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检索条件"任意字段=Conference on Visualization and Data Analysis 2011"

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Map-like Wikipedia overview visualization

Map-like Wikipedia overview visualization

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International Symposium on Collaborative Technologies and Systems

作者： Cheong-Iao Pang Robert P. Biuk-Aghai Faculty of Science and Technology University of Macau Macao China

ISBN: (纸本)9781612846385

Wikis, such as Wikipedia, have become increasingly popular in recent years. They allow anyone to easily contribute to collaboratively written content. To better organize content, users in Wikipedia assign categories to articles, or create new categories if needed. The resulting semantic coverage of a wiki's articles over its categories is worth studying but not easy to obtain. To provide a better understanding, we created an approach to visualize an entire wiki by creating a graphical representation that is similar to a geographical map. This enables even untrained users, as well as people outside the field of computer science, to obtain an easily understandable overview of a wiki.

关键词： Internet Encyclopedias Electronic publishing data visualization Algorithm design and analysis Layout

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visualization-Based Support of Hypothesis Verification for Research Survey with Co-authorship Networks

Visualization-Based Support of Hypothesis Verification for R...

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IEEE WIC ACM International conference on Web Intelligence (WI)

作者： Takeshi Kurosawa Yasufumi Takama Graduate School of System Design Tokyo Metropolitan University Hino Tokyo Japan

This paper examines the effectiveness of a visualization system for getting insight into future research activities from co-authorship networks. A co-authorship network is important information when doing a research survey. In particular, there are many requests on survey that relate with researchers' future activities, such as identification of growing researchers and supervisors. In previous paper we proposed a visualization system for co-authorship networks, which provides the function for identifying research areas and that for identifying temporal variation of both network structure and keyword distribution. This paper examines its effectiveness through field trials by test participants. The results are examined as the process of hypothesis verification, which shows that test participants could perform the task even though they had no background knowledge about InfoVis.

关键词： visualization Collaboration Color data visualization Educational institutions System analysis and design History

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A conceptual overview of data mining

A conceptual overview of data mining

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National conference on Innovations in Emerging Technology (NCOIET)

作者： B.N. Lakshmi G.H. Raghunandhan Department of Computer Science Engineering Reva Institute of Technology and Management Bangalore Karnataka India

data mining an non-trivial extraction of novel, implicit, and actionable knowledge from large data sets is an evolving technology which is a direct result of the increasing use of computer databases in order to store and retrieve information effectively. It is also known as Knowledge Discovery in databases (KDD) and enables data exploration, data analysis, and data visualization of huge databases at a high level of abstraction, without a specific hypothesis in mind. The working of data mining is understood by using a method called modeling with it to make predictions. data mining techniques are results of long process of research and product development and include artificial neural networks, decision trees and genetic algorithms. This paper surveys the data mining technology, its definition, motivation, its process and architecture, kind of data mined, functionalities and classification of data mining, major issues, applications and directions for further research of data mining technology.

关键词： data mining Classification algorithms data warehouses Web sites Business Spatial databases

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KaitoroCap: A Document Navigation Capture and Visualisation Tool

KaitoroCap: A Document Navigation Capture and Visualisation ...

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Working IEEE/IFIP conference on Software Architecture

作者： Moon Ting Su John Hosking John Grundy Department of Computer Science University of Auckland Auckland New Zealand Faculty of Information & Communication Technologies Swinburne University of Technology VIC Australia

To facilitate the usage of software architecture documents (ADs), we claim the architectural information in the ADs needs to be structured into or presented as chunks. A chunk allows related information to be retrieved collectively as a unit and simplifies information location tasks. We propose a new semi-automated approach based on the actual usage of ADs by previous users, i.e. by capturing users' exploration paths through ADs while engaging in information seeking tasks and making these paths available for future retracing and analysis. As part of our work, we developed KaitoroCap, a document navigation capture and visualisation tool. Its main features are exploration paths capture, retrieval, analysis, hierarchical tree-view visualization of paths, path searching, section rating, tagging, commenting, expanding/collapsing and page model generation to enable dynamic restructuring of ADs. This paper describes the design, implementation and usage examples of KaitoroCap.

关键词： Navigation Software architecture Tagging data visualization Internet Encoding

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Exploring agent-based simulations using temporal graphs

Exploring agent-based simulations using temporal graphs

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IEEE Symposium on Visual Analytics Science and Technology (VAST)

作者： R. Jordan Crouser Jeremy G. Freeman Remco Chang Tufts University USA

Agent-based simulation has become a key technique for modeling and simulating dynamic, complicated behaviors in social and behavioral sciences. Lacking the appropriate tools and support, it is difficult for social scientists to thoroughly analyze the results of these simulations. In this work, we capture the complex relationships between discrete simulation states by visualizing the data as a temporal graph. In collaboration with expert analysts, we identify two graph structures which capture important relationships between pivotal states in the simulation and their inevitable outcomes. Finally, we demonstrate the utility of these structures in the interactive analysis of a large-scale social science simulation of political power in present-day Thailand.

关键词： Analytical models Algorithm design and analysis data models data visualization Real time systems Visual analytics Electronic mail

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Applying three-dimensional visualization technology in the area of remote sensing geological mapping

Applying three-dimensional visualization technology in the a...

