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2006 7th International Baltic conference on databases and Information Systems

作者： Messaoud, Riadh Ben Boussaid, Omar Rabaséda, Sabine Loudcher Laboratory ERIC University of Lyon 2 5 avenue Pierre Mendès-France 69676 Bron Cedex France

ISBN: (纸本)1424403456

On Line Analytical Processing (OLAP) is a technology basically created to explore data cubes and detect relevant information. Unfortunately, in huge and sparse data volumes, exploration becomes a tedious task. In such a case, simple user's intuition or experience does not always lead to efficient results. In this paper, we propose to exploit the Multiple Correspondence analysis (MCA) in order to assist exploration of cubes by enhancing their space representations. MCA is a factorial method that maps associations of huge number of categorical variables and displays them within an appropriate space representation. Our approach uses test-values provided by MCA in order to detect and arrange OLAP facts in a large and sparse data cube within an interesting visual effect which gathers full cells in relevant regions and separates them from empty cells. Thus, it is possible to focus analysis on interesting facts by browsing directly the provided regions in the data cube. © 2006 IEEE.

关键词： data reduction

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Toward a multi-analyst, collaborative framework for visual analytics

Toward a multi-analyst, collaborative framework for visual a...

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IEEE Symposium on visual Analytics Science and Technology

作者： Brennan, Susan E. Mueller, Klaus Zelinsky, Greg Ramakrishnan, I. V. Warren, David S. Kaufman, Arie SUNY Stony Brook Stony Brook NY 11794 USA

ISBN: (纸本)1424405912

We describe a framework for the display of complex, multidimensional data, designed to facilitate exploration, analysis, and collaboration among multiple analysts. This framework aims to support human collaboration by making it easier to share representations, to translate from one point of view to another, to explain arguments, to update conclusions when underlying assumptions change, and to justify or account for decisions or actions. Multidimensional visualization techniques are used with interactive. context-sensitive, and tunable graphs. visual representations are flexibly generated using a knowledge representation scheme based on annotated logic;this enables not only tracking and fusing different viewpoints, but also unpacking them. Fusing representations supports the creation of multidimensional meta-displays as well as the translation or mapping from one point of view to another. At the same time, analysts also need to be able to unpack one another's complex chains of reasoning, especially if they have reached different conclusions. and to determine the implications, if any, when underlying assumptions or evidence turn out to be false. The framework enables us to support a variety of scenarios as well as to systematically generate and test experimental hypotheses about the impact of different kinds of visual representations upon interactive collaboration by teams of distributed analysts.

关键词： visual Analytics collaborative and distributed visualization data management and knowledge representation visual knowledge discovery

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Balancing systematic and flexible exploration of social networks

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IEEE TRANSACTIONS ON visualIZATION AND COMPUTER GRAPHICS 2006年第5期12卷 693-700页

作者： Perer, Adam Shneiderman, Ben Univ Maryland Dept Comp Sci College Pk MD 20742 USA

Social network analysis (SNA) has emerged as a powerful method for understanding the importance of relationships in networks. However, interactive exploration of networks is currently challenging because: (1) it is difficult to find patterns and comprehend the structure of networks with many nodes and links, and (2) current systems are often a medley of statistical methods and overwhelming visual output which leaves many analysts uncertain about how to explore in an orderly manner. This results in exploration that is largely opportunistic. Our contributions are techniques to help structural analysts understand social networks more effectively. We present SocialAction, a system that uses attribute ranking and coordinated views to help users systematically examine numerous SNA measures. Users can (1) flexibly iterate through visualizations of measures to gain an overview, filter nodes, and find outliers, (2) aggregate networks using link structure, find cohesive subgroups, and focus on communities of interest, and (3) untangle networks by viewing different link types separately, or find patterns across different link types using a matrix overview. For each operation, a stable node layout is maintained in the network visualization so users can make comparisons. SocialAction offers analysts a strategy beyond opportunism, as it provides systematic, yet flexible, techniques for exploring social networks.

关键词： social networks interactive graph visualization attribute ranking coordinated views exploratory data analysis

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Content-based text mapping using multi-dimensional projections for exploration of document collections

Content-based text mapping using multi-dimensional projectio...

