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parallel sets: Visual analysis of categorical data

Parallel sets: Visual analysis of categorical data

引用

ieee symposium on Information visualization (InfoVis 05)

作者： Bendix, F Kosara, R Hauser, H VRVis Research Center Austria Inte:Ligand

ISBN: (纸本)078039464X

The discrete nature of categorical data makes it a particular challenge for visualization. Methods that work very well for continuous data are often hardly usable with categorical dimensions. Only few methods deal properly with such data, mostly because of the discrete nature of categorical data, which does not translate well into the continuous domains of space and color. parallel Sets is a new visualization method that adopts the layout of parallel coordinates, but substitutes the individual data points by a frequency-based representation. This abstracted view, combined with a set of carefully designed interactions, supports visual data analysis of large and complex data sets. The technique allows efficient work with meta data, which is particularly important when dealing with categorical datasets. By creating new dimensions from existing ones, for example, the user can filter the data according to his or her current needs. We also present the results from an interactive analysis of CRM data using parallel Sets. We demonstrate how the flexible layout eases the process of knowledge crystallization, especially when combined with a sophisticated interaction scheme.

关键词： categorical data meta information interaction

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An interactive 3D integration of parallel coordinates and Star Glyphs

An interactive 3D integration of parallel coordinates and St...

引用

ieee symposium on Information visualization (InfoVis 05)

作者： Fanea, E Carpendale, S Isenberg, T Univ Calgary Dept Comp Sci Calgary AB Canada

ISBN: (纸本)078039464X

parallel Coordinates are a powerful method for visualizing multidimensional data but, when applied to large data sets, they become cluttered and difficult to read. Star Glyphs, on the other hand, can be used to display either the attributes of a data item or the values across all items for a single attribute. Star Glyphs may readily provide a quick impression;however, since the full data set will require multiple glyphs, overall readings are more difficult. We present parallel Glyphs, an interactive integration of the visual representations of parallel Coordinates and Star Glyphs that utilizes the advantages of both representations to offset the disadvantages they have separately. We discuss the role of uniform and stepped colour scales in the visual comparison of non-adjacent items and Star Glyphs. parallel Glyphs provide capabilities for focus-in-context exploration using two types of lenses and interactions specific to the 3D space.

关键词： parallel Glyphs parallel coordinates Star Glyphs multi-dimensional data sets 3D visualization

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Importance-driven visualization layouts for large time series data

Importance-driven visualization layouts for large time serie...

引用

ieee symposium on Information visualization (InfoVis 05)

作者： Hao, MC Dayal, U Keim, DA Schreck, T Hewlett Packard Labs Palo Alto CA 94304 USA

ISBN: (纸本)078039464X

Time series are an important type of data with applications in virtually every aspect of the real world. Often a large number of time series have to be monitored and analyzed in parallel. Sets of time series may show intrinsic hierarchical relationships and varying degrees of importance among the individual time series. Effective techniques for visually analyzing large sets of time series should encode the relative importance and hierarchical ordering of the time series data by size and position, and should also provide a high degree of regularity ill order to support comparability by the analyst. In this paper, we present a framework for visualizing large sets of time series. Based on the notion of inter time series importance relationships, we define a set of objective functions that space-filling layout schemes for time series data should obey. We develop an efficient algorithm addressing the identified problems by generating layouts that reflect hierarchy- and importance-based relationships in a regular layout with favorable aspect ratios. We apply our technique to a number of real-world data sets including sales and stock data, and we compare our technique with an aspect ratio aware variant of the well-known TreeMap algorithm. The examples show the advantages and practical usefulness of our layout algorithm.

关键词： information visualization time series space-filling layout generation

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Revealing structure within clustered parallel coordinates displays

Revealing structure within clustered parallel coordinates di...

