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CIKM'05 - Proceedings of the 14th ACM International conference on Information and Knowledge Management

作者： Zhao, Kaidi Liu, Bing Tirpak, Thomas M. Xiao, Weimin Department of Computer Science University of Illinois at Chicago 851 S. Morgan Street Chicago IL 60607 United States Motorola Labs 1301 E. Algonquin Rd. Schaumburg IL 60196 United States

ISBN: (纸本)1595931406

data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interesting and actionable rules. Due to the subjective nature of "interestingness", human involvement in the analysis process is crucial. In this paper, we propose a novel visual data mining framework for the purpose of identifying actionable knowledge quickly and easily from discovered rules and data. This framework is called the Opportunity Map. It is inspired by some interesting ideas from Quality Engineering, in particular Quality Function Deployment (QFD) and the House of Quality. It associates summarized data or discovered rules with the application objective using an interactive matrix, which enables the user to quickly identify where the opportunities are. The proposed system can be used to visually analyze discovered rules, and other statistical properties of the data. The user can also interactively group actionable attributes and values, and see how they affect the targets of interest. Combined with drill-down and comparative analysis, the user can analyze rules and data at different levels of detail. The proposed visualization framework thus represents a systematic and yet flexible method of rule analysis. Applications of the system to large-scale data sets from our industrial partner have yielded promising results. Copyright 2005 ACM.

关键词： Knowledge engineering

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Choices for tissue visualization with IR micro spectroscopy

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VIBRATIONAL SPECTROSCOPY 2005年第1-2期38卷 133-141页

作者： Gough, K Rak, M Bookatz, A Del Bigio, M Mai, S Westaway, D Univ Manitoba Dept Chem Winnipeg MB R3T 2N2 Canada Univ Manitoba Dept Pathol Winnipeg MB R3E 0W3 Canada Univ Manitoba Manitoba Inst Cell Biol Winnipeg MB R3E 0V9 Canada Univ Toronto Ctr Res Neurodegenerat Dis Toronto ON M5S 3H2 Canada

In this paper, we address some of the issues associated with infrared (IR) imaging, with reference to our work on brain tissue from the TgCRND8 mouse, a transgenic model of Alzheimer's disease (AD). AD is the most common cause of dementia in the aging population. One of the characteristic hallmarks of this chronic neurodegenerative disorder is the accumulation of plaques in the brain, usually visualized with histochemistry and immunostaining. Although these methods are extremely useful, they illustrate only certain aspects of the sample, require a great amount of tissue processing, and are highly dependent on experimental protocols and reagent quality. IR imaging provides information on multiple components, with a minimal amount of sample processing. However, in order to interpret the data successfully, the issues of spectral acquisition parameters, pre-processing, and spectral artifacts need to be considered. The methods commonly used to process the data, such as uni- and bi-variate spectral analysis, and multivariate methods, such as hierarchical cluster analysis, and some issues concerning the use of second derivatives of IR spectra are discussed. (c) 2005 Elsevier B.V. All rights reserved.

关键词： infrared microspectroscopy Alzheimer's disease spectral data processing second derivative

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VADRE: A visual approach to performance analysis of distributed, real-time systems

VADRE: A visual approach to performance analysis of distribu...

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International conference on Modeling, Simulation and visualization Methods (MSV 05)

作者： Harmon, T Klefstad, R Univ Calif Irvine Dept Elect Engn & Comp Sci Henry Samueli Sch Engn Irvine CA 92697 USA

ISBN: (纸本)193241570X

Distributed, real-time, and embedded (DRE) systems are becoming increasingly complex, and as a result, performance analysis of such systems is becoming increasingly difficult. Current profiling tools are ill-equipped to analyze DRE system performance, primarily due to the distributed nature of these systems. We have begun to address this problem by forging the first in a suite of tools that we call VADRE (va'dor): Visual analysis of Distributed, Real-time, and Embedded systems. Like a CAT scan for distributed systems, these tools will provide a simplified and highly visual means of inspecting and understanding a system's performance. To demonstrate the feasibility and potential benefits of VADRE, we have developed the first tool in the suite. Called Jango, it is specialized for the CORBA domain. It can automatically collect timing data from a CORBA-based distributed system and display a timeline of remote method calls. With input from the user, it can run a basic deadline checking algorithm, revealing precisely when and where a deadline is missed. This technique simplifies and quickens the process of testing a distributed system for adherence to real-time constraints. As a case study in validating the capabilities of Jango, we have applied it to a robotic DRE control system and discuss the results here.

