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

共 1754 条记录，以下是71-80 订阅

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GraphFederator: Federated visual analysis for Multi-party Graphs 17

GraphFederator: Federated Visual Analysis for Multi-party Gr...

引用

17th Pacific visualization conference (PacificVis)

作者： Han, Dongming Zhu, Haiyang Chen, Wei Pan, Rusheng Liu, Yijing Zhou, Jiehui Feng, Haozhe Zhang, Tianye Wang, Xumeng Zhu, Minfeng Tao, Jianrong Fan, Changjie Zhang, Xiaolong (Luke) Zhejiang Univ State Key Lab CAD&CG Hangzhou Peoples R China Hithink RoyalFlush Informat Network Co Ltd Hangzhou Peoples R China Zhejiang Univ Minist Educ Lab Art & Archaeol Image Hangzhou Peoples R China Nankai Univ Coll Comp Sci Tianjin Peoples R China Zhejiang Univ Hangzhou Peoples R China Netease Fuxi AI Lab Hangzhou Peoples R China Penn State Univ University Pk PA 16802 USA Wuchan Zhongda Digital Technol Co Ltd Hangzhou Peoples R China

ISBN: (纸本)9798350393811;9798350393804

This paper presents GraphFederator, a novel approach to construct federated representations of multi-party graphs and supports privacy-preserving visual analysis of graphs. Inspired by the concept of federated learning, we reformulate the analysis of multi-party graphs into a decentralization process. The new federation framework consists of a shared module that is responsible for federated modeling and analysis, and a set of local modules that run on respective graph data. Specifically, we propose a Federated Graph Representation Model (FGRM) that is learned from encrypted characteristics of multi-party graphs in local modules. We also design multiple visualization tools for federated visualization, exploration, and analysis of multi-party graphs. Experimental results on two datasets demonstrate the effectiveness of our approach.

关键词： Federated learning Graph analysis Graph visual analysis Representation learning

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The TMMTA Model: Momentum Tracking and analysis of Tennis Matches 24

The TMMTA Model: Momentum Tracking and Analysis of Tennis Ma...

引用

2024 International conference on Smart City and Information System, ICSCIS 2024

作者： Chen, Feiyang Guo, Yang Wang, Tianqi School of Management Northeastern University at Qinhuangdao Qinhuangdao Hebei066099 China School of Mathematics and Statistics Northeastern University at Qinhuangdao Qinhuangdao Hebei066099 China

ISBN: (纸本)9798400710155

In sports, the generation and change of momentum are always accompanied, and tennis is no exception. It is of great significance for winning to analyze how the momentum generates, changes and its impact on the score in the tennis match. Most of the existing studies theoretically study the nature and influence of momentum in tennis matches or focus on the point results and whether winning or losing the match. However, the analysis of momentum changes in data series and the exploration of the relationship and influence degree of specific behavior and data features with momentum are missing. To this end, this study constructs a Tennis Matches Momentum Tracking and analysis Model (TMMTA) based on the time-series analysis to analyze the data of five games Carlos Alcaraz participated in and the model is applied to multiple players and multiple matches to verify the prediction effect and conclusion of the model. Experiments show that the visual analysis results are very good, which can effectively analyze the momentum changes and specific performance in players' matches and provide insight for player training and match strategy. The three game behaviors, double errors, untouchable winning shots and unforced errors, have the most weight on scoring and are closely related to strategic momentum. Strategic momentum has a higher impact on matches score than mental momentum, and the combination of the two is the best prediction. This has important implications for coaches to value and utilize the role of Momentum. © 2024 ACM.

关键词： Tennis

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Democratizing co-production of thematic co-explorations for Citizen Observatories 9

Democratizing co-production of thematic co-explorations for ...

引用

9th International conference on Smart and Sustainable Technologies (SpliTech)

作者： Lopez-de-Ipina, Diego Sanchez-Corcuera, Ruben Eduardo Vergara, Felipe Emaldi, Mikel Wolosiuk, Dawid Casado-Mansilla, Diego Feliciotti, Alessandra Peters-Anders, Jan Univ Deusto Fac Engn Bilbao Spain Univ Deusto DeustoTech Bilbao Spain VRVis Forsch GmbH Visual Analyt Grp Vienna Austria MindEarth Biel Switzerland AIT Austrian Inst Technol GmbH Vienna Austria

ISBN: (纸本)9798350390797;9789532901351

Citizen Observatories are a promising instrument to drive societal behaviour change towards greener more sustainable practices. However, assembling Citizen Observatories is not easy, since apart from the continuous engagement of their participants, there is the need to have some specialized domain and technical knowledge. data quality, continuous engagement and retention and factual impact into decision making are three usual roadblocks which impend a wider adoption of this practice. This paper explains how GREENGAGE project aims to democratize the co-production of thematic co-explorations and overcome those barriers.