引用

ieee symposium on Information visualization (InfoVis 05)

作者： Johansson, J Ljung, P Jern, M Cooper, M Linkoping Univ NVIS S-58183 Linkoping Sweden

ISBN: (纸本)078039464X

In order to gain insight into multivariate data, complex structures must be analysed and understood. parallel coordinates is an excellent tool for visualizing this type of data but has its limitations. This paper deals with one of its main limitations - how to visualize a large number of data items without hiding the inherent structure they constitute. We solve this problem by constructing clusters and using high-precision textures to represent them. We also use transfer functions that operate on the high-precision textures in order to highlight different aspects of the cluster characteristics. Providing pre-defined transfer functions as well as the support to draw customized transfer functions makes it possible to extract different aspects of the data. We also show how feature animation can be used as guidance when simultaneously analysing several clusters. This technique makes it possible to visually represent statistical information about clusters and thus guides the user, making the analysis process more efficient.

关键词： parallel coordinates clustering transfer function feature animation

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7th Joint Eurographics - ieee VGTC symposium on visualization, VisSym 2005

7th Joint Eurographics - IEEE VGTC Symposium on Visualizatio...

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7th Joint Eurographics - ieee VGTC symposium on visualization, VisSym 2005

ISBN: (纸本)3905673193

The proceedings contain 38 papers. The topics discussed include: dynamically modelling interaction;real-time advection and volumetric illumination for the visualization of 3D unsteady flow;dense geometric flow visualization;vector field analysis and visualization through variational clustering;scalable, robust visualization of very large trees;the i-Disc - a tool to visualize and explore topic maps;ArcTrees: visualizing relations in hierarchical data;tiled parallel coordinates for the visualization of time-varying multichannel EEG data;illustrative context-preserving volume rendering;high quality rendering of compressed volume data formats;and BioBrowser: a framework for fast protein visualization.

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Design issues of a novel toolkit for parallel application performance monitoring and analysis in cluster and grid environments

Design issues of a novel toolkit for parallel application pe...

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8th International symposium on parallel Architectures, Algorithms and Networks, I-SPAN 2005

作者： Li, Kuan-Ching Wang, Hsiao-Hsi Chen, Chiou-Nan Liu, Chun-Chieh Chang, Chia-Fu Hsu, Chia-Wen Hung, Sheng-Shiang Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Shalu Taichung 43301 Taiwan Laboratory of Bioinformatics and Computational Biology Department of Computer Science National Tsing Hua University Hsinchu 30013 Taiwan

ISBN: (纸本)0769525091

The low-cost and availability of network of workstations have made them attractive solution for high performance computing. Striking progress of network technology is enabling high-performance global computing, with the utilization of cluster and grid technologies, in which computational and data resources in a local or wide area network are transparently employed to solve large-scale problems. In this paper, we present implementation and design rationale of Visuel* toolkit for performance measurement and analysis of parallel applications in cluster and grid environments. Most of performance visualization tools available today for high-performance platforms show solely system performance data (e.g., CPU load, memory usage, network bandwidth, server average load), and thus, being suitable for visualization of computing platform system activities. The Visuel toolkit is web-based interface designed to show performance, activities of all computing nodes of a cluster or grid computing platform involved in the execution of a parallel application, such as CPU load level and memory usage of each computing node. In addition, this toolkit is able to display comparative performance data visualizations generated from a number of executions of an application under investigation, analyzing the performance of different implementations. Evaluations using this toolkit show that it outperforms in easing the process of investigation and implementation of parallel applications, in effective way. © 2005 ieee.

关键词： Computer workstations

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An interactive 3D integration of parallel coordinates and star glyphs

An interactive 3D integration of parallel coordinates and st...