关键词： Common object request broker architecture (CORBA)

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Developing military situation picture by spatial analysis and visualization

Developing military situation picture by spatial analysis an...

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10th Scandinavian Research conference on Geographical Information Sciences, ScanGIS 2005

作者： Janlöv, Matti Salonen, Tiia Seppänen, Hannes Virrantaus, Kirsi Helsinki University of Technology Department of Surveying Cartography and Geoinformatics PO Box 1200 Helsinki FIN-02015 Finland

ISBN: (纸本)9173231266

Terrain information and the knowledge derived from it are in important role in military situation awareness and the so-called situation picture. This article describes how geographic information, spatial analysis and visualization methods can be used in the specific military application. As the theoretical framework the OODA -loop has been used and we have shown how data is developed into information and knowledge and finally used in the decision phase. The project is funded by the Finnish Defence Forces and the motivation for this kind of research from FDF side is the situation in which all information systems are redefined and also a new platform for GIS-applications is taken into use. The research questions for us come from the efficiency of algorithms and usability of information as well as the requirements of fast and correct understanding of visualized information.

关键词： Spatial variables measurement

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Phase coherence theory for data-mining and analysis: Application studies in spectroscopy

Phase coherence theory for data-mining and analysis: Applica...

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Opto-Ireland 2005 conference

作者： Doyle, G McMillan, ND Murtagh, F O'Neill, M Riedel, S Perova, TS Unnikrishnan, S Moore, RA Inst Technol Carlow Carlow Ireland

ISBN: (纸本)0819458082

The paper investigates from the perspective of computer science the phase coherence theory (PCT) and phase coherent data-scatter (PCD-S). These techniques were originally developed for the area of optical tensiographic data mining and analysis but have a more general application in data mining. These developments have recently been augmented with the engineering of a software toolkit called TraceMiner. Although the toolkit was originally devised for tensiography it was developed to perform as a generic data mining and analysis application with PCT, PCD-S and a range of other data mining algorithms implemented. To date the toolkit has been utilised in its main application area, tensiography, but has also been applied to UV-visible spectroscopy. This work presents a critical investigation of the general utility of PCT, PCD-S and the toolkit for data mining and analysis. A new application of PCT and the TraceMiner software toolkit to Raman spectroscopy is presented with discussion of the relevant measures and the information provided by the toolkit. This provides more insight into the generic potential of the techniques for data mining. The analysis performed on theoretical Raman data is augmented with a study of experimental Raman data. Raman spectroscopy is used for composition and fault detection analysis in semiconductor surfaces. Finally, the utility of the PCT technique in comparison with traditional Raman spectroscopy methods is considered together with some more general applications in the field of imaging and machine vision.

关键词： Raman spectroscopy data mining data modeling visualization Spectroscopy Statistical analysis Computer science Semiconductors Algorithm development Software development

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Functional analysis of cardiac MR images using SPHARM modeling

Functional analysis of cardiac MR images using SPHARM modeli...

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Medical Imaging 2005 conference

作者： Huang, H Shen, L Ford, J Makedon, F Zhang, R Gao, L Pearlman, J Dartmouth Coll Dept Comp Sci DEVLA Hanover NH 03755 USA

ISBN: (纸本)0819457213

visualization and quantification of cardiac function can provide direct and reliable indicators of cardiac health. The heart's operation occurs in three dimensions, and is dependent on three dimensional forces and ventricular geometry making the observation of its shape important. Many approaches have been presented to extract cardiac shape and do functional analysis from a variety of imaging modalities. We apply a spherical harmonics (SPHARM) model to cardiac function analysis using magnetic resonance (MR) images. Our three dimensional SPHARM approach increases measurement accuracy over two dimensional approaches and also simplifies the management and indexing of clinical data by providing access to many important functional measures directly from the SPHARM representation.

关键词： medical image analysis cardiac MRI computer-aided diagnosis

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A finite difference time domain analysis of WLAN small disc antennas

A finite difference time domain analysis of WLAN small disc ...

