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检索条件"任意字段=Conference on Visualization and Data Analysis 2011"

共 1225 条记录，以下是281-290 订阅

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DNA sequence visualization and feature extraction

DNA sequence visualization and feature extraction

引用

15th World Multi-conference on Systemics, Cybernetics and Informatics, WMSCI 2011

作者： Trifas, Monica Francia III, Guillermo Murdock, Chris Mann, Crystal Mayo, Quention Wiggins, Ashley Department of Mathematical Computing and Information Sciences Jacksonville State University 700 Pelham Road N. Jacksonville AL 36265 United States Department of Biology Jacksonville State University 700 Pelham Road N. Jacksonville AL 36265 United States

ISBN: (纸本)9781936338306

The 2010-2011 Jacksonville State University (JSU)-CREU project's focus is on problems in the area of DNA sequence visualization. Specialized software (BLAST, FASTA, etc) are utilized for identifying and aligning nucleotide sequences obtained from sample data provided by the Biology department at JSU. The project team designed and implemented a visualization system that takes, as input, the output of the specialized DNA-analysis software. The output of the visualization system is a visual display of the text-formatted input data. To complete the JSU-CREU project, biology students will be asked to complete a survey on the usability of this and other visualization systems. The results of the survey will be statistically analyzed and an analysis report will be written.

关键词： DNA sequences

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Extracting and Visualising Tree-like Structures from Concept Lattices

Extracting and Visualising Tree-like Structures from Concept...

引用

15th International conference on Information Visualisation (IV)

作者： Melo, Cassio Le-Grand, Benedicte Aufaure, Marie-Aude Bezerianos, Anastasia Ecole Cent Paris MAS Lab Paris France Lab Informat 6 LIP6 Paris France

ISBN: (纸本)9780769544762

Traditional software in Formal Concept analysis makes little use of visualization techniques, producing poorly readable concept lattice representations when the number of concepts exceeds a few dozens. This is problematic as the number of concepts in such lattices grows significantly with the size of the data and the number of its dimensions. In this work we propose several methods to enhance the readability of concept lattices firstly though colouring and distortion techniques, and secondly by extracting and visualizing trees derived from concept lattice structures. These contributions represent an important step in the visual analysis of conceptual structures, as domain experts may visually explore larger datasets that traditional visualizations of concept lattice cannot represent effectively.

关键词： Concept Lattices Formal Concept analysis Tree Extraction

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A framework for cloud-based large-scale data analytics and visualization: Case study on multiscale climate data

A framework for cloud-based large-scale data analytics and v...

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2011 3rd IEEE International conference on Cloud Computing Technology and Science, CloudCom 2011

作者： Lu, Sifei Li, Reuben Mingguang Tjhi, William Chandra Lee, Kee Khoon Wang, Long Li, Xiarong Ma, Di Institute of High Performance Computing Agency for Science Technology and Research Singapore Singapore Department of Geography National University of Singapore Singapore Singapore Institute for Infocomm Research Agency for Science Technology and Research Singapore Singapore

ISBN: (纸本)9780769546223

In this paper, we present a cloud framework to provide cloud clustering, workflow scheduling and management, fault tolerance and distributed data storage, data analytics and visualisation services. Using a practical case study, we show that in the process of analyzing multiscale climate data, typical problems plaguing data analysts are faced. These include large datasets and limited computational resources;data complexity and limited knowledge;and varying data structures/formats and the need to integrate different tools. The implementation of our framework to climate studies was a success. This can be seen in its ability to perform spatio-temporal data analysis and visualization of a large multi-dimensional climate dataset with reduced processing time. The framework demonstrates great flexibility and simplicity for end users intending to perform data analysis by aiding the integration of data and tools and enabling interactive visualization on-the-fly. This is coupled with effective utilization of computational resources and data storage systems. © 2011 IEEE.

关键词： data visualization

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Using Visual analysis to Weight Multiple Signatures to Discriminate Complex data

Using Visual Analysis to Weight Multiple Signatures to Discr...

