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检索条件"任意字段=IEEE Information Visualization Conference/IEEE Visualization Conference"

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REAL-WORLD APPLICATIONS OF visualization SOLUTIONS

引用

1ST ieee CONF ON visualization ( visualization 90 )

作者： PRAWEL, DA Precision Visuals Inc Boulder CO USA

ISBN: (纸本)0818620838

Visual data analysis (VDA) is a visualization approach that combines vector and raster graphics to provide insights into various aspects of multidimensional datasets. VDA methods have found application in aerospace engineering research. VDA is being used to develop nondestructive evaluation testing techniques for graphite epoxy composites by providing insights into stress waves propagating through them. Visual data analysis was used to analyze stress wave propagation, determine the origin of an unexplained wave distortion, and create a theoretical model to eliminate the distortion utilizing mathematical modeling.

关键词： Computer Graphics

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Visual Analysis of College Students' Scores in English Test

Visual Analysis of College Students' Scores in English Test

引用

4th International conference on Computer Science and Education

作者： Gan Xiaoya Liu Kan Liu Ping Wuhan Univ Sci & Technol Sch Foreign Language Wuhan Peoples R China Zhongnan Univ Econ & Law Sch Informat Wuhan Peoples R China Wuhan Univ Sch Informat Management Wuhan Peoples R China

ISBN: (纸本)9781424435197

The rapid development of computer technology has brought promises for the education science, especially English teaching. In order to improve the current English teaching research, the paper recommends data visualization technology as a valuable tool and demonstrates it with college students' scores in an English test. During the process, data of the students' scores are transformed and displayed with graphics, and analyzed. In view of the visualization findings, the paper has put forward some advice to guide future English teaching.

关键词： information visualizationparallel coordinates data mining English test scores English teaching

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A comparative user study of web search interfaces: HotMap, concept highlighter, and google 06

A comparative user study of web search interfaces: HotMap, c...

引用

ieee/WIC/ACM International conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2006)

作者： Hoeber, Orland Yang, Xue Dong Univ Regina Dept Comp Sci Regina SK S4S 0A2 Canada

ISBN: (纸本)9780769527475

Users of traditional web search engines commonly find it difficult to evaluate the results of their web searches. We suggest the use of information visualization and interactive visual manipulation as methods for improving the ability of users to evaluate the results of a web search. In this paper, we present the results of a user study that compared the search results interface provided by Google to that of two systems we have developed: HotMap and Concept Highlighter We found that users were able to perform their searches faster with HotMap, were able to find more relevant documents with Concept Highlighter and generally ranked these interfaces higher than Google with respect to subjective measures. When given a choice between these interfaces, participants ranked HotMap the highest, followed by Google and Concept Highlighter These results indicate that even though the list-based representation of search results are common among search engines, visual and interactive interfaces to web search results can be more efficient, effective, and satisfying to the users.

关键词： Web search information retrieval Search engines visualization Content based retrieval Frequency Fuzzy sets Computer science Performance evaluation information analysis

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Sentiment Analysis and visualization of Amazon Books' Reviews 2

Sentiment Analysis and Visualization of Amazon Books' Review...

引用

2nd International conference on Computer Applications and information Security (ICCAIS)

作者： Almjawel, Aljoharah Bayoumi, Sahar Alshehri, Dalal Alzahrani, Soroor Alotaibi, Munirah Shaqra Univ CCIS Dept Comp Sci Shaqra Saudi Arabia King Saud Univ CCIS Dept Informat Technol Riyadh Saudi Arabia Alexandria Univ Inst Grad Studies & Res Alexandria Egypt

ISBN: (纸本)9781728101088

Nowadays user-generated content is growing in a digital world, where many individuals can post texts about various products in order to express their feedback. Reviews about products are critical as they guide others to use it or not which affect the production profit, and popularity. Amazon is one of the companies that provide reviews of users regarding all its products. Since reviews are textual and varying;an interactive representation would be supportive to users through summarizing opinions and providing feedback. In this paper, a visual analytics tool proposed;as a dashboard;a user-friendly analysis of books' reviews on Amazon. Interactive Packed bubbles, Linear chart, Stacked bars, and Word-cloud are four visualization techniques incorporated together enabling users to explore relationships between multiple objectives at the same time in an interactive manner. Besides, visual sentiment analysis of opinions extracted from the user reviews of books whether positive, neutral or negative is provided to support users' decision.