关键词： Citizen Observatory thematic co-exploration co-production data analysis Green Deal

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Interpreting Autonomous Driving Corner Cases: A visual Analytics Approach 17

Interpreting Autonomous Driving Corner Cases: A Visual Analy...

引用

17th Pacific visualization conference (PacificVis)

作者： Sun, Yi Shao, Zekai Qiu, Xingyu Li, Yun Liu, Ting Xiang, Linbing Sun, Dong Chen, Siming Fudan Univ Shanghai Peoples R China NIO Shanghai Peoples R China

ISBN: (纸本)9798350393811;9798350393804

With the progression of artificial intelligence, there has been substantial advancement in autonomous driving technology. However, even the most advanced systems may confront failures in certain corner cases, necessitating enhanced analytical approaches. Traditional approaches focused on the numerical analysis of isolated sensor data, are often insufficient for deriving meaningful insights in such situations. To address this inadequacy, we propose a visual analytics approach, crafted to aid domain experts in performing analyses and extracting system improvements from cases with unexpected behaviors. This approach intricately integrates extensive driving scenarios and low-level module behaviors into the autonomous driving decision-making process, utilizing rich visualizations and an interface for interactive exploration and systematic synthesis of findings. Uniquely, our system opens the "black box" of modules in the decision-making pipeline during corner cases, taking into account both the overall decision-making pipeline and the fine-grained behaviors of the modules in the pipeline, setting our approach apart from previous works. To validate our system's effectiveness, we perform two case studies, inviting domain experts for evaluation, and the results confirm our system's efficacy in allowing experts to obtain crucial insights into autonomous driving systems.

关键词： visual Analytics-data visualization-Interactive visualization Autonomous Driving-AD Simulations-Corner Cases

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High-level Grammars for visualization and visual Analytics 36

High-level Grammars for Visualization and Visual Analytics

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36th SIBGRAPI conference on Graphics, Patterns and Images (SIBGRAPI)

作者： Moreira, Gustavo Laget, Marcos FerwiraI, Nivan Miranda, Fabio Univ Illinois Chicago IL 60680 USA Univ Fed Fluminense Niteroi RJ Brazil Univ Fed Pernambuco Recife PE Brazil

ISBN: (纸本)9798350338737;9798350338720

The increase in data availability and the popularization of data science brought a continuously growing need to use visualizations to explore complex data. Creating new visualizations, however, is a difficult task that often requires extensive programming expertise. High-level grammars for authoring visualizations provide a systematic and flexible way to specify visualizations in a declarative manner, lowering the entry barrier for data analysis. Such grammars effectively assist in the exploration of the visualization design space and of complex datasets. The goal of this tutorial paper is to then provide a summary of recently proposed grammars, so that a broad audience (e.g., students, researchers, practitioners) can better understand how they are designed and used in practice for visualization and visual analytics tasks.

关键词： visual analytics

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Current Status of the Application of Metaverse in Education: visual analysis Based on Knowledge Graphs 4

Current Status of the Application of Metaverse in Education:...

引用

4th International conference on Educational Technology, ICET 2024

作者： Zhou, Xiaochun Jia, Ruotian Li, Xing Tang, Minmin Qi, Liu Jianghan University Institute of Education Wuhan China Luzhou Normal Affiliated Primary School Chengxi School Luzhou China

ISBN: (纸本)9798350376944

Based on the relevant papers and citation data on the application of the metaverse in education published in SSCI and SCI-E in Web of Science from 2011 to 2024, this study uses VOSviewer and CiteSpace for visual analysis. From the perspectives of literature authors, countries, research hotspots, and research trend evolution, the mainstream research hotspots in this field are summarized to grasp the development pulse of this field. Research has found that: (1) The application of the metaverse in education has received increasing attention in the academic community. Countries/affiliated institutions located in the same region are close partners in scientific cooperation;(2) There is a clear evolutionary path in the research focus, shifting from understanding the educational potential of the metaverse to understanding its application value and its impact on learner performance and perception;(3) The application of the metaverse in education requires further exploration of future directions to address challenges. © 2024 IEEE.

关键词： Knowledge graph

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From data to Decisions: Optimizing Supply Chain Management with Machine Learning-Infused Dashboards

From Data to Decisions: Optimizing Supply Chain Management w...

