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检索条件"任意字段=Conference on Visualization and Data Analysis 2007"

共 701 条记录，以下是231-240 订阅

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Society of Petroleum Engineers: Digital Energy conference and Exhibition 2007, "Bytes and Barrels: An Energy Renaissance"

Society of Petroleum Engineers: Digital Energy Conference an...

引用

Society of Petroleum Engineers - Digital Energy conference and Exhibition 2007 - Bytes and Barrels: An Energy Renaissance

ISBN: (纸本)9781604230086

The proceedings contain 44 papers. The topics discussed include: DTS transient analysis: a new tool to assess well-flow dynamics;successful flow profiling of gas wells using distributed-temperature-sensing data;robust well-cost estimation using a support vector machine model;neural networks can enhance fuzzy corrosion modeling;information architecture strategy for the digital oil field;technology integration in the Caspian;field-of-the-future program: planning for success;introducing predictive analytics: opportunities;eDrilling: a system for real-time drilling simulation, 3D visualization, and control;natural-disaster preparedness: best practices;computational geometry as an aid to data analysis of drilling data;applying downhole real-time data and composite IPR technology to optimize production of multiple-zone intelligent wells;and what role does a data warehouse play in a service-oriented architecture?

关键词： Oil well production

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Novel collaborative automated testing framework using DDF

Novel collaborative automated testing framework using DDF

引用

4th International conference on Cooperative Design, visualization, and Engineering

作者： Pei, Songwen Wu, Baifeng Yu, Qiang Zhu, Kun Fudan Univ Dept Comp & Informat Technol Shanghai 200433 Peoples R China

ISBN: (纸本)9783540747796

Collaborative testing is an effective way of distributed interoperability in pursuit of automated testing. In this paper, a novel collaborative testing approach named Collaborative Automated Testing Framework (CATF) which meets the requirements of not only automated testing but also collaborative operation is proposed. Through the abstract analysis in, terms of extended dynamic dataflow (DDF) model's viewpoint incorporating with UML2.0 profile of MDA, we design the framework with an automated engine working as a Finite State Machine (FSM). Particularly, as a approach to collaborative testing at a system level, CATF is implemented with component modules based on J2EE and verified to be of efficiency.

关键词： data flow analysis

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Private data management in collaborative environments\

Private data management in collaborative environments\

引用

4th International conference on Cooperative Design, visualization, and Engineering

作者： Korba, Larry Song, Ronggong Yee, George Patrick, Andrew S. Buffett, Scott Wang, Yunli Geng, Liqiang Natl Res Council Canada Inst Informat Technol Bldg M-50Montreal Rd Ottawa ON K1A 0R6 Canada

ISBN: (纸本)9783540747796

Organizations are under increasing pressures to manage all of the personal data concerning their customers and employees in a responsible manner. With the advancement of information and communication technologies, improved collaboration, and the pressures of marketing, it is very difficult to locate personal data is, let alone manage its use. In this paper, we outline the challenges of managing personally identifiable information in a collaborative environment, and describe a software prototype we call SNAP (Social Networking Applied to Privacy). SNAP uses automated workflow discovery and analysis, in combination with various text mining techniques, to support automated enterprise management of personally identifiable information.

关键词： privacy compliance workflow social network analysis

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Research on integration of microscopic traffic simulation and GIS

Research on integration of microscopic traffic simulation an...

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IEEE International conference on Service Operations and Logistics and Informatics

作者： Zhou, Yuan Liang, Hong Wu, Jianping Gao, Lianxiong Yunan Univ Sch Informat Sci & Engn Kunming 650091 Peoples R China Beijing Univ Posts & Telecommun Beijing 100876 Peoples R China

ISBN: (纸本)9781424435395

An application system is presented to implement the integration of microscopic traffic simulation and GIS, and a spatio-temporal data model is proposed as the solution for the integration. We mainly discuss the framework spatio-temporal data model and dynamic map layer of integrative system. The representative microscopic traffic simulation system, MITSIM, is adopted as the model to analyze the simulation process. We realized the integrative system based on ArcGIS and MITSIM. It has been shown that integrating microscopic simulation and GIS is an efficient and feasible method to utilize spatial data storage, analysis, visualization and abundant spatial data in GIS for microscopic traffic simulation.

关键词： microscopic traffic simulation GIS integration spatio-temporal data model dynamic map layer

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Internet Mapping: from Art to Science

Internet Mapping: from Art to Science

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Cyber Security Applications and Technology conference for Homeland Security

作者： Claffy, Kimberly Hyun, Young Keys, Ken Fomenkov, Marina Krioukov, Dmitri Univ Calif San Diego San Diego Supercomp Ctr Cooperat Assoc Internet Data Anal La Jolla CA 92093 USA

ISBN: (纸本)9780769535685

We are designing, implementing, deploring, and operating a secure measurement platform capable of performing various types of Internet infrastructure measurements and assessments. We integrate state-of-the-art Measurement and analysis capabilities to try to build a coherent view of Internet topology. In September 2007 we began to use this novel architecture to support ongoing global Internet topology measurement and mapping, and are now gathering the largest set of IP topology data, for use by academic researchers. We are using the best available techniques for IP topology mapping, and are developing some new techniques, as well as supporting software for data analysis, topology generation, and interactive visualization of resulting large annotated graphs. This paper presents our current results, next steps, and future goals.