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2nd International conference on Multimedia Technology, ICMT 2011

作者： Li, Yuxin Li, Weiming Qing, Min Wang, Qun BeiJing China Gold Geological Institute of CAPF LangFang HeBei China Beijing China

ISBN: (纸本)9781612847740

3S (Remote Sense, GIS, GPS) technology advances to the regional geological surveys have found widespread application. Especially the remote sensing geological mapping which integrate remote sensing and GIS technology. As the supplement and improvement for traditional geological mapping methods, it plays important role of the large-scale regional geological survey. Based on comparative analysis of DEM interpolation methods, the writer design the two-way mixed-function interpolation which is used to process the DEM data accessed openly. It accuracy to match with remote sensing data. Direct3D-based software designed GeoModeling. It uses DEM and remote sensing image after processing to establish remote sensing three-dimensional landscape models, and uses three-dimensional visualization technology to assist remote sensing geological mapping work. © 2011 IEEE.

关键词： Remote sensing

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Near-real-time connectivity estimation for multivariate neural data

Near-real-time connectivity estimation for multivariate neur...

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Annual International conference of the IEEE Engineering in Medicine and Biology Society

作者： Anne C. Smith Christopher P. Fall Andrew T. Sornborger Department of Anesthesiology and Pain Medicine UC Davis Department of Bioengineering University of Illinois at Chicago Department of Mathematics and Faculty of Engineering University of Georgia

ISBN: (纸本)9781424441211

Optical imaging in vivo is an important tool for allowing researchers to understand neural ensemble interactions during awake behavior, sleep, anesthesia and during seizure activity. A major bottleneck in the overall efficiency of neural imaging experiments is the need for post-hoc analysis of imaging data. Computational capabilities are now at the point where real- or near-real-time multivariate analysis of imaging data is possible as data is acquired. In this paper we address the feasibility of performing real-time data analysis with a desktop computer, MATLAB, and a graphics processing unit (GPU). Important components of any real-time functional imaging analysis system are 1) dimensional reduction of the data, 2) visualization of the reduced vector space and 3) rapid calculation of functional connectivities. The ability to assess sources of variability in the data, and connectivity estimates on the fly, are potentially transformative for the way imaging laboratories perform their work. Here, we present benchmarks for analysis of functional imaging data using dimensional reduction methods and estimation of functional connectivities using least-squares and ridge regression methods.

关键词： quasi-realtime language REDUCTION METHODS image data ridge regression Optical Imaging Seizure activity Graphics Processing Unit Brain Connectivity Flies connectivity BENCHMARKS

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ImpactWheel: Visual analysis of the Impact of Online News

ImpactWheel: Visual Analysis of the Impact of Online News

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IEEE WIC ACM International conference on Web Intelligence (WI)

作者： Wei Wei Nan Cao Jon Atle Gulla Huamin Qu Department of Computer and Information Science Norwegian University of Science and Technology Norway Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong China

Online news usually describes various events over multiple topics. Some of them may generate great impact and affection on other events, organizations or people. For example, a bankruptcy news about a big company may generate a great impact on other companies. Detecting this kind of impact helps users better to understand the affection of a specified event and its epidemic. Powerful text mining techniques have been developed to help users to detect topic trends of news articles. However, there is a lack of effective analysis tools that analyze and reveal the news impact in an intuitive approach. In this paper, we introduce Impact Wheel, an explorative visual analysis system for topic driven news impact detection. We describe two unique aspects of Impact Wheel, including 1) topic driven impact analysis and 2) interactive rich context visualization. Experiments on performance evaluation show that our proposed approach outperforms the two baseline methods on topic driven impact analysis. In addition, we demonstrate the power of the Impact Wheel system through a case study, which shows the benefits of this work, especially in support of rich topic data analysis.

关键词： Companies Context Layout Probabilistic logic visualization Industries data visualization

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WordNet Editor to Refine Indonesian Language Lexical database

WordNet Editor to Refine Indonesian Language Lexical Databas...

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International conference on Asian Language Processing (IALP)

作者： Gunawan Jessica Felani Wijoyo I. Ketut Eddy Purnama Mochamad Hariadi Department of Electrical Engineering Institut Teknologi Sepuluh November Surabaya East Java Indonesia Department of Computer Science Sekolah Tinggi Teknik Surabaya Surabaya East Java Indonesia

This paper describes an approach for editing Indonesian Language Lexical database especially noun category and its relations. The purpose of this editor is to refine Indonesian Lexical database that was developed in our previous researches. The visualization of the editor is using graph library with some modifications and additions. Furthermore, this editor will be web based so that everyone can participate to improve Indonesian Language Lexical database. There is an administrator role that had to accept or reject any suggestion for the changes suggested by any member. We believe that this editing approach can also be used to improve WordNet developed in other languages.

关键词： databases data visualization Titanium Image color analysis Semantics Libraries Web pages

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Hierarchical disaster image classification for situation report enhancement

Hierarchical disaster image classification for situation rep...

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IEEE International conference on Information Reuse and Integration (IRI)

作者： Yimin Yang Hsin-Yu Ha Fausto Fleites Shu-Ching Chen Steven Luis School of Computing and Information Sciences Florida International University Miami FL USA

In this paper, a hierarchical disaster image classification (HDIC) framework based on multi-source data fusion (MSDF) and multiple correspondence analysis (MCA) is proposed to aid emergency managers in disaster response situations. The HDIC framework classifies images into different disaster categories and sub-categories using a pre-defined semantic hierarchy. In order to effectively fuse different sources (visual and text) of information, a weighting scheme is presented to assign different weights to each data resource depending on the hierarchical structure. The experimental analysis demonstrates that the proposed approach can effectively classify disaster images at each logical layer. In addition, the paper also presents an iPad application developed for situation report management using the proposed HDIC framework.

关键词： visualization Feature extraction Training Mathematical model Performance evaluation data models Multimedia communication

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