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Twenty-Second National Radio Science conference 2005, NRSC 2005

作者： Abd-Eirazzak, M.M. Al-Nomay, Ibrahim S. IEEE

ISBN: (纸本)3905673207

In this paper, a rigorous analysis of probe-fed WLAN disc antennas is presented. At low microwave frequencies, these types of antennas have a quite large physical size. Two different techniques have been proposed to reduce the size of the conventional antenna. The first by using of a central cylindrical post while the second by using a double stacked circular patch antenna. With varying of the post radius, the upper patch radius, and the dielectric constants a significant reduction is achieved by more than 50 % in some cases. The finite difference time domain (FDTD) with the perfect matched layer (PML) is used in the present analysis. The obtained results are compared with available published data and good agreements are found.

关键词： Antennas

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Geovisualization of forest simulation modelling results: A case study of carbon sequestration and biodiversity

Geovisualization of forest simulation modelling results: A c...

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conference on Decision Support for Multiple Purpose Forestry

作者： Chertov, O Komarov, A Mikhailov, A Andrienko, G Andrienko, N Gatalsky, P St Petersburg State Univ Biol Res Inst St Petersburg Russia Russian Acad Sci Inst Phys Chem & Biol Problems Soil Sci Pushchino 142290 Russia Fraunhofer Inst Autonomous Intelligent Syst D-53754 St Augustin Germany

Sustainable forest management requires new tools to analyze spatial and temporal forest dynamics and to examine those forest parameters that are related to sustainability. We built a prototype system for data analysis and decision-making at forest enterprise level by integrating a forest ecosystem model EFIMOD-PRO, (long-term prediction of forest growth and soil development) with an interactive visualization system CommonGIS for analysis of spatially and temporally related data. Using the prototype, a case study in Central European Russia simulated four silvicultural regimes over 200 years: natural development, selective forestry, legal forestry according to the Russian forestry legislation, and illegal forest practice. Exploratory analysis of the simulation results demonstrated that (1) natural stand development is the best alternative for carbon sequestration;(2) legal forest management is the best regime for timber production;(3). selective forestry combines the advantages of two previous strategies, and can be the best strategy for implementing sustainable forest management;and (4) illegal forest practices lead to a fast decrease in forest productivity and decreasing biodiversity. Interactive and dynamic visualizations With maps and statistical graphics played a crucial role in data cleaning, model validation, and analysis of simulation results. The case study demonstrated the potential of integrating forest ecosystem models with exploratory data visualization for the analysis and expert evaluation at the local level. The prototype can be used to present ecological and silvicultural consequences of various management practices to stakeholders and differing social groups, thus stimulating effective decision-making for sustainable forestry. (c) 2005 Elsevier B.V. All rights reserved.

关键词： simulation modelling silvicultural strategies geovisualization exploratory spatial data analysis

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***: A web-based system for well logging publication, analyzing, and visualization

***: A web-based system for well logging publication, analyz...

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Annual conference of the International-Association-for-Mathematical-Geology

作者： Li, QM York Univ Dept Earth & Space Sci & Engn Toronto ON M3J 1P3 Canada

ISBN: (纸本)0973422017

Well-logging data is the borehole observation of geophysical, geochemical, hydrological, and geological properties. It has been widely used in basin analysis, oil, gas & mineral exploration, hydrology, and environment evaluation or monitoring. The public, government, and companies have difficulty to find, access, process, and visualize them effectively as more and more well-logging data has been amassed.

关键词： Well logging

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ACM SIGGRAPH 2005 Posters, SIGGRAPH 2005

ACM SIGGRAPH 2005 Posters, SIGGRAPH 2005

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International conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2005

The proceedings contain 135 papers and 1 PowerPoint presentation. The topics discussed include: discovering biostructure constraints using VRML visualization;multi-scale and multi-physics visualization;modeling the fluffy lens: construction of the virtual chinchilla;an explorational exhibit of a pig's heart;robust automatic optic disk segmentation;3-D cancer cell visualization for patients and scientists;emphasizing the area of interest using real-time shaders;visualization of large ISO-surfaces based on nested clip-boxes;using 3D visualization to enhance understanding of computer network state;automatic cross-sectioning using 3D field topology analysis;particles with a history - visualizing flow fields with GPU-based streamlines;advanced data visualization on 3D accelerated PDA's;a 3D graphics toolkit for studying neural basis of adaptive behaviors;a partial shape matching technique for 3D model retrieval systems;and realtime loop subdivision on the GPU.

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