关键词： Internet Tomography/Topography internet mapping

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conference on Computer Graphics, Imaging and Visualisation

作者： Hassan, Mohammad M. Khatib, Wasfi Al King Fahd Univ Petr & Minerals Dept Informat & Comp Sci Dhahran 31261 Saudi Arabia

ISBN: (纸本)9780769529288

Similarity searching is an excellent approach for getting information from subjective materials like images or videos. Some excellent works on special domains have done. We focus on Statistical images. These kinds of images have some excellent features that can be clearly extractable and useable in similarity searching. But there no significant work has been done in this area. So we have done some preliminary works in this domain. By some extensive analysis we classes images of this domain in some sub domains and also identified the nature of features those can be considered as silent. We develop a prototype based on this analysis where we store extracted features information of a statistical images as Meta data. Then we devise some strategy to do similarity searching using standard query formulation.

关键词： similarity searching statistical images information extraction meta data

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OntoDNA: Ontology alignment results for OAEI 2007

OntoDNA: Ontology alignment results for OAEI 2007

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2nd International Workshop on Ontology Matching, OM-2007 - Collocated with the 6th International Semantic Web conference, ISWC-2007 and the 2nd Asian Semantic Web conference, ASWC-2007

作者： Kiu, Ching-Chieh Lee, Chien-Sing Faculty of Information Technology Multimedia University Jalan Multimedia 63100 Cyberjaya Selangor Malaysia

OntoDNA is an automated ontology mapping and merging system that utilizes unsupervised data mining methods, comprising of Formal Concept analysis (FCA), Self-Organizing map (SOM) and K-means incorporated with lexical similarity, namely Levenshtein edit distance. The unsupervised data mining methods are used to resolve structural and semantic heterogeneities between ontologies, meanwhile lexical similarity is used to resolve lexical heterogeneity between ontologies. OntoDNA generates a merged ontology in concept lattice that enables visualization of the concept space based on formal context. This paper briefly describes the OntoDNA system and discusses the obtained alignment results on some of the OAEI 2007 dataset. The paper also presents strengths and weaknesses of our system and the method to improve the current approach.

关键词： Ontology

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NewsLab: Exploratory broadcast news video analysis 07

NewsLab: Exploratory broadcast news video analysis

引用

IEEE Symposium on Visual Analytics Science and Technology

作者： Ghoniem, Mohammad Luo, Dongning Yang, Jing Ribarsky, William UNC Charlotte Charlotte NC USA

ISBN: (纸本)9781424416592

In this paper, we introduce NewsLab, an exploratory visualization approach for the analysis of large scale broadcast news video collections containing many thousands of news stories over extended periods of time. A river metaphor is used to depict the thematic changes of the news over time. An interactive lens metaphor allows the playback of fine-grained video segments selected through the river overview. Multi-resolution navigation is supported via a hierarchical time structure as well as a hierarchical theme structure. Themes can be explored hierarchically according to their thematic structure, or in an unstructured fashion using various ranking criteria. A rich set of interactions such as filtering, drill-down/roll-up navigation, history animation, and keyword based search are also provided. Our case studies show how this set of tools can be used to find emerging topics in the news, compare different broadcasters, or mine the news for topics of interest.

关键词： large data exploration broadcast video analysis time filtering clustering animation comparative analysis

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An integrated platform for spatial data mining within a GIS environment

An integrated platform for spatial data mining within a GIS ...

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IEEE 23rd International conference on data Engineering Workshop

作者： Appice, Annalisa Lanza, Antonietta Malerba, Donato Univ Bari Dipartimento Informat I-70126 Bari Italy

ISBN: (纸本)9781424408313

The strength of GIS is in providing a rich data infrastructure for combining disparate data in meaningful ways by using a spatial arrangement (e.g., proximity). As a toolbox, a GIS allows planners to perform spatial analysis using geo-processing functions such as map overlay, connectivity measurements or thematic map coloring. Although, this makes effective the geographic visualization of individual variables, complex multi-variate dependencies are easily overlooked. The required step to take GIS beyond a tool for automating cartography is to incorporate the ability of analyzing and condensing a large number of geo-referenced variables into a single forecast or score. This is where data mining promises great potential benefits and the reason why there is such a hand-in-glove fit between GIS and data mining. Following the mainstream of this research, we propose to integrate GIS and data mining functionality in a closely coupled open and extensible GIS architecture. This is done by resorting to emerging spatial data mining technology that deals with the substantial complexity added from the spatial dimension. We illustrate an example of topographic map interpretation where resorting to data mining facilities to discover both operational definitions of morphologies characterizing the landscape (i.e., spatial classification rules) and frequent spatial interactions of two or more spatially-referred objects (i.e., spatial association rules). In both cases, discovered patterns correspond to what geographers, geologists and town planners are interested in while interpreting a map, although they are never explicitly represented in topographic maps or in a GIS-model.

关键词： Geographic information systems

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A Visual Method for High-Dimensional data Cluster Exploration

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16th International conference on Neural Information Processing (ICONIP 2009)

作者： Zhang, Ke-Bing Huang, Mao Lin Orgun, Mehmet A. Nguyen, Quang Vinh Macquarie Univ Dept Comp Sydney NSW 2109 Australia Univ Western Sydney Fac Engn & Informat Technol Sydney NSW 2007 Australia Univ Western Sydney Sch Comp & Math Penrith NSW 1797 Australia

ISBN: (纸本)9783642106828

visualization is helpful for clustering high dimensional data. The goals of visualization in data mining are exploration, confirmation and presentation of the clustering results. However, the most of visual techniques developed for cluster analysis are primarily focused on cluster presentation rather than cluster exploration. Several techniques have been proposed to explore cluster information by visualization, but most of them depend heavily on the individual user's experience. Inevitably, this incurs subjectivity and randomness in the clustering process. In this paper, we employ the statistical features of datasets as predictions to estimate the number of clusters by a visual technique called HOV3. This approach mitigates the problem of the randomness and subjectivity of the user during the process of cluster exploration by other visual techniques. As a result, our approach provides an effective visual method for cluster exploration.

关键词： Cluster Exploration visualization Statistics

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