本)9783540881919

Although information visualization technologies are indispensable in complex data analysis, wide-spread tools still need to be developed, as successful information visualization applications often require domain-specific customization. In this paper we introduce a software framework JSNVA for network visual analysis in different applications. JSNVA has a clear architecture and supports a more systematic way of implementing different straight-line graph drawing algorithms which show different networks on different views. JSNVA can be used as a front-end for visualization and a back-end for analysis in applications, and it can be customized for different applications. To evaluate JSNVA, we will give its applications in different graph mining tasks. Through visual analyzing these networks by different interactive visualization techniques and algorithms, we can get their underlying structure intuitively and quickly.

关键词： visualization

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Exploratory mining over organisational communications data

Conferences in Research and Practice in Information Technolo...

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conferences in Research and Practice in Information Technology Series 2008年 87卷 41-50页

作者： Allwright, Alan Roddick, John F. Defence Science and Technology Organisation PO Box 1500 Edinburgh SA 5111 Australia School of Computer Science Engineering and Mathematics Flinders University PO Box 2100 Adelaide SA 5001 Australia

ISBN: (纸本)9781920682682

Exploratory data mining is fundamental to fostering an appreciation of complex datasets. For large and continuously growing datasets, such as obtained by regular sampling of an organisation's communications, the exploratory phase may never finish. This paper describes a methodology for exploratory data mining within an organisational communications dataset. A model of support for knowledge discovery is described in conjunction with a communications based concept hierarchy. This is then used as the basis for a set of visualisations. The intention of supporting visualisations in this way is to establish a sound set of requirements for the representation of communications data. The visualisations provide several interconnected representations of the data, as well as support query and drill-down into a dataset. It is suggested that this interaction with the dataset facilitates an appreciation of the data which precedes and shapes knowledge discovery. A communications analysis example is developed using the visualisations within the context of exploratory data mining. © 2008, Commonwealth of Australia.

关键词： visualization

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THE INFORMATION visualization SERVICE SYSTEM BASED ON MVC

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38th International conference on Computers and Industrial Engineering

作者： Liu, Yong Wang, Jina Wang, Suli Zhengzhou Inst Aeronaut Ind Management Dept Informat Sci Zhengzhou Peoples R China

ISBN: (纸本)9787121074370

The multi views analysis and design of information is one of the key contents of Personalization Set-vice of Document Information Technology. The programming with architecture of Model-View-Controller shows the separation of data operation and data display. This architecture not only can be used in the visible programming, but also visible component to deal with their individual business. This article discussed on the function and relationship of each part in the WC structure from two aspects-complete executable program and visual component object, explaining how did the system structure apply in information visualization analysis and design by using information multi-view design example.

关键词： Model-View-Controller Program Module MVC structure Information visualization

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Three-dimensional visualization by means of multidimensional scaling 20

Three-dimensional visualization by means of multidimensional...

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20th International conference EURO Mini conference: Continuous Optimization and Knowledge-Based Technologies, EurOPT 2008

作者： Žilinskas, Antanas Žilinskas, Julius Institute of Mathematics and Informatics Akademijos g. 4 VilniusLT- 08663 Lithuania Vilnius Pedagogical University Studentu g. 39 VilniusLT- 08106 Lithuania Institute of Psychophysiology and Rehabilitation Vyduno g. 4 PalangaLT- 00135 Lithuania

ISBN: (纸本)9789955282839

Multidimensional scaling is a technique for exploratory analysis of multidimensional data widely usable in different applications. By means of this technique the image points in a low-dimensional embedding space can be found whose interpoint distances fit the given dissimilarities between the considered objects. In this paper visualization of multidimensional data in a three-dimensional space is investigated. Three-dimensional images normally expose the structural properties of sets of considered objects better than two dimensional images. This advantage enhanced by widening of applications of stereo screens makes three-dimensional visualization very attractive. © Institute of Mathematics and Informatics, 2008.

关键词： visualization

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Exploratory 3D geovisual analytics

Exploratory 3D geovisual analytics

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RIVF 2008 - 2008 IEEE International conference on Research, Innovation and Vision for the Future in Computing and Communication Technologies

作者： Ho, Quan Jern, Mikael Department of Science and Technology University of Linkoping Norrkoping Sweden

ISBN: (纸本)9781424423798

In this paper, we extend our generic "GeoAnalytics" visualization (GAV) component toolkit, based on the principles behind Visual Analytics (VA), to also support time-oriented, geographically referenced and multivariate attribute volumetric data. GAV includes components that support a mixture of technologies from the three data visualization fields: information visualization (InfoVis), geovisualization (GeoVis) and scientific visualization (SciVis). Our research concentrates on visual user interface (VUI) techniques through dynamic and direct data manipulation that permit the visual analytical process to become more interactive and focused. This paper encourages synergies between well-known information- and volume data visualization methods applied in a multiple-linked and coordinated views interface. We address challenges for improved data interaction techniques with volumetric data and the need for immediate response. Varieties of explorative data analysis (EDA) tasks and the possibility to view the information simultaneously from different perspectives and scenarios are discussed. The effectiveness of our geovisual analytics framework is demonstrated in a tailor-made volume data explorer (VDE) application that integrates InfoVis, GeoVis and SciVis visualization methods assembled from GAV components. VDE facilitates dynamic exploration and correlation of temporal ocean space temperature and salinity data supplied in a NetCDF format from NOAA. This real-world phenomenon that corresponds to a huge volumetric data set comprises more than 31 million values for a time period of 12 months in 1994. ©2008 IEEE.

关键词： data visualization

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Interactive visualization of fused intrusion detection data

Interactive visualization of fused intrusion detection data

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3rd International conference on Information Warfare and Security

作者： Avitia, Serafin Kurkowski, Stuart van der Hoeven, Luke USAF Inst Technol Wright Patterson AFB OH 45433 USA

ISBN: (纸本)9781906638009

Today's complex networks with their large traffic volume and increased malicious activity, make intrusion detection awareness difficult. The traditional analyst-based review of stand-alone intrusion detection system (IDS) alerts is rapidly exceeding human capability. Several different areas of research focus on reducing the number of alerts. One example would be the reduction of the number of false positive alerts generated by these IDS tools. However, the number of alerts remains large. Recent research focuses on aggregating alerts for a single tool or even the fusion of data between alerts from multiple tools and system logs, all with the goal of reducing duplicates and shortening the analysis loop across different tool sets. The research in this paper targets this fused set of alerts and log entries as our basis for developing interactive visualizations. This fused data is an aggregation of several sources providing more "information" than the raw alert data. The presence of "information" allows our visualizations to provide the analyst with more context and knowledge than traditional IDS-ievel data visualizations such as parallel axis plots, etc. Providing both increased context and interaction for data exploration enables an analyst to achieve increased situational awareness quicker and easier. Linking multiple views of the information to maintain focus and context allows the analyst to see not only malicious activity, but also what assets are affected and where activities may be directed next. The traditional approach of an analyst working in isolation with a single tool's output and then passing brief reports to others to correlate are limiting activities. Synergistic visualizations of the network data aggregated from alerts and logs can lead to the elimination of an entire layer or phase of analysis operations. visualizations of the fused data allow direct analysis across tools thus improving the analysis process.

关键词： IDS visualization network situational awareness IDS analysis network defence network information visualization

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