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IEEE Symposium on Information visualization (INFOVIS)

作者： M. Derthick S.F. Roth J. Kolojejchick Carnegie Mellon University Robotics Institute USA

Interactive visualization techniques allow data exploration to be a continuous process, rather than a discrete sequence of queries and results as in traditional database systems. However limitations in expressive power of current visualization systems force users to go outside the system and form a new dataset in order to perform certain operations, such as those involving the relationship among multiple objects. Further, there is no support for integrating data from the new dataset into previous visualizations, so users must recreate them. Visage's information centric paradigm provides an architectural hook for linking data across multiple queries, removing this overhead. This paper describes the addition to Visage of a visual query language, called VQE, which allows users to express more complicated queries than in previous interactive visualization systems. visualizations can be created from queries and vice versa. When either is updated, the other changes to maintain consistency.

关键词： data visualization database systems visual databases Joining processes database languages data analysis Object oriented modeling Robot kinematics Feedback User interfaces

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data mining and knowledge discovery in databases: implications for scientific databases

Data mining and knowledge discovery in databases: implicatio...

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International Working conference on Scientific and Statistical database Management

作者： U. Fayyad One Microsoft Way Microsoft Research Limited Redmond WA USA

data mining and knowledge discovery in databases (KDD) promise to play an important role in the way people interact with databases, especially scientific databases where analysis and exploration operations are essential. The author defines the basic notions in data mining and KDD, defines the goals, presents motivation, and gives a high-level definition of the KDD process and how it relates to data mining. The author then focuses on data mining methods. Basic coverage of a sampling of methods is provided to illustrate the methods and how they are used. The author covers a case study of a successful application in science data analysis: the classification of cataloging of a major astronomy sky survey covering 2 billion objects in the northern sky. The system can outperform human as well as classical computational analysis tools in astronomy on the task of recognizing faint stars and galaxies. The author also covers the problem of scaling a clustering problem to a large catalog database of billions of objects.

关键词： data mining Aggregates data analysis visual databases Astronomy data visualization Sampling methods Humans Statistics Pattern recognition

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AUSTRALIS: A microbeam AMS beamline

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AIP conference Proceedings 1997年第1期392卷 779-782页

作者： Th. R. Niklaus S. H. Sie G. F. Suter Heavy Ion Analytical Facility CSIRO Exploration and Mining P.O. Box 136 North Ryde NSW 2113 Australia

The AUSTRALIS (AMS for Ultra Sensitive TRAce eLement and Isotopic Studies) system being developed at the HIAF laboratory is a microbeam AMS system designed for in-situ micro-analysis of geological samples for ultra-trace and isotopic data. This enables analysis of microscopic geological samples or micro-features of minerals. AMS has only minor mass interference problems and together with the high sensitivity of AMS, AUSTRALIS opens the way for many interesting applications. AUSTRALIS is based on a standard AMS design and enhanced by some unique design features. The primary ion beam gun (modified HICONEX source) produces a microbeam of Cs+ as small as 30 microns in diameter. The sample chamber features an efficient sample viewing system with viewing angle normal to the sample, that enables live observation of the sputtering process and visual tuning of the microbeam. In order to achieve the high precision required for isotopic ratios in geochronological applications of AMS, a fast isotope switching system has been implemented.

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The STARLIGHT information visualization system

The STARLIGHT information visualization system

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International conference on Information visualisation (iv)

作者： J.S. Risch D.B. Rex S.T. Dowson T.B. Walters R.A. May B.D. Moon Pacific Northwest National Laboratory Richland WA USA

STARLIGHT is an example of a new class of information system expressly designed around visualization-oriented user-interface. Incorporating more traditional information storage and retrieval technologies into its design, the STARLIGHT system also enables the integrated use of multiple, concurrent visualization techniques to support comparison of content and interrelationship information levels of abstraction simultaneously. This powerful new form of information analysis eases cognitive workloads by providing a visual context for the information under study. Originally developed for intelligence analysis applications, the STARLIGHT software is intended to support the rapid, concurrent analysis of complex multimedia information, including structured and unstructured text, geographic information, and digital imagery. The system uses novel 3-D visualization techniques that interactively generate easily understandable representations of explicit and implicit relationships contained in information collections of various types. This paper describes the general theory behind our approach, and the design and features of a Windows NT-based operational system.

关键词： Information analysis Intelligent structures Image analysis Failure analysis data visualization Moon Laboratories Hip Identity-based encryption Performance analysis

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DNA visual and analytic data mining

DNA visual and analytic data mining

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IEEE conference on visualization

作者： P. Hoffman G. Grinstein K. Marx I. Grosse E. Stanley Institute for Visualization and Perception ResearchDepartment of Computer Science University of Massachusetts Lowell Lowell MA USA Center for Intelligent BiomaterialsDepartment of Chemistry University of Massachusetts Lowell Lowell MA USA Center for Polymer Studies and Department of Physics Boston University Boston MA USA

Describes data exploration techniques designed to classify DNA sequences. Several visualization and data mining techniques were used to validate and attempt to discover new methods for distinguishing coding DNA sequences (exons) from non-coding DNA sequences (introns). The goal of the data mining was to see whether some other, possibly non-linear combination of the fundamental position-dependent DNA nucleotide frequency values could be a better predictor than the AMI (average mutual information). We tried many different classification techniques including rule-based classifiers and neural networks. We also used visualization of both the original data and the results of the data mining to help verify patterns and to understand the distinction between the different types of data and classifications. In particular, the visualization helped us develop refinements to neural network classifiers, which have accuracies as high as any known method. Finally, we discuss the interactions between visualization and data mining and suggest an integrated approach.