引用

15th International conference on Information Visualisation (IV)

作者： Bueno, Renato Kaster, Daniel S. Razente, Humberto L. Barioni, Maria Camila N. Traina, Agma J. M. Traina, Caetano, Jr. Fed Univ Sao Carlos UFSCar Sao Carlos SP Brazil Univ Londrina UEL Londrina PR Brazil Fed Univ ABC UFABC Santo Andre SP Brazil Univ Sao Paulo Sao Carlos SP Brazil

ISBN: (纸本)9780769544762

Complex data is usually represented through signatures, which are sets of features describing the data content. Several kinds of complex data allow extracting different signatures from an object, representing complementary data characteristics. However, there is no ground truth of how balancing these signatures to reach an ideal similarity distribution. It depends on the analyst intent, that is, according to the job he/she is performing, a few signatures should have more impact in the data distribution than others. This work presents a new technique, called Visual Signature Weighting (ViSW), which allows interactively analyzing the impact of each signature in the similarity of complex data represented through multiple signatures. Our method provides means to explore the tradeoff of prioritizing signatures over the others, by dynamically changing their weight relation. We also present case studies showing that the technique is useful for global dataset analysis as well as for inspecting subspaces of interest.

关键词： visual data analysis multiple signature weighting complex data similarity

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DEA based Hierarchical Structure Evaluation and visualization Method

DEA based Hierarchical Structure Evaluation and Visualizatio...

引用

IEEE International conference on Fuzzy Systems (FUZZ 2011)

作者： Inoue, Kazushige Ichinotsubo, Takeo Aoki, Shingo Osaka Prefecture Univ Dept Comp Sci & Intelligent Syst Osaka Japan

ISBN: (纸本)9781424473175

data Envelopment analysis (DEA) is a method for evaluating the management efficiency of Decision Making Units (DMUs) relatively. However, when the number of inputs and outputs items is increased, the results of evaluation value are similar regretfully. In order to evaluate Japanese universities which have various activities, this study proposed the hierarchical structure DEA model which is divided into some activities (finance, achievement, attractiveness, research, and education). Hierarchical structure has constructed by some layers based on the theory that the efficiencies of lower layer can not exceed the ones of upper layer. In addition, this paper proposed the visualization method that the analyst can visually understand which field is strong or weak. Using proposed DEA model and visualizing method, the numerical study showed us to be able to understand the feature of each university.

关键词： Decision Support System data Envelopment analysis Vissualizaiion Method

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A 3D visualization System for Structured Overlays

A 3D Visualization System for Structured Overlays

引用

11th IEEE International conference on Peer-to-Peer Computing (P2P)

作者： Nagao, Hiroya Suzuki, Shuji Shudo, Kazuyuki Tokyo Inst Technol Tokyo 152 Japan

ISBN: (纸本)9781457701498

Many structured overlays forward messages based not only on node identifiers but also on the other factors such as network proximity. It is an essential requirement for a visualization system to exhibit how the factors are considered in a overlay. Such a visualization system allows us to grasp intuitively characteristics of an overlay algorithm. If this is achieved, differences between algorithms become more distinguishable, and those who are unfamiliar with an algorithm are also able to know improvement between algorithms. Thus, such a visualization increases their interests in research activity in peer-to-peer computing. In this demonstration we propose a novel 3D visualization system for structured overlays. The system is practically able to visualize how routing algorithms consider node groups in an effective manner. We demonstrate the system with Chord and GFRT-Chord algorithms, but the system is able to visualize algorithms not limited to them.

关键词： 3D visualization system Algorithm design and analysis Computer architecture GFRT-chord algorithm Peer to peer computing Routing Three dimensional displays visualization Weaving data visualisation network proximity peer-to-peer computing peer-to-peer computing routing algorithm structured overlay

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visualization of Automated and Manual Trajectories in Wide-Area Motion Imagery

Visualization of Automated and Manual Trajectories in Wide-A...

引用

15th International conference on Information Visualisation (IV)

作者： Haridas, Anoop Pelapur, Rengarajan Fraser, Joshua Bunyak, Filiz Palaniappan, Kannappan Univ Missouri Dept Comp Sci Columbia MO 65201 USA

ISBN: (纸本)9780769544762

The task of automated object tracking and performance assessment in low frame rate, persistent, wide spatial coverage motion imagery is an emerging research domain. The collection of hundreds to tens of thousands of dense trajectories produced by such automatic algorithms along with the subset of manually verified tracks across several coordinate systems require new tools for effective human computer interfaces and exploratory trajectory visualization. We describe an interactive visualization system that supports very large gigapixel per frame video;facilitates rapid, intuitive monitoring and analysis of tracking algorithm execution;provides visual methods for the intercomparison of very long manual tracks with multi-segmented automatic tracker outputs;and a flexible KOLAM TrackingSimulator (KOLAM-TS) middleware that generates visualization data by automating the object tracker performance testing and benchmarking process.