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2023 International conference on Industry Sciences and Computer Science Innovation, iSCSi 2023

作者： Zimmermann, Robert Brandtner, Patrick University of Applied Sciences Upper Austria Roseneggerstraße 15 Wels4600 Austria

This paper examines how business users can leverage machine learning and data analytics through dashboards to optimize their decision making in demand-side supply chain management. We present a case study of an Austrian B2B hygiene product retailer that needed to provide its top management, sales representatives, and marketing managers with more relevant information to improve business intelligence and to enhance customer acquisition and retention. To generate this information, we utilized various data analysis and machine learning methods, including RFM analysis, market basket analysis, TURF analysis, and demand forecasting, using real-life transaction data. To provide business users with easy access to this information, we developed dashboards that integrate these methods providing an interactive and visual tool for data exploration and understanding. We conclude that dashboards can enable, business users to make better informed and effective decisions on the demand side of supply chains leading to improved sales performance and increased customer satisfaction. © 2024 The Authors. Published by ELSEVIER B.V.

关键词： Supply chain management

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Intelligent ESPs Diagnostic Model Based on Big data and Machine Learning

Intelligent ESPs Diagnostic Model Based on Big Data and Mach...

引用

2024 Abu Dhabi International Petroleum Exhibition and conference, ADIPEC 2024

作者： Jiang, Lu Jiang, LiPing Guo, Songyi Xue, Heng Yang, Lingfeng Tang, Xialan China Zhenhua Oil Co. Ltd. Beijing China Chengdu Northern Petroleum Exploration and Development Technology Co. Ltd. Sichuan Chengdu China

ISBN: (纸本)9781959025498

There are various types of available data, with different data structures, dimensions, and intervals. Conventional big data algorithms can lead to poor interpretability. In this study, novel methods are proposed based on big data analysis and machine learning. First, the data are categorized into 4 pairs to build parameter analysis model: pump static data, pump dynamic data, production static data, and production dynamic data. Combining static and dynamic data to establish parameter analysis modeling and different data pairs adopt different modeling methods: current and voltage data adopt picture recognition algorithm, vibration data adopt time domain analysis, and production data adopt random forest algorithm. Then, a deep neural network is developed to couple four models to diagnose ESPs production status. All the models have high accuracy through optimization. In the end, a management platform had been established for ESP wells including data visualization, production analysis, fault diagnose and warning. visual production dynamic tracking management can improve the management efficiency of ESP wells and reduce the cost of future workover and relocation. Copyright 2024, Society of Petroleum Engineers.

关键词： Deep neural networks

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exploration of 3D Image Virtual Reconstruction System Based on visual Communication Technology

Exploration of 3D Image Virtual Reconstruction System Based ...

引用

2023 International conference on data Science and Network Security, ICDSNS 2023

作者： Chen, Qiuyu Xi'an Translation Institute Shaanxi Xi'an China

ISBN: (纸本)9798350301595

With the development of the times, the use of 3D image virtual reconstruction (IVR) systems is increasing. The 3D IVR system can solve the problems of poor user experience quality and low human-machine interaction efficiency, so the research significance is very significant. However, nowadays, 3D IVR systems are facing issues of reconstruction accuracy. If this problem can be solved, it can greatly improve the efficiency of the 3D IVR system. Therefore, this article focused on the analysis of a 3D IVR system based on visual communication technology, aiming to improve the reconstruction accuracy of the 3D IVR system through visual communication technology. This article experimentally tested the reconstruction accuracy of a 3D IVR system using visual communication technology, with a maximum accuracy of 74% and a minimum accuracy of 62%. However, traditional 3D IVR systems had a maximum accuracy of 56% and a minimum accuracy of 50%. From this experimental data, it can be inferred that the use of visual communication technology can improve the reconstruction accuracy of 3D IVR systems. This indicated that visual communication technology has achieved good results in 3D IVR systems. © 2023 IEEE.

关键词： visual communication

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Proceedings - 2024 IEEE visualization conference - Short Papers, VIS 2024

Proceedings - 2024 IEEE Visualization Conference - Short Pap...

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2024 IEEE visualization and visual Analytics conference, VIS 2024

ISBN: (纸本)9798350354850

The proceedings contain 66 papers. The topics discussed include: bringing data into the conversation: adapting content from business intelligence dashboards for threaded collaboration platforms;AEye: a visualization tool for image datasets;feature clock: high-dimensional effects in two-dimensional plots;curve segment neighborhood-based vector field exploration;micro visualizations on a smartwatch: assessing reading performance while walking;guided statistical workflows with interactive explanations and assumption checking;opening the black box of 3D reconstruction error analysis with VECTOR;and an Overview+Detail layout for visualizing compound graphs.

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