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检索条件"任意字段=Conference on Visualization and Data Analysis 2008"

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The Impact of Multiple Coordinated Views on the Visual data Exploration and analysis

The Impact of Multiple Coordinated Views on the Visual Data ...

引用

International conference on Information Visualisation (IV)

作者： Michele de Paula da Silva Maciel Bianchi Serique Meiguins Rodrigo Augusto de Moraes Lourenço A. Simões Gonçalves Meiguins Paulo Igor Alves Godinho Programa de Pós-Graduação em Ciência da Computação Universidade Federal do Pará(UFPA) Belém Pará Brasil Área de Ciências e Tecnologia Centro Universitário do Pará (CESUPA) Belém Pará Brasil

The use of information visualization tools that support multiple coordinated views for data exploration and analysis has become more frequent. However, few usability studies have focused this group of tools. The goal of this paper is to perform usability experiments with tools supporting multiple coordinated views on the same screen, in separate screens and tools that support each technique individually. To ensure a fair evaluation, a complexity-based task taxonomy was developed. The tools were therefore used to answer questions of the same level of complexity.

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Time plotting framework for remote display of flight data

Time plotting framework for remote display of flight data

引用

conference on Digital Avionics Systems (DASC)

作者： Julien Esposito University of Kansas Lawrence KS USA

This paper describes the design and implementation of a framework for real time plotting offering complete flexibility. The author attempts to synthesize answers to the problem of plotting and modifying the graphical aspects of real time data streamed remotely from an uninhabited aerial system (UAS). The paper is organized into two parts: design and implementation. The design section is divided into three main topics: a) data description and representation in general; b) how it is transformed for primary graphical purposes, and c) how it can be altered for advanced graphical representation purposes. The implementation section discusses code organization and how it can be enhanced by the use of design patterns. In the design section, the way data is represented is briefly discussed at the technical level, but emphasis is mostly put on how data can be described in a generic form, regardless of its nature. Such description encompasses the physical way data is delivered (e.g. serial port, Ethernet et cetera), and how to decode it. The simple data visualization section lays down some basic but useful ideas. There, several aspects are discussed, ranging from digits displaying on a graph, common ways of scaling, zooming it, and mostly how to do so in an efficient way. The third section is an attempt to solve the issue of generic time invariant graphic transformation (zooming, scaling) when applied to a real time context. There, differences between the two display contexts are enlightened. The analysis provides useful information, such as the additional computing requirements needed for a real time plotting software to deliver the same basic graphic features as those present de facto in a classic time invariant one. It is shown that in general, performing graphic operations on real time data is more challenging than doing so on a recorded data file. Such complexity usually translates into an increase in processing time as compared with the same operations performed on diffe

关键词： Displays Graphics Real time systems Ethernet networks Decoding data visualization Information analysis User interfaces Graphical user interfaces Logic design

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Type Highlighting: A Client-Driven Visual Approach for Class Hierarchies Reengineering

Type Highlighting: A Client-Driven Visual Approach for Class...

引用

IEEE International Workshop on Source Code analysis and Manipulation

作者： Petru Florin Mihancea LOOSE Research Group Politehnica University of Timişoara Romania

ISBN: (纸本)9780769533537

Polymorphism and class hierarchies are key to increasing the extensibility of an object-oriented program but also raise challenges for program comprehension. Despite many advances in understanding and restructuring class hierarchies, there is no direct support to analyze and understand the design decisions that drive their polymorphic usage. In this paper we introduce a metric-based visual approach to capture the extent to which the clients of a hierarchy polymorphically manipulate that hierarchy. A visual pattern vocabulary is also presented in order to facilitate the communication between analysts. Initial evaluation shows that our techniques aid program comprehension by effectively visualizing large quantities of information, and can help detect several design problems.

关键词： visualization Color Pixel Vocabulary Image color analysis Software data mining

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Regional and Global Dynamics in East Asia: A data Mining Experience

Regional and Global Dynamics in East Asia: A Data Mining Exp...

