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11th International conference of the International-Society-for-Scientometrics-and-Informetrics

作者： LaRowe, Gavin Ambre, Sumeet Burgoon, John Ke, Weimao Boerner, Katy Indiana Univ Sch Lib & Informat Sci 10th St & Jordan Ave Bloomington IN 47405 USA

The Scholarly database (SDB) at Indiana University aims to serve researchers and practitioners interested in the analysis, modeling, and visualization of large-scale scholarly datasets. This database focuses on supporting large studies of changes in science over time and communicating findings via knowledge-domain visualizations. The database currently provides access to around 18 million publications, patents, and grants, ten percent of which contain full-text abstracts. Except for some datasets with restricted access conditions, the data can be retrieved in raw or pre-processed format using either a web-based or relational database client. This paper motivates the need for the database from bibliometric and scientometric perspectives (Cronin & Atkins, 2000;White & McCain, 1989). It explains the database design, setup, and interfaces as well as the temporal, geographical, and topic coverage of datasets currently served. Planned work and the potential for this database to become a global test bed for information science research are discussed.

关键词： research database geospatial coverage data integration mapping science

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Parallel Rough Set: Dimensionality Reduction and Feature Discovery of Multi-dimensional data in visualization

Parallel Rough Set: Dimensionality Reduction and Feature Dis...

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18th International conference on Neural Information Processing (ICONIP)

作者： Huang, Tze-Haw Huang, Mao Lin Jin, Jesse S. Univ Technol Sydney Sch Software Sydney NSW 2007 Australia Univ Newcastle Sch Design Commun & Informat Technol Newcastle NSW 2308 Australia

ISBN: (纸本)9783642249570;9783642249587

Attempt to visualize high dimensional datasets typically encounter over plotting and decline in visual comprehension that makes the knowledge discovery and feature subset analysis difficult. Hence, reshaping the datasets using dimensionality reduction technique is paramount by removing the superfluous attributes to improve visual analytics. In this work, we applied rough set theory as dimensionality reduction and feature selection methods on visualization to facilitate knowledge discovery of multi-dimensional datasets. We provided the case study using real datasets and comparison against other methods to demonstrate the effectiveness of our approach.

关键词： Dimensionality Reduction Rough Set Theory Feature Selection Knowledge Discovery Parallel Coordinate Visual Analytics

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The Change of Urban Population Spatial Structure of Nanjing, 1982-2007 Based on ESDA, Density Function and GIS

The Change of Urban Population Spatial Structure of Nanjing,...

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18th International conference on Geoinformatics

作者： Ma, Guoqiang Zhang, Zhenlong Nanjing Univ Sch Geog & Oceanog Sci Nanjing 210008 Peoples R China Suzhou Univ Sci & Technol Sch Architecture & Urban Planning Suzhou Peoples R China

ISBN: (纸本)9781424473021

The study of urban spatial structure has long been of interest to those concerned with urban studies and spatial data analysis. Urban population spatial structure is an important component of urban spatial structure. This paper explores the change of urban population structure based on methods of exploring spatial data analysis (ESDA), population density function, and GIS and aims to discover the features and change of urban population structure of Nanjing City sine 1980'. The paper organizes as three sections. In the first section, we reviewed the methods of the urban population spatial structure. The sub-centre of a city as an important indicator of urban spatial structure is often identified using threshold value, ESDA and population density function based on GIS technology. In the second section, we analyzed the features and change of urban population spatial structure using the methods reviewed above. Firstly, we pictured the features of urban population spatial structure using threshold value and GIS. Secondly, we carried out an ESDA on population density in order to identify possible population patterns of spatial heterogeneity and spatial autocorrelation in the study area. Next, we validated the result of ESDA using population density function. The third section summarized the key findings in this paper. The application of this procedure showed that the pattern of population structure of Nanjing City was single center in 1982;sub-center distribution appeared in 1990;and the pattern of sub-center strengthened in 2000. The multi-centric distribution of urban population was discovered through the ESDA analysis in 2007. In addition, through the modeling of urban population density, the polycentric population density function has been found to perform better than the mono-centric one, which demonstrated that the polycentric pattern of population density distribution has being emerged in Nanjing City during the period from 1982 to 2007.

