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International Conference on Information Visualisation (IV)

作者： Adrian Rusu Doru Stoica Edward Burns Benjamin Hample Kevin McGarry Robert Russell Department of Computer Science Rowan University USA Department of Physical Education University of Craiova Romania

the analysis of large sums of soccer statistics can be extremely difficult if the data is not presented graphically. As a result, we developed an application, titled Soccer Scoop, which provides two separate visualizations that can aid a soccer team manager. With our application, a team manager can compare two players on different teams, analyze a particular player before signing them to a contract, measure the performance of a particular player at different positions, generate practice exercises, and determine if a particular player plays better on the road or at home. the visualizations used in our application apply information visualization techniques, such as glyphs, modified star plots, details on demand, color, and gestalt principles.

关键词： data visualization Games Torso Image color analysis visualization Foot Leg

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the Network Lens: Interactive Exploration of Multivariate Networks Using Visual Filtering

The Network Lens: Interactive Exploration of Multivariate Ne...

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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

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A 3D visualization Technique for large Scale Time-Varying data

A 3D Visualization Technique for Large Scale Time-Varying Da...

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International Conference on Information Visualisation (IV)

作者： Maiko Imoto Takayuki Itoh Ochanomizu University Japan

We represent time-varying data as polyline charts very often. At the same time, we often need to observe hundreds or even thousands of time-varying values in one chart. However, it is often difficult to understand such large-scale time-varying if all the values are drawn in a single polyline chart. this paper presents a polyline-based 3D time-varying data visualization technique. the technique places a set of polylines in the 3D space, where the X-axis denotes time, the Y-axis denotes values, and the polylines are arranged along the Z-axis. It provides two views: the first viewpoint has a view direction along Y-axis, and the second viewpoint has a view direction along Z-axis. the technique displays the overview of the data from the first viewpoint, and the detail of the specific parts of the data from the second viewpoint. It also detects frequent or outlier patterns by applying SAX (Symbolic Aggregate approXimation), and indicates them so that users can discover such characteristic patterns. this paper shows several interesting visualization examples to demonstrate the effectiveness of the presented technique.

关键词： data visualization data mining three dimensional displays Image color analysis Ocean temperature Temperature sensors Temperature distribution

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Event-Based analysis of People's Activities and Behavior Using Flickr and Panoramio Geotagged Photo Collections

Event-Based Analysis of People's Activities and Behavior Usi...

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International Conference on Information Visualisation (IV)

作者： Slava Kisilevich Milos Krstajic Daniel Keim Natalia Andrienko Gennady Andrienko University of Konstanz Germany Fraunhofer Institute IAIS Germany

Photo-sharing websites such as Flickr and Panoramio contain millions of geotagged images contributed by people from all over the world. Characteristics of these data pose new challenges in the domain of spatio-temporal analysis. In this paper, we define several different tasks related to analysis of attractive places, points of interest and comparison of behavioral patterns of different user communities on geotagged photo data. We perform analysis and comparison of temporal events, rankings of sightseeing places in a city, and study mobility of people using geotagged photos. We take a systematic approach to accomplish these tasks by applying scalable computational techniques, using statistical and data mining algorithms, combined with interactive geo-visualization. We provide exploratory visual analysis environment, which allows the analyst to detect spatial and temporal patterns and extract additional knowledge from large geotagged photo collections. We demonstrate our approach by applying the methods to several regions in the world.

关键词： Cities and towns visualization Trajectory Algorithm design and analysis Image color analysis Clustering algorithms data mining

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Use of time domain gating in spherical near-field measurements

Use of time domain gating in spherical near-field measuremen...

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International symposium on Antenna Technology and Applied Electromagnetics and the Canadian Radio Science Meeting, ANTEM/URSI

作者： Jeffrey Fordham MI Technologies Suwanee GA USA

Time domain gating has been widely used in antenna measurements for many years. the technique has proven useful in gating out extraneous signals from the range that can be uniquely separated from the primary desired signal. the well known process involves collecting data in the frequency domain and then transforming the data to the time domain for processing. In far-field antenna measurements the technique is limited in its applicability by factors such as antenna bandwidth and pattern shape vs. frequency, and internal time delays within the device under test. Spherical near-field presents additional challenges to the effective use of time domain gating. these challenges of performing time domain gating in spherical near-field measurements are presented along with measured results from a small spherical near-field range. these results show the significant reduction in stray signals and the resulting increase in accuracy that can be achieved via time domain gating. Finally, the paper concludes with measurements made on a large spherical near-field arch over a ground plane system. Additional challenges of such a system will be highlighted.

关键词： Antenna measurements Time domain analysis Time measurement Logic gates Probes Antennas Frequency domain analysis

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Invited talk interactive visual analysis with different levels of complexity

Invited talk interactive visual analysis with different leve...

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14th International Conference on Vision, Modeling, and visualization, VMV 2009

作者： Hauser, Helwig Visualization Group University of Bergen Norway

ISBN: (纸本)9783980487481

Interactive visual data exploration and analysis is a powerful methodology for enabling insight into complex and also large data. the iterative process of visualization and interaction (and back to visualization, aso.) can be seen as a visual dialog between the user and the data. thereby, powerful data analysis schemes are enabled such as a step-by-step information drill-down, steered by the users perception, cognition, and knowledge. In this talk, we look at different levels of this methodology (in the sense of levels of complexity), starting at the first level of show & brush, continuing then via relational analysis to a third level that we call complex analysis. the hypothesis is stated that it indeed is useful to have these different levels of complexity for interactive visual data analysis: a large share of all addressed problems can be satisfyingly solved with the simple level of show & brush, while the more complex levels of this methodology are only paying off in special cases. Along with a characterization of these levels, we also take a look at a number of illustrative examples.

