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检索条件"任意字段=Conference on Visualization and Data Analysis 2007"

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visualization and data mining method for inventory classification

Visualization and data mining method for inventory classific...

引用

IEEE International conference on Service Operations and Logistics, and Informatics, SOLI

作者： Innar Liiv Department of Informatics Tallinn University of Technology Tallinn Estonia

Inventory classification of stock-keeping units is typically achieved with ABC analysis accompanied with a diagram describing the distribution of dollar-usage values. Unfortunately, it fails to identify the interdependencies between the products, which may lead to alienating customers by ignoring the effect of assortments of choices. To remedy this problem, we propose new visualization and product interdependency identification methods. Experimental results in real-world scenarios for two warehouse datasets are included and analyzed.

关键词： data visualization data mining Inventory management Group technology Manufacturing History Assembly Spirals Profitability Pareto analysis

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Perceptive Factors for Volume visualization in Medical Image analysis

Perceptive Factors for Volume Visualization in Medical Image...

引用

2007 IEEE/ICME International conference on Complex Medical Engineering-CME2007(CME2007 第二届国际复合医学工程学术大会)

作者： Zhiyan Wang Jianlong Zhou Chun Xiao School of Computer Science&Engineering South China University of Technology Guangzhou 510640 P.R.Ch Department of Computer Science Xiangtan University Xiangtan 411105 P.R.China

In the context of medical image analysis, it is useful to study how effectively the renditions created through volume rendering depicts anatomical structures and how well features of anatomical structures can be discerned in order to make decisions. In this paper, we firstly analyze the roles of perception for volume visualization in order to get perceptual factors which affect the effectiveness of volume visualization. The perceptual analysis results are then used to design visualization tools to demonstrate their effects on visual perception and mental models. In this paper, we mainly focus on depicting two kinds of object structural relationships that are important for extracting and understanding structures of interest: topological relationships (e.g. inside/outside) and spatial positional relationships.

关键词： Biomedical imaging Image analysis data visualization Cognitive science data analysis Pipelines Visual perception Anatomical structure Rendering (computer graphics) Layout

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Representing, Analyzing, and Visualizing Scholarly data in Support of Research Management

Representing, Analyzing, and Visualizing Scholarly Data in S...

引用

International conference on Information Visualisation (IV)

作者： Thomas Neirynck Katy Borner School of Library and Information Science Indiana University Bloomington IN USA

This paper describes a data management system that serves leaders and members of scholarly units (e.g., research groups, laboratories or centers) to organize, store, and access information relevant to their work and to the operation of their unit. In particular, we discuss the representation of major data types such as people, projects, teaching, publications, presentations, calls & events, datasets, software, hardware, and funding as well as their interlink ages. Based on this representation, different analyses and visualizations become possible. Each visualization is presented in detail and its usage and relevance for the management and presentation of a unit's operation is discussed. We conclude with an outlook and discussion.

关键词： data visualization Education Hardware Information technology data analysis Laboratories Knowledge management Information retrieval Information analysis Communication system operations and management

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Working with patterns in large multivariate datasets - Karnaugh-Veitch-Maps revisited

Working with patterns in large multivariate datasets - Karna...

引用

International conference on Information Visualisation (IV)

作者： Thorsten May Fraunhofer Institute of Computer Graphics Research (IGD) Germany

We present an interactive visualization method for the multivariate analysis of large and complex datasets, based on the layout of Karnaugh-Veitch-diagrams. Working on data categories, we additionally provide an interactive partitioning of value ranges of ordinal types. Multivariate dependencies manifest on the map in characteristic color patterns. These patterns are representations of subsets of the data or attributes which embody significant information. While the task of the user is to identify visual patterns of particular interest to him by clicking on the map, the software identifies a minimal representation of the corresponding subset and gives a visual feedback. Hence, user and machine cooperate on the basis of a strong visual coupling in short iterative cycles. During this process the trade-off between the accuracy and simplicity of a representation, which is crucial for any type of the building of analytical models, can be found in an effective way.

关键词： data visualization Pattern analysis Displays data analysis Humans Navigation Computer graphics Layout Feedback Analytical models

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An analysis of the effects of miss clustering on the cost of a cache miss

An analysis of the effects of miss clustering on the cost of...