关键词： WAMI tracking trajectory visualization

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A Flexible, Low-Complexity Device Adaptation Approach for data Presentation

A Flexible, Low-Complexity Device Adaptation Approach for Da...

引用

conference on visualization and data analysis 2011

作者： Rosenbaum, Rene Gimenez, Alfredo Schumann, Heidrum Hamann, Bernd Univ Calif Davis Dept Comp Sci IDAV Davis CA 95616 USA Univ Rostock Inst Comp Sci D-18059 Rostock Germany

ISBN: (纸本)9780819484055

Visual data presentations require adaptation for appropriate display on a viewing device that is limited in resources such as computing power, screen estate, and/or bandwidth. Due to the complexity of suitable adaptation, the few proposed solutions available are either too resource-intensive or inflexible to be applied broadly. Effective use and acceptance of data visualization on constrained viewing devices require adaptation approaches that are tailored to the requirements of the user and the capabilities of the viewing device. We propose a predictive device adaptation approach that takes advantage of progressive data refinement. The approach relies on hierarchical data structures that are created once and used multiple times. By incrementally reconstructing the visual presentation on the client with increasing levels of detail and resource utilization, we can determine when to truncate the refinement of detail so as to use the resources of the device to their full capacities. To determine when to finish the refinement for a particular device, we introduce a profile-based strategy which also considers user preferences. We discuss the whole adaptation process from the storage of the data into a scalable structure to the presentation on the respective viewing device. This particular implementation is shown for two common data visualization methods, and empirical results we obtained from our experiments are presented and discussed.

关键词： Device adaptation Progressive refinement Multi-resolution data presentation

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Guiding feature subset selection with an interactive visualization

Guiding feature subset selection with an interactive visuali...

引用

2nd IEEE conference on Visual Analytics Science and Technology 2011, VAST 2011

作者： May, Thorsten Bannach, Andreas Davey, James Ruppert, Tobias Kohlhammer, Jörn Fraunhofer Institute for Computer Graphics Research Darmstadt Germany

ISBN: (纸本)9781467300131

We propose a method for the semi-automated refinement of the results of feature subset selection algorithms. Feature subset selection is a preliminary step in data analysis which identifies the most useful subset of features (columns) in a data table. So-called filter techniques use statistical ranking measures for the correlation of features. Usually a measure is applied to all entities (rows) of a data table. However, the differing contributions of subsets of data entities are masked by statistical aggregation. Feature and entity subset selection are, thus, highly interdependent. Due to the difficulty in visualizing a high-dimensional data table, most feature subset selection algorithms are applied as a black box at the outset of an analysis. Our visualization technique, SmartStripes, allows users to step into the feature subset selection process. It enables the investigation of dependencies and interdependencies between different feature and entity subsets. A user may even choose to control the iterations manually, taking into account the ranking measures, the contributions of different entity subsets, as well as the semantics of the features. © 2011 IEEE.

关键词： Semantics

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Spatial data-mining Technology Assisting in Petroleum Reservoir Modeling

Spatial Data-mining Technology Assisting in Petroleum Reserv...

引用

2nd International conference on Challenges in Environmental Science and Computer Engineering (CESCE)

作者： Li Gongquan Xiao Keyan Yangtze Univ Dept Geosci Yangtze 434023 Hubei Peoples R China

ISBN: (纸本)9781627485340

Petroleum reservoir modeling integrates multi-discipline research works which involve much more data type, huge data and complex data-flow. It is very important to bring the spatial data-mining (SDM) method into reservoir modeling. According to the characterization of reservoir modeling procedure, spatial data-mining can be used in reservoir geological research and ranking reservoir modeling. Geo-statistical method, spatial analysis method, visualizing method and non-linear method are the most effective methods for reservoir modeling based on the type of reservoir knowledge. Spatial-overlapping method is used for studying the relationship between sedimentary micro-facies and oil production with statistical method. The distribution knowledge of sedimentary micro-facies is built by geo-statistical method. The visualization method is used for checking the exactness of reservoir model. The application in Wenxi I Block of Tuha oil field is shown that spatial data-mining technology not only improves the efficient of reservoir modeling, but also verifies the knowledge obtained from each researching stage so as to guarantee the integrality and exactness of reservoir knowledge.

关键词： Reservoir Modeling data Mining Overlapping analysis visualization

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