关键词： visualization

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analysis of community-contributed space- and time-referenced data by example of panoramio photos

Analysis of community-contributed space- and time-referenced...

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14th International Conference on Vision, Modeling, and visualization, VMV 2009

作者： Andrienko, Gennady Andrienko, Natalia Bak, Peter Kisilevich, Slava Keim, Daniel University of Bonn and Fraunhofer Institute IAIS Schloss Birlinghoven D-53757-Sankt Augustin Germany University of Konstanz D-78457-Konstanz Germany

ISBN: (纸本)9783980487481

Space- and time-referenced data published on the Web by general people can be viewed in a dual way: as independent spatio-temporal events and as trajectories of people in the geographical space. these two views suppose different approaches to the analysis, which can yield different kinds of valuable knowledge about places and about people. We present several analysis methods corresponding to these two views. the methods are suited to the large amounts of the data.

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A system for interactive visual analysis of large graphs using motifs in graph editing and aggregation

A system for interactive visual analysis of large graphs usi...

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14th International Conference on Vision, Modeling, and visualization, VMV 2009

作者： von Landesberger, Tatiana Görner, Melanie Rehner, Robert Schreck, Tobias Fraunhofer-Institut für Graphische Datenverarbeitung Germany Technische Universität Darmstadt Germany

ISBN: (纸本)9783980487481

Network analysis is an important task in a wide variety of application domains including analysis of social, financial, or transportation networks, to name a few. the appropriate visualization of graphs may reveal useful insight into relationships between network entities and subnetworks. However, often further algorithmic analysis of network structures is needed. In this paper, we propose a system for effective visual analysis of graphs which supports multiple analytic tasks. Our system enhances any graph layout algorithm by an analysis stage which detects predefined or arbitrarily specified subgraph structures (motifs). these motifs in turn are used to filter or aggregate the given network, which is particularly useful for search and analysis of interesting structures in large graphs. Our approach is fully interactive and can be iteratively refined, supporting analysis of graph structures at multiple levels of abstraction. Furthermore, our system supports the analysis of dataor userdriven graph dynamics by showing the implications of graph changes on the identified subgraph structures. the interactive facilities may be flexibly combined for gaining deep insight into the network structures for a wide range of analysis tasks. While we focus on directed, weighted graphs, the proposed tools can be easily extended to undirected and unweighted graphs. the usefulness of our approach is demonstrated by application on a phone call data set [18].

关键词： Directed graphs

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A Compiler and Runtime System for Enabling data Mining Applications on GPUs

A Compiler and Runtime System for Enabling Data Mining Appli...

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14th ACM SIGPLAN symposium on Principles and Practice of Parallel Programming

作者： Ma, Wenjing Agrawal, Gagan Ohio State Univ Dept Comp Sci & Engn Columbus OH 43210 USA

ISBN: (纸本)9781605583976

With increasing need for accelerating data mining and scientific data analysis on large data sets, and less chance to improve processor performance by simply increasing clock frequencies, multicore architectures and accelerators like FPGAs and GPUs have become popular. A recent development in using GPU for general computing has been the release of CUDA (Compute Unified Device Architecture) by NVIDIA. CUDA allows GPU programming with C language-like features, thus easing the development of non-graphics applications on a GPU. However, several challenges still remain in programming the GPUs with CUDA, because CUDA involves explicit parallel programming and management of its complex memory hierarchy, as well as allocating device memory, moving data between CPU and device memory, and specification of thread grid configurations. In this paper, we offer a solution for the programmers to generate CUDA code by specifying the sequential reduction loop(s) with some information about the parameters. With program analysis and code generation, the applications are mapped to a GPU. Several additional optimizations are also performed by the middleware. We have evaluated our system using three popular data mining applications, k-means clustering, EM clustering, and Principal Component analysis (PCA). the speedup that each of these applications achieve over a sequential CPU version ranges between 20 and 50.

关键词： Design GPGPU CUDA data Mining

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Glatiramer acetate treatment in PPMS: Why males appear to respond favorably

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JOURNAL OF thE NEUROLOGICAL SCIENCES 2009年第1-2期286卷 92-98页

作者： Wolinsky, Jerry S. Shochat, Tzippy Weiss, Sivan Ladkani, David Univ Texas Hlth Sci Ctr Houston Houston TX 77030 USA TEVA Pharmaceut Ind LTD Global Innovat R&D Div Kiryat Nordau Netanya Israel Teva Pharmaceut Ind LTD Global Innovat Prod Petah Tiqwa Israel

in a large multicenter randomized, and double blind placebo controlled trial of glatiramer acetate (GA) in primary progressive multiple sclerosis (PPMS), an originally unplanned post hoc analysis suggested that males assigned to GA therapy experienced less progression of disability than their counterparts assigned to placebo: no similar potential treatment differences were seen among the females in this study. In this report we further explore the data from that trial in an attempt to determine if this outcome could have been the expression of a gender dependant treatment effect. the analyses conducted do not support a treatment by gender interaction for GA in either PPMS or relapsing forms of MS. Nor could we find consistent precedence in the literature for important effects of gender on outcome, recognizing that such effects have not always been carefully sought. It remains reasonable to consider that there exist differences in the rates of clinical disease progression between men and women with MS that should be better studied. (C) 2009 Elsevier B.V. All rights reserved.

关键词： Multiple sclerosis Gender MRI Clinical trials Glatiramer acetate Meta-analysis

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