引用

4th conference On Computing Frontiers 2007

作者： Puzak, Thomas R. Hartstein, A. Emma, P.G. Srinivasan, V. Mitchell, Jim IBM - T. J. Watson Research Center PO Box 218 Yorktown Heights NY 10598 United States

ISBN: (纸本)1595936831

In this paper we describe a new technique, called pipeline spectroscopy, and use it to measure the cost of each cache miss. The cost of a miss is displayed (graphed) as a histogram, which represents a precise readout showing a detailed visualization of the cost of each cache miss throughout all levels of the memory hierarchy. We call the graphs 'spectrograms' because they reveal certain signature features of the processor's memory hierarchy, the pipeline, and the miss pattern itself. Next we provide two examples that use spectroscopy to optimize the processor's hardware or application's software. The first example demonstrates how a miss spectrogram can aid software designers in analyzing the performance of an application. The second example uses a miss spectrogram to analyze bus queueing. Our experiments show that performance gains of up to 8% are possible. Detailed analysis of a spectrogram leads to much greater insight in pipeline dynamics, including effects due to miss cluster, miss overlap, prefetching, and miss queueing delays. Copyright 2007 ACM.

关键词： Pipeline processing systems

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Viewing the Larger Context of Genomic data through Horizontal Integration

Viewing the Larger Context of Genomic Data through Horizonta...

引用

International conference on Information Visualisation (IV)

作者： Matthew Hibbs Grant Wallace Maitreya Dunham Kai Li Olga Troyanskaya Department of Computer Science Princeton University Princeton NJ USA Lewis-Sigler Institute for Integrative Genomics Princeton University Princeton NJ USA Princeton University Princeton

Genomics is an important emerging scientific field that relies on meaningful data visualization as a key step in analysis. Specifically, most investigation of gene expression microarray data is performed using visualization techniques. However, as microarrays become more ubiquitous, researchers must analyze their own data within the context of previously published work in order to gain a more complete understanding. No current method for microarray visualization and analysis enables biology researchers to observe the greater context of data that surrounds their own results, which severely limits the ability of researchers draw novel conclusions. Here we present a system, called HIDRA, that visually integrates the simultaneous display of multiple microarray datasets to identify important parallels and dissimilarities. We demonstrate the power of our approach through examples of real-world biological insights that can be observed using HIDRA that are not apparent using other techniques.

关键词： Genomics Bioinformatics Displays data visualization data analysis Gene expression Evolution (biology) Biological information theory Computer science Cells (biology)

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Interpretable Convolutional Neural Networks 31

Interpretable Convolutional Neural Networks

引用

31st IEEE/CVF conference on Computer Vision and Pattern Recognition (CVPR)

作者： Zhang, Quanshi Wu, Ying Nian Zhu, Song-Chun Univ Calif Los Angeles Los Angeles CA 90024 USA

ISBN: (纸本)9781538664209

This paper proposes a method to modify a traditional convolutional neural network (CNN) into an interpretable CNN, in order to clarify knowledge representations in high cony-layers of the CNN. In an interpretable CNN, each filter in a high cony-layer represents a specific object part. Our interpretable CNNs use the same training data as ordinary CNNs without a need for any annotations of object parts or textures for supervision. The interpretable CNN automatically assigns each filter in a high cony-layer with an object part during the learning process. We can apply our method to different types of CNNs with various structures. The explicit knowledge representation in an interpretable CNN can help people understand the logic inside a CNN, i.e. what patterns are memorized by the CNN for prediction. Experiments have shown that filters in an interpretable CNN are more semantically meaningful than those in a traditional CNN. The code is available at https://gChub, com/zqs1022/inteipretableCNN.