关键词： Text visualization Tableau Rstudio Amazon Reviews Opinion Analysis Sentiment Analysis

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visualization System for Evolutionary Neural Networks for Deep Learning

Visualization System for Evolutionary Neural Networks for De...

引用

ieee International conference on Big Data (Big Data)

作者： Chae, Junghoon Schuman, Catherine D. Young, Steven R. Johnston, J. Travis Rose, Derek C. Patton, Robert M. Potok, Thomas E. Oak Ridge Natl Lab POB 2009 Oak Ridge TN 37830 USA

ISBN: (纸本)9781728108582

Deep learning is actively used in a wide range of fields for scientific discovery. To effectively apply deep learning to a particular problem, it is important to select an appropriate network architecture and other hyper-parameters (at each layer). Evolving architectures and hyper-parameters using a genetic algorithm is one current approach to search the huge space of all possible configurations to find those more optimal for the problem. However, examining an evolutionary process and tuning the genetic algorithm are challenging, pushing most users to treat the process as a black box. To address this challenge, we propose a visualization system for evolutionary neural networks for deep learning. The key feature of our visualization system is to provide a visual analytics environment for evaluating a genetic algorithm in order to improve the underlying operations to reduce time to find good solutions. Our system is able to not only visualize how a genetic algorithm traverses its search space but also allows users to examine evolving networks in-depth to get insights to improve performance through interactive visualization components.

关键词： visualization neural network evolutionary algorithm

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Interactive Visual Support for Metagenomic Contig Binning

Interactive Visual Support for Metagenomic Contig Binning

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ieee conference Visual Analytics Sci Technology

作者： Broeksema, Bertjan McGee, Fintan Calusinska, Magdalena Ghoniem, Mohammad Ctr Rech Publ Gabriel Lippmann Luxembourg Luxembourg

ISBN: (纸本)9781479962273

Within metagenomics, "Contig Binning" is an important step in the process of reconstructing genomes of species in mixed cultures and environmental samples. We present an interactive visual environment which enables a biologist to statistically analyze the multiple dimensions of data that are typically used during binning, and integrate and compare the results of various binning methods. Our system features a web-based parallel coordinate visualization at the front end and a R server back end for analysis and semi-supervised clustering of contig data.

关键词： DNA Internet biology computing data visualisation genomics molecular biophysics pattern clustering Web-based parallel coordinate visualization binning method contig data environmental sample interactive visual environment interactive visual support metagenomic contig binning metagenomics mixed cultures multiple data dimension reconstructing genomes semisupervised clustering server back end Assembly Data visualization Genomics Servers visualization Data visualisation Metagenomics Genomics biology computing molecular biology Servers visualization Cluster Analysis DNA assemblies Internets Mixed culture contig front-ends

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visualization of sonar performance within environmental information

Visualization of sonar performance within environmental info...

引用

MTS/ieee OCEANS conference

作者： Dombestein, Elin Mjolsnes, Svein Hermansen, Fredrik Norwegian Def Res Estab FFI Oslo Norway Norwegian Def Logist Org Lillehammer Norway Norwegian Def Res Estab FFI Lillehammer Norway

ISBN: (纸本)9781479900008;9781479900022

In this paper we present a demonstrator that visualizes simulations of sonar performance in a geographical information system, based on detailed bottom topography. The sonar performance predictions are calculated by the acoustic ray trace model LYBIN, which will be described briefly. The main purpose of this paper is to demonstrate how visualization of acoustic data in a geographical information system can improve sonar operations, by obtaining better knowledge of how the marine environment influences the sonar performance. We will point out how to make sonar performance modelling tools both easier to use and how to improve the user intelligibility.

关键词： geographic information systems marine communication sonar

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Mining and Visualizing Social Data to Inform Marketing Decisions 30

Mining and Visualizing Social Data to Inform Marketing Decis...