引用

Asia International conference on Modeling & Simulation

作者： Subana Shanmuganathan Manchuna Shanmuganathan Auckland University of Technology New Zealand

data mining (DM) has almost become an essential tool in this digital era. Research into developing novel methodologies to mining the ever-growing data and applying them to analysing a wide range of issues has never been so vigorous. DM applications including that of business intelligence attest remarkable success. This paper elaborates upon such a DM experience on how macro economic digital data from multiple sources could be mined to discover interesting developments in the regional and global dynamics of an emerging East Asian Community (EAC). Following a brief introduction to the former Malaysian Prime Minster Mahathir Mohamed's initiatives to form an EAC, the World Bank and ASEAN Financial Macroeconomic Surveillance Unit data are analysed to see how the numbers stack up. The application gives an example of how the needs of a modern society, to model regional and global dynamics of nations of interest could be met using DM techniques and digital data.

关键词： Asia data mining Delta modulation Macroeconomics data analysis Proposals Monitoring Surveillance data visualization Investments

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Distributed data Association and Filtering for Multiple Target Tracking

Distributed Data Association and Filtering for Multiple Targ...

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26th IEEE conference on Computer Vision and Pattern Recognition (CVPR 2008), vol.6

作者： Ting Yu Ying Wu Nils O. Krahnstoever Peter H. Tu GE Global Research Visualization and Computer Vision Laboratory Niskayuna NY USA Department of Electrical Engineering and Computer Sciences Northwestern University Evanston IL USA

This paper presents a novel distributed framework for multi-target tracking with an efficient data association computation. A decentralized representation of trackers' motion and association variables is adopted. Considering the interleaved nature of data association and tracker filtering, the multi-target tracking is formulated as a missing data problem, and the solution is found by the proposed variational EM algorithm. We analytically show that 1) the posteriori distributions of trackers' motions (the real interests in terms of tracking applications) can be effectively computed in the E-step of the EM iterations, and 2) the solution of trackers' association variables can be pursued under a derived graph-based discrete optimization formulation, thus efficiently estimated in the M-step by the recently emerging graph optimization algorithms. The proposed approach is very general such that sophisticated data association priori and likelihood function can be easily incorporated. This general framework is tested with both simulation data and real world surveillance video. The reported qualitative and quantitative studies verify the effectiveness and low computational cost of the algorithm.

关键词： Target tracking Distributed computing Filtering algorithms Algorithm design and analysis Motion analysis Motion estimation Testing Computational modeling Surveillance Computational efficiency

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Kohonen-Swarm Algorithm for Unstructured data in Surface Reconstruction

Kohonen-Swarm Algorithm for Unstructured Data in Surface Rec...

引用

International conference on Computer Graphics, Imaging and visualization, CGIV

作者： Fadni Bin Forkan Siti Mariyam Hj Shamsuddin Faculty of Computer Science & Information Systems Universiti Teknologi Malaysia Skudai Johor Malaysia

ISBN: (纸本)9780769533599;0769533590

This work introduces a new method for surface reconstruction based on hybrid soft computing techniques: Kohonen network and particle swarm optimization (PSO). Kohonen network learns the sample data through mapping grid that can grow. The implementation is executed by generating Kohonen mapping framework of the data subsequent to the learning process. Consequently, the learned and well-represented data become the input for surface fitting procedure, and in this study, PSO is proposed to probe the optimum fitting points on the surfaces. The proposed algorithms are applied on different types of curve and surfaces to observe its ability in reconstructing the objects while preserving the original shapes. The experimental results have shown that the proposed algorithm have succeeded in producing the reconstructed surfaces with minimum errors generated.

关键词： Surface reconstruction Surface treatment Surface fitting Neurons Image reconstruction Fitting Algorithm design and analysis

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Training and analysis of Support Vector Machine using Sequential Minimal Optimization

Training and analysis of Support Vector Machine using Sequen...

