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检索条件"任意字段=Conference on Visualization and Data Analysis 2005"

共 607 条记录，以下是31-40 订阅

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Combining metrics data and the structure of UML models using GIS visualization approaches

Combining metrics data and the structure of UML models using...

引用

International conference on Information Technology - Coding and Computing

作者： Lange, C Chaudron, M Eindhoven Univ Technol Dept Math & Comp Sci NL-5600 MB Eindhoven Netherlands

ISBN: (纸本)0769523153

UML models describe the structure and behavior of existing or future software systems. In addition to the UML model, developers consult metrics and other attribute data for evaluation and analysis purposes. In hitherto techniques attribute data and structural data in the diagrams of the UML model is split in different representations. For the process of evaluation of a system the attribute data must be combined with the structural data. Geographical information systems (G-IS) deploy visualization techniques to combine these different types of data. We propose a set of visualization techniques adopted from GIS to enrich UML models with attribute data. Advantages and examples of the visualizations are disussed, as well as limitations to the applicability. Especially the technique where colors represent attribute values of elements seems promising.

关键词： Computer programming languages

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Multi-faceted information retrieval system for large scale email archives 05

Multi-faceted information retrieval system for large scale e...

引用

IEEE/WIC/ACM International conference on Web Intelligence

作者： Perkiö, J Tuulos, V Buntine, W Tirri, H Helsinki Inst Informat Techol FIN-02015 Helsinki Finland

ISBN: (纸本)076952415X

We profile a system for search and analysis of large-scale email archives. The system builds around four facets: Content-based search engine, statistical topic model, automatically inferred social networks and time-series analysis. The facets correspond to the types of information available in email data. The presented system allows chaining or combining the facets flexibly. Results of one facet may be used as input to another yielding remarkable combinatorial power. In information retrieval point of view, the system provides support for exploration, approximate textual searches and data visualization. We present some experimental results based on a large real-world email corpus.

关键词： Information retrieval Large-scale systems Search engines data mining Social network services Information technology Power system modeling Time series analysis data visualization Web pages

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Identification of systematic yield limiters in complex asics through volume structural test fail data visualization and analysis

Identification of systematic yield limiters in complex asics...

引用

IEEE International Test conference, ITC 2005

作者： Schuermyer, C. Cota, K. Madge, R. Benware, B. LSI Logic Corporation 23400 NE Glisan Gresham OR 97030 United States

ISBN: (纸本)0780390393

Traditional yield analysis has been focused on wafer fabrication and process improvement and is generally limited to wafer level visualization. As products get more complex and design practices have more impact on yield, visualization of yield issues inside the chip becomes increasingly critical. This paper presents novel visualization and analysis of volume structural test fail data to aid in the identification of yield weaknesses through relative analysis of fail signatures. The results show that these methodologies can identify subtle process/design yield limiters which cannot be identified using traditional yield analysis methodologies. © 2005 IEEE.

关键词： Limiters

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Visual mining geo-related data using pixel bar charts

Visual mining geo-related data using pixel bar charts

引用

conference on visualization and data analysis 2005

作者： Hao, MC Keim, DA Dayal, U Wright, P Schneidewind, J Hewlett Packard Res Labs Palo Alto CA USA

ISBN: (纸本)081945642X

A common approach to analyze geo-related data is using bar charts or x-y plots. They are intuitive and easy to use. But important information often gets lost. In this paper, we introduce a new interactive visualization technique called Geo Pixel Bar Charts, which combines the advantages of Pixel Bar Charts and interactive maps. This technique allows analysts to visualize large amounts of spatial data without aggregation and shows the geographical regions corresponding to the spatial data attribute at the same time. In this paper, we apply Geo Pixel Bar Charts to visually mining sales transactions and Internet usage from different locations. Our experimental results show the effectiveness of this technique for providing data distribution and exceptions from the map.

关键词： visual mining multi-attribute maps pixel bar charts geo-related data

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Exploring causal influences

Exploring causal influences

引用

conference on visualization and data analysis 2005

作者： Neufeld, E Kristtorn, S Guan, QJ Sanscartier, M Ware, C Univ Saskatchewan Dept Comp Sci Saskatoon SK S7K 5A9 Canada

ISBN: (纸本)081945642X

Recent data mining techniques exploit patterns of statistical independence in multivariate data to make conjectures about cause/effect relationships. These relationships can be used to construct causal graphs, which are sometimes represented by weighted node-link diagrams, with nodes representing variables and combinations of weighted links and/or nodes showing the strength of causal relationships. We present an interactive visualization for causal graphs (ICGs), inspired in part by the Influence Explorer. The key principles of this visualization are as follows: Variables are represented with vertical bars attached to nodes in a graph. Direct manipulation of variables is achieved by sliding a variable value up and down, which reveals causality by producing instantaneous change in causally and/or probabilistically linked variables. This direct manipulation technique gives users the impression they are causally influencing the variables linked to the one they are manipulating. In this context, we demonstrate the subtle distinction between seeing and setting of variable values, and in an extended example, show how this visualization can help a user understand the relationships in a large variable set, and with some intuitions about the domain and a few basic concepts, quickly detect bugs in causal models constructed from these data mining techniques.

