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Query, analysis, and visualization of hierarchically structured data using Polaris 02

Query, analysis, and visualization of hierarchically structu...

引用

Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining

作者： Chris Stolte Diane Tang Pat Hanrahan Stanford CA

ISBN: (纸本)9781581135671

In the last several years, large OLAP databases have become common in a variety of applications such as corporate data warehouses and scientific computing. To support interactive analysis, many of these databases are augmented with hierarchical structures that provide meaningful levels of abstraction that can be leveraged by both the computer and analyst. This hierarchical structure generates many challenges and opportunities in the design of systems for the query, analysis, and visualization of these *** this paper, we present an interactive visual exploration tool that facilitates exploratory analysis of data warehouses with rich hierarchical structure, such as might be stored in data cubes. We base this tool on Polaris, a system for rapidly constructing table-based graphical displays of multidimensional databases. Polaris builds visualizations using an algebraic formalism derived from the interface and interpreted as a set of queries to a database. We extend the user interface, algebraic formalism, and generation of data queries in Polaris to expose and take advantage of hierarchical structure. In the resulting system, analysts can navigate through the hierarchical projections of a database, rapidly and incrementally generating visualizations for each projection.

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Neuro-fuzzy systems for explaining data sets

Neuro-fuzzy systems for explaining data sets

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conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： D.D. Nauck BT Exact Technologies Research Ipswich UK

In this paper we describe ITEMS-a system for the estimation, visualization and exploration of travel data of a mobile workforce. One key feature of ITEMS is the interactive exploration of travel data that is visualized on maps. Users can not only see which journeys were late, on-time or early, but they can also request explanations why a journey was possibly late, for example. We have integrated a neuro-fuzzy system based on NEFCLASS into ITEMS. NEFCLASS generates explanatory fuzzy rules for a selected data subset in real time and presents them to the user. The rules can help the user in understanding the data better and in spotting possible problems in workforce management. We discuss aspects of learning interpretable fuzzy rules for generating explanations and demonstrate the application of NEFCLASS in the context of ITEMS.

关键词： Fuzzy neural networks data analysis Intelligent systems World Wide Web data visualization Customer relationship management Predictive models Fuzzy systems Electronic mail Web and internet services

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Visualizing the WCCI 2006 Knowledge Domain

Visualizing the WCCI 2006 Knowledge Domain

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IEEE International conference on Fuzzy Systems (FUZZ-IEEE)

作者： N.J. van Eck L. Waltman J. van den Berg U. Kaymak Faculty of Economics Erasmus University Rotterdam Rotterdam Netherlands

In this paper, a knowledge domain visualization approach is applied to the computational intelligence held. A so-called concept map based on the abstracts of the papers presented at the WCCI 2006 is constructed and analyzed. The concept map provides an overview of the computational intelligence field by visualizing the associations between the field's main concepts. To analyze recent developments in the computational intelligence field, the concept map is compared with a concept map based on abstracts of the WCCI 2002. The analysis presented in the paper provides insight into the structure of the computational intelligence field and into the most significant developments in the field during the last years.

关键词： Abstracts Computational intelligence data mining data visualization Neural networks Fuzzy systems Evolutionary computation Frequency Information analysis

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High performance data mining

引用

5th International conference on High Performance Computing for Computational Science, VECPAR 2002

作者： Kumar, Vipin Joshi, Mahesh V. Han, Eui-Hong Sam Tan, Pang-Ning Steinbach, Michael University of Minnesota 4-192 EE/CSci Building 200 Union Street SE MinneapolisMN55455 United States

ISBN: (纸本)3540008527

Recent times have seen an explosive growth in the availability of various kinds of data. It has resulted in an unprecedented opportunity to develop automated data-driven techniques of extracting useful knowledge. data mining, an important step in this process of knowledge discovery, consists of methods that discover interesting, non-trivial, and useful patterns hidden in the data[SAD+93, CHY96]. The field of data mining builds upon the ideas from diverse fields such as machine learning, pattern recognition, statistics, database systems, and data visualization. But, techniques developed in these traditional disciplines are often unsuitable due to some unique characteristics of today’s data-sets, such as their enormous sizes, high-dimensionality, and heterogeneity. There is a necessity to develop effective parallel algorithms for various data mining techniques. However, designing such algorithms is challenging, and the main focus of the paper is a description of the parallel formulations of two important data mining algorithms: discovery of association rules, and induction of decision trees for classification. We also briefly discuss an application of data mining to the analysis of large data sets collected by Earth observing satellites that need to be processed to better understand global scale changes in biosphere processes and patterns. © Springer-Verlag Berlin Heidelberg 2003.

关键词： data mining

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Implementing advanced cleaning and end-user interpretability technologies in Web log mining

Implementing advanced cleaning and end-user interpretability...

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International conference on Information Technology Interfaces

作者： Z. Pabarskaite School of Computing Information Systems and Mathematics South Bank University London UK

Two new approaches to Web log mining are presented. Novel advanced cleaning improves Web log mining results. Improved filtering removes pages with no links from other pages. In the data visualisation phase, technical representations of Web pages are replaced by user attractive text interpretations. Experiments with the real world problems showed that the proposed techniques significantly increase the quality and usefulness of Web log mining results.

关键词： Cleaning data visualization data mining Web mining Web page design Web server data analysis Information systems Mathematics Filtering

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A statistical analysis of shape reconstruction from areas of shadows

A statistical analysis of shape reconstruction from areas of...