关键词： Urban spatial structure Population GIS visualization ESDA Density function

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Visualizing personal networks: Working with participant-aided sociograms

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FIELD METHODS 2007年第2期19卷 116-144页

作者： Hogan, Bernie Carrasco, Juan Antonio Wellman, Barry Univ Toronto Dept Sociol Toronto ON M5S 1A1 Canada

We describe an interview-based data-collection procedure for social network analysis designed to aid gathering information about the people known by a respondent and reduce problems with data integrity and respondent burden. This procedure, a participant-aided network diagram (sociogram), is an extension of traditional name generators. Although such a diagram can be produced through computer-assisted programs for interviewing (CAPIs) and low technology (i.e., paper), we demonstrate both practical and methodological reasonsfor keeping high technology in the lab and low technology in the field. We provide some general heuristics that can reduce the time needed to complete a name generator We present findings from our Connected Lives field study to illustrate this procedure and compare to an alternative method for gathering network data.

关键词： social networks name generator qualitative methods visualization interviews

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Super-resolution video analysis for forensic investigations

Super-resolution video analysis for forensic investigations

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3rd International conference on Digital Forensics

作者： Gehani, Ashish Reif, John Comp Sci Lab Menlo Pk CA USA

ISBN: (纸本)9780387737416

Super-resolution algorithms typically improve the resolution of a video frame by mapping and performing signal processing operations on data from frames immediately preceding and immediately following the frame of interest. However, these algorithms ignore forensic considerations. In particular, the high-resolution video,evidence they produce could be challenged on the grounds that it incorporates data or artifacts that were not present in the original recording. This paper presents a super-resolution algorithm that differs from its counterparts in two important respects. First, it is explicitly parameterized, enabling forensic video analysts to tune it to yield higher quality in regions of interest at the cost of degraded quality in other regions. Second, the higher resolution output is only constructed in the final visualization step. This allows the intermediate refinement step to be repeatedly composed without tainting the original data.

关键词： video recordings super-resolution analysis parameterization

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Visual analysis of multidimensional data using fast MDS algorithm

Visual analysis of multidimensional data using fast MDS algo...

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conference on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007

作者： Pawliczek, Piotr Dzwinel, Witold AGH Univ Sci & Technol Inst Comp Sci Krakow Poland

ISBN: (纸本)9780819471246

We discuss here an improved multidimensional scaling (MDS) algorithm allowing for fast and accurate visualization of multidimensional clusters. Unlike in traditional approaches we use a natural heuristics - N-body solver - for extracting the global minimum of the multidimensional, multimodal and nonlinear "stress function". As was shown earlier, the method is very reliable avoiding stuck the solver in local minima. We focus on decreasing the time complexity of the algorithm from Omega(N-2) to O(N-2) by eliminating from computations most of distances, which are irrelevant in reproducing the real cluster structure in low dimensional spaces. This way we can speed up MDS algorithm significantly (even in order of magnitude for large datasets) allowing for interactive immersion into the data by immediate on-screen manipulation on different data representations.

关键词： multidimensional scaling data mining virtual particles time complexity reduction

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A new application for displaying and fusing multimodal data sets

A new application for displaying and fusing multimodal data ...

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conference on Multimodal Biomedical Imaging II

作者： Baum, Karl G. Helguera, Maria Krol, Andrzej Rochester Inst Technol 54 Lomb Mem Dr Rochester NY 14623 USA SUNY Upstate Med Univ Syracuse NY 13210 USA KGB Technol West Henrietta NY 14586 USA