关键词： DNA data analysis data mining Sequences data visualization Neural networks Biological cells Frequency Organisms Proteins

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Graphical user interfaces for heterogeneous distributed systems

Graphical user interfaces for heterogeneous distributed syst...

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conference on visual data exploration and analysis III

作者： Brinkschulte, U Siormanolakis, M Vogelsang, H UNIV KARLSRUHE INST MICROCOMP & AUTOMATD-76131 KARLSRUHEGERMANY

ISBN: (纸本)0819420301

In modern object-oriented computer systems the internal state of the entire system consists of the internal states of many objects, probably distributed over a heterogeneous network of computers. The man machine interaction in such an application is based on the visualization of states on one hand and the modification of states in combination with event generation on the other hand. This paper describes concept and realization of a reusable service for general man machine communication.

关键词： graphical user interface data visualization service object-oriented service

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visualization and interactive analysis of multidimensional image data

Visualization and interactive analysis of multidimensional i...

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conference on visual data exploration and analysis III

作者： Cetin, H MURRAY STATE UNIV MID AMER REMOTE SENSING CTRMURRAYKY 42071

ISBN: (纸本)0819420301

This paper reviews the results of multidimensional image analysis and visualization studies using n-dimensional Probability Density Functions (nPDF) algorithm. The nPDF technique is an approach to the visualization and analysis of multispectral data and overcomes many of the problems inherent to traditional classifiers that rely on purely statistical approaches to describe data and class (or training field) distribution. A graphical method, in conjunction with statistical techniques, has the advantage of providing a multidimensional data distribution and may be used for supervised and unsupervised classifications. The approach is particularly useful for comparing training data with the spectral classes present in the entire data set. Compared to the conventional statistical classifiers, the nPDF procedure is extremely fast and user-interactive. The approach relies on data visualization techniques and displays data and class distribution graphically. In this paper, a review of the theory and applications of the technique are given. The data processing procedure for supervised and unsupervised classifications using the interactive nPDF method and comparison of the nPDF technique with the traditional algorithms are also discussed.

关键词： Probability Density Functions visualization enhancement classification image processing

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Building assessment with sub-pixel accuracy using satellite imagery

Building assessment with sub-pixel accuracy using satellite ...

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conference on visual data exploration and analysis III

作者： Meng, J Davenport, M MACDONALD DETTWILER & ASSOCIATES LTD RICHMONDBC V6V 2J3CANADA

ISBN: (纸本)0819420301

This paper describes a semi-automated building assessment method (SABAM) for estimating building edges with sub-pixel accuracy. The semi-automated approach is based on an earlier manual point method which determined building height using shadow length analysis. The manual method was then semi-automated using a sub-pixel edge detection algorithm to obtain more precise building edges and reduce human interpretation. Edge locations have been evaluated to within 1/100th of a pixel using gradient descent.

关键词： building analysis sub-pixel accuracy satellite imagery shadow analysis

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Applying public access programming techniques to astronomical image display

Applying public access programming techniques to astronomica...

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conference on visual data exploration and analysis III

作者： Mandel, E SMITHSONIAN ASTROPHYS OBSERV CAMBRIDGEMA 02138

ISBN: (纸本)0819420301

The X Public Access (XPA) mechanism allows an Xt program to define named public access points through which data and commands can be exchanged with other programs. We will discuss our design goals for XPA, the technical challenges we faced--including extensions to the Xt selection implementation--and the user interface and application programming interface that we developed to meet these challenges. We also will describe our application of XPA to a new version of the popular SAOimage astronomical image display program. XPA makes possible external control of the program's main function, including image display, image zoom and pan, colormap manipulation, cursor/region definition, and frame selection. It also supports `public access' to internal algorithms such as image file access and scaling. Finally, we will describe how XPA is used to support user-configurable analysis of image data and bi- directional communication with other processes.

关键词： Astronomy Image display Computer programming Image compression Human-machine interfaces Image processing Software development Analytical research Image analysis Zoom lenses

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Exploratory visualization of migration flows

Exploratory visualization of migration flows

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conference on visual data exploration and analysis III

作者： Liu, L UNIV NEW ORLEANS DEPT GEOGNEW ORLEANSLA 70148

ISBN: (纸本)0819420301

Regional difference of the society creates movement of people across regions. Conventionally, an interregional migration data set is stored as an origin-destination (O-D) matrix, which has one row for each flow origin and one column for each destination. For example, interregional migration data within fifty states of United States generates a 50 by 50 O-D matrix, and an O- D matrix for county to county migration would have more than 3100 rows and columns. Studying these complex migration flow systems has always been challenging to scientists. This paper reports a methodology that combines scientific visualization, exploratory data analysis, dynamic graphics and projection pursuit methods to explore these migration flow systems. First, a complex migration flow data set is simplified by using a projection pursuit method. These less complex data are then represented in four graphic views: a migration flow view showing direction and magnitude of migration, a choropleth view showing characteristics of O-D regions, a statistical view of flow variables, and a statistical view of O-D attribute variables. These four views are linked by using a dynamic brushing technique, which enables the researcher to explore the relationships between the four views. These relationships can then be used as the basis for understanding the migration flow system.

关键词： migration flows visualization exploratory data analysis dynamic graphics projection pursuit methods

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