关键词： visualization Semantics Integrated circuits Convolutional neural networks Task analysis Training Entropy

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Angioplasty simulation using ChainMail method

Angioplasty simulation using ChainMail method

引用

Medical Imaging 2007 conference

作者： Le Fol, Tanguy Acosta-Tamayo, Oscar Lucas, Antoine Haigron, Pascal INSERM Lab Traitement Signal & Image U642 Rennes France Univ Rennes 1 LTSI F-35042 Rennes France CSIRO ICT Ctr Autonomous Syst Lab BioMedIA Lab Brisbane Qld 4000 Australia

ISBN: (纸本)9780819466273

Tackling transluminal angioplasty planning, the aim of our work is to bring, in a patient specific way, solutions to clinical problems. This work focuses on realization of simple simulation scenarios taking into account macroscopic behaviors of stenosis. It means simulating geometrical and physical data from the inflation of a balloon while integrating data from tissues analysis and parameters from virtual tool-tissues interactions. In this context three main behaviors has been identified: soft tissues crush completely under the effect of the balloon, calcified plaques, do not admit any deformation but could move in deformable structures, the blood vessel wall undergoes consequences from compression phenomenon and tries to find its original form. We investigated the use of Chain-Mail which is based on elements linked with the others thanks to geometric constraints. Compared with time consuming methods or low realism ones, Chain-Mail methods provide a good compromise between physical and geometrical approaches. In this study, constraints are defined from pixel density from angio-CT images. The 2D method, proposed in this paper, first initializes the balloon in the blood vessel lumen. Then the balloon inflates and the moving propagation, gives an approximate reaction of tissues. Finally, a minimal energy level is calculated to locally adjust element positions, throughout elastic relaxation stage. Preliminary experimental results obtained on 2D computed tomography (CT) images (100x100 pixels) show that the method is fast enough to handle a great number of linked-element. The simulation is able to verify real-time and realistic interactions, particularly for hard and soft plaques.

关键词： modeling surgical simulation ChainMail visualization

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Targeted Projection Pursuit for Interactive Exploration of High- Dimensional data Sets

Targeted Projection Pursuit for Interactive Exploration of H...

引用

International conference on Information Visualisation (IV)

作者： Joe Faith Northumbria University Newcastle-upon-Tyne UK

High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. Targeted Projection Pursuit is a novel method for visualising high-dimensional datasets which allows the user to interactively explore the space of possible views to find those that meet their requirements. A prototype tool that utilises this method is introduced, and is shown to allow users to explore data through an interface that is transparent and efficient. The tool and underlying technique are general purpose - applicable to any high-dimensional numeric data, and supporting a wide range of exploratory data analysis activities - but are evaluated on three particular tasks using gene expression data: identifying discriminatory genes, visualising diagnostic classes, and detecting misdiagnosed samples. It is found to perform well in comparison with standard techniques.

关键词： data visualization Space exploration Prototypes data analysis Gene expression Principal component analysis Singular value decomposition Scattering Statistics Video sequences

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Finite Element analysis of Three Dimensional Medical Model Generated from CT Scan data. 13

Finite Element Analysis of Three Dimensional Medical Model G...

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13th National conference on Machines and Mechanisms, NaCoMM 2007

作者： Deoghare, Ashish B. Padole, P.M. Department of Mechanical Engineering Visvesvaraya National Institute Of Technology Nagpur India

Computer Tomography (CT) and magnetic resonance imaging (MRI) are the two most common techniques used to acquire detailed anatomical information in the field of medical imaging. Medical Practitioner requires skills and experience to co-relate these images for the correct diagnosis. Medical practitioner faces difficulty in accessing these images as it not platform independent, these images can be access only at platform where the scanner is attached. Hence, author has developed a program, which not only overcome these difficulty but also enhances the visualization of the CT scan images as well as facilitates to distinguish the soft tissues and bone tissues clearly thereby minimizing the ambiguity to tackle the problem during image guided surgery. Further it has been attempted to develop the actual computer aided 3 D model from the slices of CT scan images which can be analyzed by Finite Element Method to know the responses at various loading conditions. The resulted information will be helpful for the medical practitioner to suggest proper prevention and precaution to the patients. Actual physical model can be generated by Rapid prototyping technique. A precise actual physical model facilitates the pre-operative planning of an optimal surgical approach and enables selection of correct and appropriate implants. The integration of technologies such as medical imaging, Computer Aided modeling, RP and FEA is important in medical field to reduce the cost and risk to patients and strengthening the decision making capacity of medical practitioner. © 13th National conference on Machines and Mechanisms, NaCoMM 2007.

关键词： Finite element method

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