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检索条件"任意字段=Conference on Visual Data Exploration and Analysis"

共 1757 条记录，以下是461-470 订阅

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CovidEmoVis - An Interactive visual Analytic Tool for Exploring Emotions from Twitter data of Covid-19 6th

CovidEmoVis - An Interactive Visual Analytic Tool for Explor...

引用

6th Ibero-American conference on Human-Computer Interaction (HCI-COLLAB)

作者： Laura-Ochoa, Leticia Tejada-Toledo, Franco Univ Nacl San Agustin Arequipa Arequipa Peru

ISBN: (纸本)9783030669188;9783030669195

Due to the Covid-19 pandemic, nowadays people comment a lot in Twitter expressing emotions around this. It can be very difficult to analyze and obtain information from big amounts of unstructured data, the objective of this work is the processing of high volumes of these tweets and to get a temporal visual exploration analysis of emotions through an interactive visual analytic tool from Twitter data of Covid-19. This useful tool could help to the specialists in Psychology to know more about the emotional profile of users and the tweets posted daywise. Further it helps to see the important words of the tweets through word cloud and a two-dimensional plane graph to see the word of each tweet with its VAD (valence, arousal and dominance) scores and emotions. First we preprocessed the data to delete the stopwords, then we used a RNN (Recurrent Neural Network) to get an emotion related to the tweet, then we calculate VAD scores and fill missing emotions, this data can be visualized across this tool on a timeline interactively.

关键词： COVID-19 Emotion analysis visual analytics Social media text

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Urban Mosaic: visual exploration of Streetscapes Using Large-Scale Image data 20

Urban Mosaic: Visual Exploration of Streetscapes Using Large...

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CHI conference on Human Factors in Computing Systems (CHI)

作者： Miranda, Fabio Hosseini, Maryam Lage, Marcos Doraiswamy, Harish Dove, Graham Silva, Claudio T. NYU New York NY 10003 USA Rutgers State Univ New Brunswick NJ USA Univ Fed Fluminense Niteroi RJ Brazil

ISBN: (纸本)9781450367080

Urban planning is increasingly data driven, yet the challenge of designing with data at a city scale and remaining sensitive to the impact at a human scale is as important today as it was for Jane Jacobs. We address this challenge with Urban Mosaic, a tool for exploring the urban fabric through a spatially and temporally dense data set of 7 7 million street-level images from New York City, captured over the period of a year. Working in collaboration with professional practitioners, we use Urban Mosaic to investigate questions of accessibility and mobility, and preservation and retrofitting. In doing so, we demonstrate how tools such as this might provide a bridge between the city and the street, by supporting activities such as visual comparison of geographically distant neighborhoods, and temporal analysis of unfolding urban development.

关键词： Urban planning Interactive visualization data analysis Urban data

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A system approach for closed-loop assessment of neuro-visual function based on convolutional neural network analysis of EEG signals

A system approach for closed-loop assessment of neuro-visual...

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conference on Neurophotonics part of SPIE Photonics Europe conference

作者： Stock, Simon C. Armengol-Urpi, Alexandre Kovacs, Balint Maier, Heiko Gerdes, Marius Stork, Wilhelm Sarma, Sanjay E. Karlsruhe Inst Technol Karlsruhe Germany MIT Cambridge MA 02139 USA

ISBN: (数字)9781510634930

ISBN: (纸本)9781510634930;9781510634923

We propose a generalized, modular, closed-loop system for objective assessment of human visual parameters. Our system presents periodical visual stimuli to the patient's field of view and analyses the consequent evoked brain potentials elicited in the occipital lobe and recorded through EEG. The analysis of the monitored EEG data is performed in an end-to-end fashion by a convolutional neural network (CNN). We propose a novel CNN architecture for EEG signal analysis that can be trained utilizing the benefits of multi-task learning. The closedloop attribute of our system allows for a real-time adaptation of the subsequent stimuli to further examine a potentially damaged area or increase the granularity of the exploration. Interchangeability is provided in terms of software modules, stimulus type, visual hardware, EEG acquisition device and EEG electrodes. Initially, the system is designed to monitor visual field loss originating from glaucoma or damage to the optic nerve using a virtual reality (VR) headset for the stimuli presentation. The modular architecture of our system paves the way for the assessment and monitoring of other neuro-visual functions.

关键词： Neuroscience Brain-Computer-Interface EEG Ophthalmology Deep Learning Convolutional Neural Networks System Design

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Argo Lite: Open-Source Interactive Graph exploration and visualization in Browsers 20

Argo Lite: Open-Source Interactive Graph Exploration and Vis...