ISBN: (纸本)9780819465443

A recently developed, freely available, application specifically designed for the visualization of multimodal data sets is presented. The application allows multiple 3D data sets such as CT (x-ray computer tomography), MRI (magnetic resonance imaging), PET (positron emission tomography), and SPECT (single photon emission tomography) of the same subject to be viewed simultaneously. This is done by maintaining synchronization of the spatial location viewed within all modalities, and by providing fused views of the data where multiple data sets are displayed as a single volume. Different options for the fused views are provided by plug-ins. Plug-ins typically used include color-overlays and interlacing, but more complex plug-ins such as those based on different color spaces, and component analysis techniques are also supported. Corrections for resolution differences and user preference of contrast and brightness are made. Pre-defined and custom color tables can be used to enhance the viewing experience. In addition to these essential capabilities, multiple options are provided for mapping 16-bit data sets onto an 8-bit display, including windowing, automatically and dynamically defined tone transfer functions, and histogram based techniques. The 3D data sets can be viewed not only as a stack of images, but also as the preferred three orthogonal cross sections through the volume. More advanced volumetric displays of both individual data sets and fused views are also provided. This includes the common MIP (maximum intensity projection) both with and without depth correction for both individual data sets and multimodal data sets created using a fusion plug-in.

关键词： multimodal visualization fusion software biomedical dynamic range display medical imaging

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6th Australasian data Mining conference, AusDM 2007

6th Australasian Data Mining Conference, AusDM 2007

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6th Australasian data Mining conference, AusDM 2007

ISBN: (纸本)9781920682514

This proceedings contains 26 papers. data mining and analytics today have advanced rapidly from the early days of pattern finding in commercial databases. They are now a core part of business intelligence and inform decision-making in many areas of human endeavor including science, business, health care and security. Mining of unstructured text, semi-structured web information and multimedia data have continued to receive attention, as have professional challenges to using data mining in industry. Accepted submissions have been grouped into seven sessions reflecting these application areas. Papers published in this conference are categorized under topics such as Industry data Mining, Text Mining, Unsupervised Learning, Association Rule and Frequent Pattern Mining, Financial and Policing/Security data Mining, Algorithms, data Mining Education. The key terms of this proceedings include Audits, business controls, fraud and abuse, customer analytics, industry analytics, data mining effectiveness, analytics projects management, analytics industry case studies, corporate insolvency prediction, logistic regression, random forests, medical and health data mining, blogs, weblogs, Blog06, TREC, opinion detection, opinion identification, self-organizing maps, cluster analysis, neural network, imbalanced data, drill-down, visualization, data mining, soil profiles, agriculture time series, clustering, subsequence-time series clustering, data linkage, data matching, deduplication, entity resolution, clustering, support vector machines, quality measures.

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Simulation and visualization of menisci-fenur contact using patient-specific deformable models

Simulation and visualization of menisci-fenur contact using ...

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7th IEEE International conference on Bioinformatics and Bioengineering, BIBE

作者： Zhu, Ying Department of Computer Science Georgia State University

ISBN: (纸本)1424415098

Computational modeling and simulation of knee joint can help expand our understanding of the knee biomechanics, and thus improve orthopedic practice. Although many computational knee models have been developed, very few of them include a deformable menisci model. In addition, patient specific modeling and simulation are still not widely adopted, although they are shown to be more effective than generic modeling. In this paper, we present two new methods for simulating and visualizing menisci-femur contact area during gait cycles, using patient-specific knee models and motion data. Specifically we propose a new template based 3D model reconstruction method that generates patient-specific knee models from medical images. We also propose a new deformable menisci model that combines physics-based deformation and spatial deformation, making it easier for users to balance the physical realism and performance needs. These new methods will benefit knee biomechanical analysis as well as interactive orthopedic surgery planning and training. ©2007 IEEE.

关键词： visualization

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Flow visualization and Image analysis

Flow Visualization and Image Analysis

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2007年

作者： F T Nieuwstadt

ISBN: (纸本)9780792319948

Progress in fluid mechanics depends heavily on the availability of good experimental data which can inspire new ideas and concepts but which are also necessary to check and validate theories and numerical calculations. With the advent of new recording and image analysis techniques new and promising experimental methods in fluid flows have presented themselves which are rather newly developed techniques such as particle tracking velocimetry (PTV), particle image velocimetry (PIV) and laser fluorescene (LIF). This volume presents state-of-the-art research on these techniques and their application to fluid flow. Selected papers from the EUROMECH conference on Image analysis are published in this volume.

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