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conference on visualization and data analysis 2006

作者： Minghim, Rosane Paulovich, Fernando Vieira Andrade Lopes, Alneu de Inst Ciencias Matemat & Comp CP 668 BR-13560970 Sao Carlos SP Brazil

ISBN: (纸本)0819461008

This paper presents a technique for generation of maps of documents targeted at placing similar documents in the same neighborhood. As a result. besides being able to group (and separate) documents by their contents. it runs at very manageable computational costs. Based oil multi-dimensional projection techniques and;ill algorithm for projection improvement. it results in a surface map that allows the user to identify a number of important relationships between documents and sub-groups of documents via visualization and interaction. visual attributes such as height. color. isolines and glyphs its well as aural attributes (such as pitch), help add dimensions for integrated visual analysis. exploration and narrowing of focus can be performed using a set of tools provided. This novel text mapping technique, named IDMAP (Interactive Document Map), is fully described in this paper. Results are compared with dimensionality reduction and cluster techniques for the same purposes. The maps are hound to support a large number of applications that rely oil retrieval and examination of document collections and to complement the type of information offered by current knowledge domain visualizations.

关键词： text visualization document mapping domain knowledge visualization multi-dimensional projection IDMAP

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Semantic image browser: Bridging information visualization with automated intelligent image analysis

Semantic image browser: Bridging information visualization w...

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IEEE Symposium on visual Analytics Science and Technology

作者： Yang, Jing Fan, Jianping Hubball, Daniel Gao, Yuli Luo, Hangzai Ribarsky, William Ward, Matthew Univ N Carolina Dept Comp Sci Charlotte NC 28223 USA Worcester Polytechnic Inst Dept Comp Sci Worcester MA USA

ISBN: (纸本)1424405912

Browsing and retrieving images from large image collections are becoming common and important activities. Recent semantic image analysis techniques, which automatically detect high level semantic contents of images for annotation, are promising solutions toward this problem. However, few efforts have been made to convey the annotation results to users in an intuitive manner to enable effective image browsing and retrieval. There is also a lack of methods to monitor and evaluate the automatic image analysis algorithms due to the high dimensional nature of image data, features, and contents. In this paper, we propose a novel, scalable semantic image browser by applying existing information visualization techniques to semantic image analysis. This browser not only allows users to effectively browse and search in large image databases according to the semantic content of images, but also allows analysts to evaluate their annotation process through interactive visual exploration. The major visualization components of this browser are Multi-Dimensional Scaling (MDS) based image layout, the Value and Relation (VaR) display that allows effective high dimensional visualization without dimension reduction, and a rich set of interaction tools such as search by sample images and content relationship detection. Our preliminary user study showed that the browser was easy to use and understand, and effective in supporting image browsing and retrieval tasks.

关键词： image retrieval image layout semantic image classification multi-dimensional visualization visual analytics

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I²DEE:: An integrated and interactive data exploration environment used for ontology design

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15th International conference on Managing Knowledge in an World of Networks

作者： Jalabert, Fabien Ranwez, Sylvie Derozier, Vincent Crampes, Michel LGI2P Res Ctr EMA Site EERIE F-30035 Nimes 1 France

ISBN: (纸本)3540463631

Many communities need to organize and structure data to improve their utilization and sharing. Much research has been focused on this problem. Many solutions are based on a Terminological and Ontological Resource (TOR) which represents the domain knowledge for a given application. However TORs are often designed without taking into account heterogeneous data from specific resources. For example, in the biomedical domain, these sources may be medical reports, bibliographical resources or biological data extracted from GOA, Gene Ontology or KEGG. This paper presents an integrated visual environment for knowledge engineering. It integrates heterogeneous data from domain databases. Relevant concepts and relations are thus extracted from data resources, using several analysis and treatment processes. The resulting ontology embryo is visualized through a user friendly adaptive interface displaying a knowledge map. The experiments and evaluations dealt with in this paper concern biological data.

关键词： Knowledge based systems

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Navigation techniques for large-scale astronomical exploration

Navigation techniques for large-scale astronomical explorati...

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conference on visualization and data analysis 2006

作者： Fu, Chi-Wing Hanson, Andrew J. Wernert, Eric A. Hong Kong Univ Sci & Technol Hong Kong Hong Kong Peoples R China Indiana Univ Bloomington IN 47405 USA

ISBN: (纸本)0819461008

Navigating effectively in virtual environments at human scales is a difficult problem. However, it is even more difficult to navigate in large-scale virtual environments such as those simulating the physical Universe: the huge spatial range of astronomical simulations and the dominance of empty space make it hard for users to acquire reliable spatial knowledge of astronomical contexts. This paper introduces a careful combination of navigation and visualization techniques to resolve the unique problems of large-scale real-time exploration in terms of travel and wayfinding. For large-scale travel, spatial scaling techniques and constrained navigation manifold methods are adapted to the large spatial scales of the virtual Universe. We facilitate large-scale wayfinding and context awareness using visual cues such as power-of-10 reference cubes. continuous exponential zooming into points of interest. and a scalable world-in-miniature (WIM) map. These methods enable more effective exploration and assist with accurate context-model building, thus leading to improved understanding of virtual worlds in the context of large-scale astronomy.