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IEEE International conference on Systems, Man and Cybernetics

作者： S. Shahbudin A. Hussain S. A. Samad N. Md Tahir Electrical Electronics & System Engineering Department Faculty of Engineering and Built Environment National University of Malaysia Darul Ehsan Malaysia Faculty of Electrical Engineering Universiti Teknologi MARA Darul Ehsan Malaysia

Maximizing the classification performance of the training data is a typical procedure in training a classifier. It is well known that training a Support Vector Machine (SVM) requires the solution of an enormous quadratic programming (QP) optimization problem. Serious challenges appeared in the training dilemma due to immense training and this could be solved using Sequential Minimal Optimization (SMO). This paper investigates the performance of SMO solver in term of CPU time, number of support vector and decision boundaries when applied in a 2-dimensional datasets. Next, the chunking algorithm is employed for comparison purpose. Initial results demonstrated that the SMO algorithm could enhance the performance of the training dataset. Both algorithms illustrated similar patterns from the decision boundaries attained. Classification rate achieved by both solvers are superb.

关键词： Support vector machines Support vector machine classification Quadratic programming Kernel Performance analysis data engineering Optimization methods data visualization Algorithm design and analysis Testing

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On the efficiency of using space-filling curves in network traffic representation

On the efficiency of using space-filling curves in network t...

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IEEE conference on Computer Communications Workshops, INFOCOM Wksps

作者： Taghrid Samak Sahar Ghanem Mohamed A. Ismail Computer and Systems Engineering Faculty of Engineering Alexandria University Alexandria Egypt

Network monitors produce a huge amount of traffic data continuously. This data needs to be stored and communicated for analysis purposes. An efficient traffic representation is needed to ensure that the maximum information is passed using reasonable resources. In this paper, we consider using space-filling curves (SFC) in traffic visualization. SFCs provide many desirable properties that help characterize traffic flows and identify anomalous behavior. First, we propose a methodology for representing traffic using SFCs. The proposed method generates traffic images that is robust against compression. Compressed images provide both storage and bandwidth savings, for example, when the image is transmitted from the monitor to an analyzing engine. Second, the proposed technique is evaluated for different SFCs by comparing original images with compressed images in terms of mapping accuracy and efficiency. Actual traces of DDoS attack and Code Red spread traffic is used in the evaluation. The resulting images are shown to withstand aggressive compression while preserving traffic properties.

关键词： Telecommunication traffic Image coding Image storage data visualization Image generation Robustness Bandwidth Image analysis Engines Computer crime

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Link analysis based on webpage co-occurrence mining - a case study on a notorious gang leader in Taiwan

Link analysis based on webpage co-occurrence mining - a case...

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IEEE International conference on Intelligence and Security Informatics, ISI

作者： Yi-Ting Peng Jau-Hwang Wang Department of Information Management Central Police University Taoyuan Taiwan

The rapid development and integration of computer and communication technology have made the Internet one of the major media for communication. Nowadays, the Internet and world-wide-web (WWW) are used in every facet of modern society. This research proposes to develop a link analysis method based on Web page co-occurrence mining. The Google Internet search engine is used to gather Web pages relevant to a certain search subject. The proper nouns on each relevant page are then extracted using the Chinese Word Segmentation System, developed by Academia Sinica, Taiwan. The co-occurrence data of proper nouns is then analyzed and used for constructing link charts for visualization and further analysis.

关键词： Internet Information analysis Discussion forums Layout IP networks Social network services Law enforcement Computer crime Fingerprint recognition Information technology

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The application of cross recurrence plot in deaf linguistic training system

The application of cross recurrence plot in deaf linguistic ...

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The 2nd International conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

作者： Xu Wang Fangfang Jiang Dan Yang Mingjun Liu Sino-Dutch Biomedical and Information Engineering School Northeastern University Shenyang Liaoning Province China

A new technique of nonlinear interrelations between time series is applied to assist the leaf to learn language. As part of this work we are investigating recurrence quality analysis (RQA) and cross recurrence plot (CRP) approach. In the experiments reported here, we made the Chinese vowel and vocabulary visual using CRP. Experimental results demonstrate that this method is effective in assistant location; it could be helpful to discipline deaf speaking.

关键词： Deafness data visualization Speech data analysis Biomedical engineering Natural languages Vocabulary Fingers Time series analysis Shape

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