关键词： causality causal perception interactive causal graph visualization multivariate data

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Clustering-based method for data envelopment analysis

Clustering-based method for data envelopment analysis

引用

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

作者： Najadat, H Nygard, K Schesvold, D N Dakota State Univ Dept Comp Sci & Operat Res Fargo ND 58105 USA

ISBN: (纸本)193241570X

data Envelopment analysis (DEA) is a powerful performance measurement methodology for assessing the relative efficiency of decision making units (DMUs). There are two typical assumptions in DEA: (1) the DEA assumes that all DMUs are homogenous in their environments and (2) the DEA is deterministic and that leads to inaccurate efficiency assessment in the presence of outliers or unusual observations. Many investigations have dealt with DEA models but few have focused on heterogonous DMUs and on scalability over large datasets. In this paper, we present a new method for determining performance scores of non-homogenous DMUs using clustering methods for early detection of outliers. Experimental results show big improvements for our approach in assessing a funding transportation system for school districts in the state of North Dakota.

关键词： data envelopment analysis clustering analysis peer group outlier discovery decision making unit

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Interactive pattern search in time series

Interactive pattern search in time series

引用

conference on visualization and data analysis 2005

作者： Buono, P Aris, A Plaisant, C Khella, A Shneiderman, B Univ Bari Dipartimento Informat Bari Italy

ISBN: (纸本)081945642X

The need for pattern discovery in long time series data led researchers to develop algorithms for similarity search. Most of the literature about time series focuses on algorithms that index time series and bring the data into the main storage, thus providing fast information retrieval on large time series. This paper reviews the state of the art in visualizing time series, and focuses on techniques that enable users to visually and interactively query time series. Then, it presents TimeSearcher 2, a tool that enables users to explore multidimensional data using synchronized tables and graphs with overview+detail, filter the time series data to reduce the scope of the search, select an existing pattern to find similar occurrences, and interactively adjust similarity parameters to narrow the result set. This tool is an extension of previous work, TimeSearcher 1, which uses graphical timeboxes to interactively query time series data.

关键词： time series pattern search visual interaction information visualization dynamic queries

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Haptic visualization of computational fluid dynamics data using reactive forces

Haptic visualization of computational fluid dynamics data us...

引用

conference on visualization and data analysis 2005

作者： Lundin, K Sillén, M Cooper, M Ynnerman, A Norrkoping Visualizat & Interact Studio Norrkoping Sweden

ISBN: (纸本)081945642X

datasets from Computational Fluid Dynamics (CFD) can be post-processed and visualized to aid understanding of the flow phenomena present. visualization of CFD data, however, often suffers from problems such as occlusion and cluttering when methods such as glyphing and volume rendering are applied. In this paper we present a case study where new modes for haptic interaction are used to enhance the exploration of CFD data. A VR environment with interactive graphics and an integrated graphical user interface has been implemented. In contrast to previous work on haptic interaction with CFD data we employ a 'reactive haptic scheme as opposed to direct force mapping. The reactive approach not only generates more stable feedback but also provides clearer and more intuitive cues about the underlying data. Two haptic modes are used to enhance the understanding of different features in the flow data: One presents the orientation of the data and also guides the user to follow the stream as it flows around the aircraft fuselage. The other provides a haptic representation of vortex data. This mode enables the user to perceive and so follow tendencies of vorticity and vortices.

关键词： computational fluid dynamics volume haptics reactive force feedback vector data

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Illustrative visualization of 3D city models

Illustrative visualization of 3D city models

引用

conference on visualization and data analysis 2005

作者： Döllner, J Buchholz, H Nienhaus, M Kirsch, F Univ Potsdam Hasso Plattner Inst Potsdam Germany

ISBN: (纸本)081945642X

This paper presents an illustrative visualization technique that provides expressive representations of large-scale 3D city models, inspired by the tradition of artistic and cartographic visualizations typically found in bird's-eye view and panoramic maps. We define a collection of city model components and a real-time multi-pass rendering algorithm that achieves comprehensible, abstract 3D city model depictions based on edge enhancement, color-based and shadow-based depth cues, and procedural facade texturing. Illustrative visualization provides an effective visual interface to urban spatial information and associated thematic information complementing visual interfaces based on the Virtual Reality paradigm, offering a huge potential for graphics design. Primary application areas include city and landscape planning, cartoon worlds in computer games, and tourist information systems.

关键词： geovisualization virtual geo-environments urban planning 3D city models

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Comparing three PCA-based methods for the 3d visualization of imaging spectroscopy data

Comparing three PCA-based methods for the 3d visualization o...

引用

5th IASTED International conference on visualization, Imaging, and Image Processing, VIIP 2005

作者： Broersen, Alexander Van Liere, Robert Heeren, Ron M.A. CWI Kruislaan 413 Amsterdam Netherlands FOM Institute for Atomic and Molecular Physics Kruislaan 407 Amsterdam Netherlands

ISBN: (纸本)0889865280

In this paper we compare the quality of three different principle component analysis (PCA) based methods to generate transfer functions for the 3D visualization of imaging spectroscopy data. We discuss three criteria for judging the quality of features in these visualizations. These criteria are used to interpret visualizations of features in the brain of the snail Lymnaea Stagnalis. We show that the PCA method that uses model additional information, clearly results in superior visualizations.

关键词： Principal component analysis

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