关键词： virtual environments astronomy interaction techniques

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Integration of GIS and educational achievement data for education policy analysis and decision-making 06

Integration of GIS and educational achievement data for educ...

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7th Annual International conference on Digital Government Research, Dg.o 2006

作者： Mulvenon, Sean W. Wang, Kening McKenzie, Sarah Airola, Denise Anderson, Travis National Office for Research Measurement and Evaluation Systems University of Arkansas Fayetteville AR

Effective exploration and analysis of spatially referenced educational achievement data can help educational stakeholders and policy analysts accelerate interpretation of datasets to gain valuable insights. This demonstration will present a system developed in the National Office for Research on Measurement and Evaluation Systems (NORMES) for supporting web-based interactive exploration of state-wide educational data. The statewide statistical summaries are presented in thematic maps generated by Geographic Information System (GIS). visual analysis of the thematic maps can help educational policy analysts to "see" complex spatial relationships and to detect patterns easily. Linking among GIS maps allows educators to interactively "drill down" through a hierarchy of geopolitical levels and to visualize statistical graphics and tables which are dynamically generated using Hypertext Preprocessor (PHP) script language. Through building up the relationships between maps, graphs, and databases, this interactive system allows administrators to gain an enhanced understanding of what is occurring in schools, and allow the policy analysts to generate more accurate and effective policy decisions.

关键词： Geographic information systems

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CENPES ii project reliability analysis

CENPES II project reliability analysis

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European Safety and Reliability conference (ESREL 2006)

作者： Calixto, E. Petrobras SA Rio De Janeiro Brazil

ISBN: (纸本)0415416205

The CENPES ii is a new research center which will give support to high technology implementation and development in onshore and offshore subjects as oil exploration, production and refine in Petrobras Company. In this research center will be located a Petrobras data center (CIPD) which requires a high availability level. The CENPES ii Project reliability analysis has as a mean objective to find out if CIPD and some importants laboratories will have a 99,99% of availability in 200000 hours as required in project. Therefore, some subsystem as electrical sub-system, natural gas, diesel oil, cooling and cold water will be analysed in terms of reliability, availability and maintainability to provide the required availability to CIPD and Laboratories. This Reliability analysis will take into consideration the subsystems and each critical equipment with it's failure and repair time to certified the availability required for this project. Buy this way, a failure and repair analysis, FMEA, diagram block and modeling, optimization and efficiency cost analysis will be done in this study case.

关键词： Reliability analysis

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TimeTree: Exploring time changing hierarchies

TimeTree: Exploring time changing hierarchies

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IEEE Symposium on visual Analytics Science and Technology

作者： Card, Stuart K. Suh, Bongwon Pendleton, Bryan A. Heer, Jeffrey Bodnar, John W. Palo Alto Res Ctr 3333 Coyote Hill Rd Palo Alto CA 94304 USA Univ Calif Berkeley Berkeley CA 94720 USA SAIC Mclean VA USA

ISBN: (纸本)1424405912

Intelligence analysis often involves the task of gathering information about an organization. Knowledge about individuals in an organization and their relationships, often represented as a hierarchical organization chart, is crucial for understanding the organization. However. it is difficult for intelligence analysts to follow all individuals in an organization. Existing hierarchy visualizations have largely focused on the visualization of fixed structures and can not effectively depict the evolution of a hierarchy over time, We introduce TimeTree, a novel visualization tool designed to enable exploration of a changing hierarchy. TimeTree enables analysts to navigate the history of an organization, identify events associated with a specific entity (visualized on a TimeSlider), and explore an aggregate view of an individual's career path (a Career-Tree). We demonstrate the utility of Time-Free by investigating a set of scenarios developed by an expert intelligence analyst. The scenarios are evaluated using a real dataset composed of eighteen thousand career events from more than eight thousand individuals. Insights gained from this analysis are presented.

关键词： TimeTree DOI Tree tree visualization organizational chart timeseries data visual analytics

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