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30th ieee International conference on Advanced information Networking and Applications (ieee AINA)

作者： Treboux, Jerome Cretton, Fabian Evequoz, Florian le Calve, Anne Genoud, Dominique Univ Appl Sci Inst Informat Syst HES SO Valais Sierre Switzerland

ISBN: (纸本)9781509018574

Most of today's commercial companies heavily rely on social media and community management tools to interact with their clients and analyze their online behaviour. Nonetheless, these tools still lack evolved data mining and visualization features to tailor the analysis in order to support useful marketing decisions. We present an original methodology that aims at formalizing the marketing need of the company and develop a tool that can support it. The methodology is derived from the Cross-Industry Standard Process for Data Mining (CRISP-DM) and includes additional steps dedicated to the design and development of visualizations of mined data. We followed the methodology in two use cases with Swiss companies. First, we developed a prototype that aims at understanding the needs of tourists based on Flickr and Instagram data. In that use case, we extend the existing literature by enriching hashtags analysis methods with a semantic network based on Linked Data. Second, we analyzed internal customer data of an online discount retailer to help them define guerilla marketing measures. We report on the challenges of integrating Facebook data in the process. Informal feedback from domain experts confirms the strong potential of such advanced analytic features based on social data to inform marketing decisions.

关键词： data mining data visualization social media linked data marketing methodology knime d3

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Extraction and visualization of Numerical and Named Entity information from a Large Number of Documents

Extraction and Visualization of Numerical and Named Entity I...

引用

ieee International conference on Natural Language Processing and Knowledge Engineering

作者： Murata, Masaki Iwatate, Masakazu Ichii, Koji Ma, Qing Shirado, Tamotsu Kanamaru, Toshiyuki Torisawa, Kentaro NICT Kyoto Japan NAIST Nara Japan Hiroshima Univ Hiroshima Japan Ryukoku Univ Otsu Shiga Japan Kyoto Univ Kyoto Japan

ISBN: (纸本)9781424427796

We have developed a system that can semi automatically extract numerical and named entity sets from a large number of Japanese documents and can create various kinds of tables and graphs. In our experiments, our system has semiautomatically created approximately 300 kinds of graphs and tables at precisions of 0.2-0.8 with only two hours of manual preparation from a two-year stack of newspapers articles. Note that these newspaper articles contained a large quantity of data, and all of them could not be read or checked manually in such a short amount of time. From this perspective, we concluded that our system is useful and convenient for extracting information from a large number of documents.

关键词： visualization numerical information named entity graph table

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Event-based Encoding from Digital Magnetic Compass and Ultrasonic Distance Sensor for Navigation in Mobile Systems 14

Event-based Encoding from Digital Magnetic Compass and Ultra...

引用

14th ieee International conference on Industrial Informatics (INDIN)

作者： Barrios-Aviles, Juan Iakymchuk, Taras Rosado-Munoz, Alfredo Frances-Villora, Jose V. Bataller-Mompean, Manuel Guerrero-Martinez, Juan F. Univ Valencia GDDP ETSE Sch Engn Dept Elect Engn Av Univ S-N E-46100 Valencia Spain

ISBN: (纸本)9781509028702

Event-based encoding reduces the amount of generated data while keeping relevant information in the measured magnitude. While this encoding is mostly associated with spiking neuromorphic systems, it can be used in a broad spectrum of tasks. The extension of event-based data representation to other sensors would provide advantages related to bandwidth reduction, lower computing requirements, increased processing speed and data processing. This work describes two event-based encoding procedures (magnitude-event and rate-event) for two sensors widely used in industry, especially for navigation in mobile systems: digital magnetic compass and ultrasonic distance sensor. Encoded data meet Address Event Representation (AER) format for further transmission, processing and visualization. Two encoding procedures and their associated AER conversion from sensor data are described, using an AVR microprocontroller to perform the task in real-time. Results are transmitted to a computer via USART, displayed and recorded using Matlab or jAER visualization tool. A comparison with classic transmitting and processing of sensor data is done to evaluate the convenience of the proposed encoding. Results show that data transmission bandwith can be reduced up to 95% under certain conditions, envisaging that pure or mixed regular/event-based data sensors are desirable for high speed transmission and low computer processing while keeping relevant information, which is highly desirable for mobile systems.

关键词： visualization

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