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29th ACM International conference on Information and Knowledge Management (CIKM)

作者： Li, Siwei Zhou, Zhiyan Upadhayay, Anish Shaikh, Omar Freitas, Scott Park, Haekyu Wang, Zijie J. Routray, Susanta Hull, Matthew Chau, Duen Horng Georgia Inst Technol Atlanta GA 30332 USA

ISBN: (纸本)9781450368599

Graph data have become increasingly common. visualizing them helps people better understand relations among entities. Unfortunately, existing graph visualization tools are primarily designed for single-person desktop use, offering limited support for interactive web-based exploration and online collaborative analysis. To address these issues, we have developed ARGO LITE, a new in-browser interactive graph exploration and visualization tool. ARGO LITE enables users to publish and share interactive graph visualizations as URLs and embedded web widgets. Users can explore graphs incrementally by adding more related nodes, such as highly cited papers cited by or citing a paper of interest in a citation network. ARGO LITE works across devices and platforms, leveraging WebGL for high-performance rendering. ARGO LITE has been used by over 1,000 students at Georgia Tech's data and visual Analytics class. ARGO LITE may serve as a valuable open-source tool for advancing multiple CIKM research areas, from data presentation, to interfaces for information systems and more.

关键词： Interactive graph visualization user interface design network analysis

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Quality Matters: Understanding the Impact of Incomplete data on visualization Recommendation 31st

Quality Matters: Understanding the Impact of Incomplete Data...

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31st International conference on database and Expert Systems Applications (DEXA)

作者： Mafrur, Rischan Sharaf, Mohamed A. Zuccon, Guido Univ Queensland Brisbane Qld Australia United Arab Emirates Univ Al Ain U Arab Emirates

ISBN: (纸本)9783030590031;9783030590024

Incomplete data is a crucial challenge to data exploration, analytics, and visualization recommendation. Incomplete data would distort the analysis and reduce the benefits of any data-driven approach leading to poor and misleading recommendations. Several data imputation methods have been introduced to handle the incomplete data challenge. However, it is well-known that those methods cannot fully solve the incomplete data problem, but they are rather a mitigating solution that allows for improving the quality of the results provided by the different analytics operating on incomplete data. Hence, in the absence of a robust and accurate solution for the incomplete data problem, it is important to study the impact of incomplete data on different visual analytics, and how those visual analytics are affected by the incomplete data problem. In this paper, we conduct a study to observe the interplay between incomplete data and recommended visual analytics, under a combination of different conditions including: (1) the distribution of incomplete data, (2) the adopted data imputation methods, (3) the types of insights revealed by recommended visualizations, and (4) the quality measures used for assessing the goodness of recommendations.

关键词： Incomplete data visualization recommendation data exploration

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Literature analysis on the research status of mass entrepreneurship and innovation training projects : Document metrology based on CNKI database

Literature analysis on the research status of mass entrepren...

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Education, Knowledge and Information Management (ICEKIM), International conference on

作者： Liang Zhou Wen Jing Zhang Information Engineering Institute Lanzhou University of Finance and Economics Lanzhou China Financial Institute Lanzhou University of Finance and Economics Lanzhou China

ISBN: (纸本)9781665416672

Taking the literature of CNKI as the data source and using the literature metrological visual analysis function of CNKI, this paper makes a quantitative analysis on the relevant literature in the research field of "College Students’ innovation and entrepreneurship training program" from 2011 to 2021 from the aspects of literature quantity and annual distribution, subject analysis, discipline distribution, source journals, and author distribution, Get the research status and development trend of innovation and entrepreneurship training projects. The results show that in recent ten years, Chinese scholars have paid more and more attention to the research of "College Students’ innovation and entrepreneurship training program," and the keywords with high frequency are "innovation and entrepreneurship," "innovation and entrepreneurship education," "practical teaching" and so on; Education and teaching forum, with 4705 papers published as relevant research papers, has the most significant number of papers, followed by education modernization and laboratory research and exploration, with 393 and 333 papers respectively. Huang Suoyi, Jian Guoming, Zhang Liucheng, and the other three authors wrote a lot, but the distribution of authors was scattered. Higher education, medical education, marginal medical disciplines, computer software, and computer applications ranked among the top three in the number of documents issued.

关键词： Training Technological innovation visualization Statistical analysis Soft sensors Entrepreneurship Innovation management

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ParaGlyder: Probe-driven Interactive visual analysis for Multiparametric Medical Imaging data 37th

ParaGlyder: Probe-driven Interactive Visual Analysis for Mul...