引用

ieee symposium on Information visualization (INFOVIS)

作者： E. Fanea S. Carpendale T. Isenberg Canada Department of Computer Science University of Calgary Canada

parallel coordinates are a powerful method for visualizing multidimensional data but, when applied to large data sets, they become cluttered and difficult to read. Star glyphs, on the other hand, can be used to display either the attributes of a data item or the values across all items for a single attribute. Star glyphs may readily provide a quick impression; however, since the full data set require multiple glyphs, overall readings are more difficult. We present parallel glyphs, an interactive integration of the visual representations of parallel coordinates and star glyphs that utilizes the advantages of both representations to offset the disadvantages they have separately. We discuss the role of uniform and stepped colour scales in the visual comparison of non-adjacent items and star glyphs. parallel glyphs provide capabilities for focus-in-context exploration using two types of lenses and interactions specific to the 3D space.

关键词： data visualization Multidimensional systems Computer displays Computer science Lenses Chromium Computer graphics User interfaces Three dimensional displays data analysis

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parallel sets: visual analysis of categorical data

Parallel sets: visual analysis of categorical data

引用

ieee symposium on Information visualization (INFOVIS)

作者： F. Bendix R. Kosara H. Hauser VRVis Research Center Inte:Ligand VRVis Research Center Austria

The discrete nature of categorical data makes it a particular challenge for visualization. Methods that work very well for continuous data are often hardly usable with categorical dimensions. Only few methods deal properly with such data, mostly because of the discrete nature of categorical data, which does not translate well into the continuous domains of space and color. parallel sets is a new visualization method that adopts the layout of parallel coordinates, but substitutes the individual data points by a frequency based representation. This abstracted view, combined with a set of carefully designed interactions, supports visual data analysis of large and complex data sets. The technique allows efficient work with meta data, which is particularly important when dealing with categorical datasets. By creating new dimensions from existing ones, for example, the user can filter the data according to his or her current needs. We also present the results from an interactive analysis of CRM data using parallel sets. We demonstrate how the flexible layout eases the process of knowledge crystallization, especially when combined with a sophisticated interaction scheme.

关键词： data analysis data visualization Information retrieval Histograms Frequency Filters Layout Crystallization Chromium Computer graphics

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Techniques for tuning workflows in cluster environments 05

Techniques for tuning workflows in cluster environments

引用

International symposium on High Performance Distributed Computing

作者： B.L. Tierney D.K. Gunter Distributed Syst. Dept. Lawrence Berkeley Nat. Lab. USA Distributed Systems Department Lawrence Berkeley National Laboratory USA

ISBN: (纸本)9780780390379

An important class of parallel processing jobs on clusters today are workflow-based applications that process large amounts of data in parallel. Traditional cluster performance tools are designed for tightly coupled parallel jobs, and not as effective for this type of application. We describe how the NetLogger Toolkit methodology is more appropriate for this class of cluster computing, and describe our new automatic workflow anomaly detection component. We also describe how this methodology is being used by the Nearby Supernova Factory (SNfactory) project at Lawrence Berkeley National Laboratory.

关键词： Performance analysis Laboratories Pipelines parallel processing Production facilities databases Event detection data visualization Job design Context

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proceedings - ieee 2001 symposium on parallel and large-data visualization and graphics

Proceedings - IEEE 2001 Symposium on Parallel and Large-Data...

引用

ieee symposium on parallel and large-data visualization and graphics

ISBN: (纸本)0780372239

The proceedings contain 17 papers. The topics discussed include: visualization challenges for a new cyberpharmaceutical computing paradigm;Delaunay based shape reconstruction from large data;parallel point reprojection;visualizing ocean currents with color and dithering;parallel lagrangian visualization applied to natural convective flows;real-time out-of-core visualization of particle traces;a unified infrastructure for parallel out-of-core isosurface and volume rendering of unstructured grids;parallel view-dependent isosurface extraction using multi-pass occlusion culling;parallel rendering with k-way replication;sort-last parallel rendering for viewing extremely large data sets on tile displays;multiresolution view-dependent splat based volume rendering of large irregular data;parallelizing a high accuracy hardware-assisted volume renderer for meshes with arbitrary polyhedra;and scalable interactive volume rendering using off-the-shelf components.

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