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Asilomar conference on Signals, Systems & Computers

作者： A. Poonawala P. Milanfar R.J. Gardner Computer Engineering Department University of California Santa Cruz CA USA Electrical Engineering Department University of California Santa Cruz CA USA Mathematics Department Western Washington University Bellingham WA USA

We present a statistical analysis of the problem of shape reconstruction from measurements of the brightness function (areas of shadows) by deriving the Cramer-Rao lower bound (CRLB) on the estimated 2-D boundary. Confidence region techniques are used to analyze and visualize the performance of the 2-D parametric shape estimation problem. The brightness function data is very weak, so a constrained CRLB is used on the shape parameters to form the confidence regions. Algorithms for reconstructing the shape of a convex object from multiple measurements of its brightness function were developed in [R. J. Gardner and P. Milanfar, "Shape reconstruction from brightness functions", August 2001] and [R. J. Gardner and P. Milanfar, "Reconstruction of convex bodies from brightness functions"]. The Cramer-Rao bound analysis presented provides statistical estimates that can be used for performance evaluation of these algorithms.

关键词： Statistical analysis Brightness Shape measurement Image reconstruction Tomography Area measurement Electric variables measurement Performance analysis data visualization Algorithm design and analysis

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The informatics requirements for human brain atlasing

The informatics requirements for human brain atlasing

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International conference on Neural Information Processing

作者： A.W. Toga Laboratory of Nemo Imaging Department of Neurology School of Medicine UCLA Los Angeles CA USA

Brain atlases are neuroimage databases providing an appropriate coordinate system to enable multisubject comparisons, along with comprehensive descriptions of the data. Warping tools, visualization, and statistical analyses that accommodate the various neuroimaging modalities can be used to integrate diverse data to form comprehensive maps describing a particular subpopulation's brain structure and function. Task performance and genetic information can be related to brain morphology, establishing complex inter-relations between genotype, phenotype, and behavior.

关键词： Humans Image databases Brain mapping Genetics Image analysis Positron emission tomography Biomedical informatics Laboratories Nervous system Biomedical imaging

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Protection against methanol-induced retinal toxicity by LED photostimulation

Protection against methanol-induced retinal toxicity by LED ...

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12th conference on Ophthalmic Technologies

作者： Whelan, HT Wong-Riley, MTT Eells, JT Med Coll Wisconsin Milwaukee WI 53226 USA

ISBN: (纸本)0819443506

We have initiated experiments designed to test the hypothesis that 670nm Light-Emitting Diode (LED) exposure will attenuate formate-induced retinal dysfunction in a rodent model of methanol toxicity. Methanol intoxication produces toxic injury to the retina. The toxic metabolite formed in methanol intoxication is formic acid, a mitochondrial toxin known to inhibit cytochrome oxidase activity. 670 rim LED light has been hypothesized to act by stimulating cytochrome oxidase activity. To test this hypothesis, one group of animals was intoxicated with methanol, a second group was intoxicated with methanol and LED-treated and a third group was untreated. LED treatment (670 nm for 1 min 45 seconds = 50 mW/cm(2), 4 joules/cm(2)) was administered at 5, 25, and 50 hours after the initial dose of methanol. At 72 hours of methanol intoxication, retinal function was assessed by measurement of ERG responses and retinas were prepared for histologic analysis. ERG responses recorded in methanol-intoxicated animals revealed profound attenuation of both rod-dominated and UV-cone mediated responses. In contrast, methanol-intoxicated animals exposed to LED treatment exhibited a nearly complete recovery of rod-dominated ERG responses and a slight improvement of UV-cone mediated ERG responses. LED treatment also protected the retina against the histopathologic changes produced by formate in methanol. intoxication. These data provide evidence that LED phototherapy protects the retina against the cytotoxic actions of formate and are consistent with the hypothesis that LED photostimulation improves mitochondrial respiratory chain function.

关键词： Light emitting diodes Retina Toxicity Photostimulation Blood Optic nerve Rods visualization Eye Tissues

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Case study: visualization and analysis of high Rayleigh number --- 3D convection in the Earth's mantle 02

Case study: visualization and analysis of high Rayleigh numb...

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Proceedings of the conference on visualization '02

作者： Gordon Erlebacher David A. Yuen Fabien Dubuffet School of Computational Science & Information Technology Florida State University Minnesota Supercomputer Institute University of Minnesota

ISBN: (纸本)9780780374980

data sets from large-scale simulations (up to 5013 grid points) of mantle convection are analyzed with volume rendering of the temperature field and a new critical point analysis of the velocity field. As the Rayleigh number Ra is increased the thermal field develops increasingly thin plume-like structures along which heat is convected. These eventually break down and become turbulent. visualization methods are used to distinguish between various models of heat conductivity and to develop an intuitive understanding of the structure of the flow.

关键词： mantle convection feature extraction volume rendering critical points unsteady flow plumes

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On the use of metaballs to visually map source code structures and analysis results onto 3D space

On the use of metaballs to visually map source code structur...

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Working conference on Reverse Engineering

作者： J. Rilling S.P. Mudur Department of Computer Science Concordia University Canada

Many reverse-engineering tools have been developed to derive abstract representations from existing source code. Graphic visuals derived from reverse engineered source code have long been recognized for their impact on improving the comprehensibility of the structural and behavioral aspects of software systems and their source code. As programs become more complex and larger, the sheer volume of information to be comprehended by developers becomes daunting. In this paper, we combine dynamic source analysis to selectively identify source code that is relevant at any point and combine it with 3D visualization techniques to reverse engineer and analyze source code, program executions, and program structures. For this research, we focus particularly on the use of metaballs, a 3D modeling technique that has already found extensive use representing complex organic shapes and structural relationships in biology and chemistry, to provide suitable 3D visual representations for software systems.

关键词： Software systems Reverse engineering data visualization Biological system modeling Computer science Computer graphics Shape Systems biology Computational biology Chemistry

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