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37th Computer Graphics International (CGI) conference

作者： Morth, Eric Haldorsen, Ingfrid S. Bruckner, Stefan Smit, Noeska N. Univ Bergen Dept Informat Bergen Norway Haukeland Hosp Mohn Med Imaging & Visualizat Ctr Bergen Norway Univ Bergen Dept Clin Med Bergen Norway

ISBN: (纸本)9783030618636;9783030618643

Multiparametric imaging in cancer has been shown to be useful for tumor detection and may also depict functional tumor characteristics relevant for clinical phenotypes. However, when confronted with datasets consisting of multiple values per voxel, traditional reading of the imaging series fails to capture complicated patterns. These patterns of potentially important imaging properties of the parameter space may be critical for the analysis, but standard approaches do not deliver sufficient details. Therefore, in this paper, we present an approach that aims to enable the exploration and analysis of such multiparametric studies using an interactive visual analysis application to remedy the trade-offs between details in the value domain and in spatial resolution. This may aid in the discrimination between healthy and cancerous tissue and potentially highlight metastases that evolved from the primary tumor. We conducted an evaluation with eleven domain experts from different fields of research to confirm the utility of our approach.

关键词： Medical visualization visual analysis Multiparametric medical imaging data

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exploration of the Anomalies in HVAC data Using Image Similarity Assessment 9

Exploration of the Anomalies in HVAC Data Using Image Simila...

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9th Mediterranean conference on Embedded Computing (MECO)

作者： Novikova, Evgenia Bestuzhev, Mikhail St Petersburg Electrotech Univ LETI Dept Comp Sci & Engn St Petersburg Russia

ISBN: (纸本)9781728169491

The usage of the smart IoT devices has introduced the appearance of new hazardous scenarios of disruption, including possible attacks on heating, ventilation and conditioning (HVAC) systems. The visualization-driven approaches may greatly facilitate the work of analyst when revealing anomalies in dataset especially when there is no or little prior information about the HVAC system functioning. The paper presents an approach to the HVAC data analysis that enables automated search of the days with similar HVAC functioning patterns based on image similarity analysis. The core idea of the approach is to form graphical presentation of the HVAC data for each day and then assess their similarity by calculating structural similarity index for each generated image. Days characterized by high level of dissimilarity can be considered as anomalous ones requiring particular attention of an analyst. To test the approach proposed, we used the VAST MiniChallenge-2 2016 data set that contains logs from the HVAC system.

关键词： HVAC anomaly detection visual analytics search-by-pattern density map RadViz structural similarity index

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Towards an Understanding of Augmented Reality Extensions for Existing 3D data analysis Tools 20

Towards an Understanding of Augmented Reality Extensions for...

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CHI conference on Human Factors in Computing Systems (CHI)

作者： Wang, Xiyao Besancon, Lonni Rousseau, David Sereno, Mickael Ammi, Mehdi Isenberg, Tobias Univ Paris Saclay CNRS INRIA LRI Orsay France Linkoping Univ Norrkoping Sweden Univ Paris Saclay CNRS IJCLab Orsay France Univ Paris 08 Paris France

ISBN: (纸本)9781450367080

We present an observational study with domain experts to understand how augmented reality (AR) extensions to traditional PC-based data analysis tools can help particle physicists to explore and understand 3D data. Our goal is to allow researchers to integrate stereoscopic AR-based visual representations and interaction techniques into their tools, and thus ultimately to increase the adoption of modern immersive analytics techniques in existing data analysis workflows. We use Microsoft's HoloLens as a lightweight and easily maintainable AR headset and replicate existing visualization and interaction capabilities on both the PC and the AR view. We treat the AR headset as a second yet stereoscopic screen, allowing researchers to study their data in a connected multi-view manner. Our results indicate that our collaborating physicists appreciate a hybrid data exploration setup with an interactive AR extension to improve their understanding of particle collision events.

关键词： Immersive analytics 3D visualization User interface Hybrid visualization system

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The Use of Embedded Interaction Mechanisms for Low-Level analysis Tasks 53

The Use of Embedded Interaction Mechanisms for Low-Level Ana...

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53rd Annual Hawaii International conference on System Sciences (HICSS)

作者： Sandouka, Kari Noteboom, Cherie Dakota State Univ Madison SD 57042 USA

ISBN: (纸本)9780998133133

The use of information visualization is a strategy to reduce information overload and cognitive efforts. Interaction mechanisms aid the exploration of data when it is not practical to display all data points in one visual display. This study reports the results of a pilot study. The purpose of the study is to determine what interactive mechanisms are used and how they support a task or set of tasks.

关键词： Information use

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