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

共 1758 条记录，以下是441-450 订阅

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Geovisualization: Multidimensional exploration of the Territory 15

Geovisualization: Multidimensional Exploration of the Territ...

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15th International Joint conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) / 11th International conference on Information visualization Theory and Applications (IVAPP)

作者： Christophe, Sidonie Paris Est Univ LaSTIG IGN ENSG Paris France

ISBN: (纸本)9789897584022

The purpose of this position paper is to emphasize the remaining challenges for geovisualization in an evolutive context of data, users and spatio-temporal problems to solve in an interdisciplinary approach. Geovisualization is the visualization of spatio-temporal data, phenomena and dynamics on earth, based on the user interaction with heterogeneous data, and their capacities of perception and cognition. This implies to bring closer together knowledge, concepts and models from related scientific visualization domains, for a better understanding, interpretation and analysis of spatio-temporal phenomena on earth. We currently face and cross several types of complexities, regarding spaces, data, models and tools. Our position here, based on past and on-going works, as first proofs of concept, is to model a multidimensional exploration of the territory, because integrating explorations of uses, styles, interaction and immersion capacities, until various 'points of view' on the represented spatio-temporal phenomenon.

关键词： Geovisualization visual analysis Style Interaction Immersion

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exploration on Optimization of Business Talent Training in Digital Economy Era 22

Exploration on Optimization of Business Talent Training in D...

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Proceedings of the 6th International conference on Digital Technology in Education

作者： Yijun Zhang Dan Yuan School of Finance and Economics Guangdong University of Science and Technology China School of Management Guangdong University of Science and Technology China

ISBN: (纸本)9781450398091

The booming development of China's digital economy is of great significance to realizing high-quality employment and promoting the healthy and sustainable development of the economy. Meanwhile, it also brings new opportunities and challenges to business talent training. Based on the literature on "business talent training" in the core journals of Peking University from 2010 to 2021 as sample data, this paper makes a visual bibliometric analysis and finds that the number of literature on business talent training generally shows a trend of fluctuation and rise. In recent years, more and more literature are related to the concepts of "intelligent manufacturing", "enterprise digital transformation", "new era", "new business", etc. Therefore, it is concluded that the cultivation of business talents in the era of digital economy should fully combine information technology and conform to the background of the digital era. Based on this, this paper discusses the practical challenges of digital economy to business talent training, and accordingly explores the implementation path of business talent training in the era of digital economy.

关键词： digital economy new business talent training business

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Self-Supervised visual Representation Learning Framework for Road Sign Classification

Self-Supervised Visual Representation Learning Framework for...

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Artificial Intelligence in Education and Industry 4.0 (IDICAIEI), DMIHER International conference on

作者： Godson Michael Dsilva Vinayak Ashok Information Technology Department Finolex Academy of Management and Technology Ratnagiri India

In the landscape of machine learning, the dominance of supervised learning in crafting specialized models for specific tasks is evident, yet its confinement in terms of broader generalization has underscored the quest for more versatile models capable of acquiring multiple skills without an insurmountable reliance on labelled data. A pivotal avenue toward this goal lies in self-supervised learning (SSL), which promises to instill foundational knowledge and a semblance of common sense into AI systems. This investigation undertakes a comprehensive exploration of diverse SSL strategies, elucidating their inherent constraints on the road sign detection and classification usecase. Through an intricate comparative analysis spotlighting Context Autoencoders (CAE) and MoCoV3 - two prominent state-of-the-art methodologies leveraging masked image modelling and contrastive learning, respectively - we unravel their distinct attributes and limitations. Furthermore, we introduce an innovative end-to-end framework meticulously tailored for self-supervised road sign classification. Our roadmap encompasses the infusion of domain-specific expertise in road signs into this framework, followed by rigorous benchmarking against state-of-the-art SSL models across diverse road sign datasets, employing a spectrum of evaluation metrics. This study emerges as a stepping stone, propelling AI closer to comprehesive intelligence by harnessing the potency of self-supervised paradigms.

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iConViz: Interactive visual exploration of the Default Contagion Risk of Networked-Guarantee Loans 15

iConViz: Interactive Visual Exploration of the Default Conta...

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15th IEEE conference on visual Analytics Science and Technology (VAST)

作者： Niu, Zhibin Li, Runlin Wu, Junqi Cheng, Dawei Zhang, Jiawan Tianjin Univ Coll Intelligence & Comp Tianjin Peoples R China Shanghai Jiao Tong Univ Dept Comp Sci & Engn Shanghai Peoples R China

ISBN: (纸本)9781728180090

Groups of enterprises can serve as guarantees for one another and form complex networks when obtaining loans from commercial banks. During economic slowdowns, corporate default may spread like a virus and lead to large-scale defaults or even systemic financial crises. To help financial regulatory authorities and banks manage the risk associated with networked loans, we identified the default contagion risk, a pivotal issue in developing preventive measures, and established iConViz, an interactive visual analysis tool that facilitates the closed-loop analysis process. A novel financial metric, the contagion effect, was formulated to quantify the infectious consequences of guarantee chains in this type of network. Based on this metric, we designed and implemented a series of novel and coordinated views that address the analysis of financial problems. Experts evaluated the system using real-world financial data. The proposed approach grants practitioners the ability to avoid previous ad hoc analysis methodologies and extend coverage of the conventional Capital Accord to the banking industry.

关键词： visualization analytics Regulatory visualization

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MBTIviz: A visualization System for Research on Psycho-Demographics and Personality 9th

MBTIviz: A Visualization System for Research on Psycho-Demog...

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9th International conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023

作者： Yang, Yutong Dong, Xiaoju Tian, Xuefei Zhang, Yanling Zhou, Meng SJTU Paris Elite Institute of Technology Shanghai Jiao Tong University Shanghai200240 China Department of Computer Science Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9789819959679

The increasing interest in exploring the correlation between personality traits and real-life individual characteristics has been driven by the growing popularity of the Myers‒Briggs Type Indicator (MBTI) on social media platforms. To investigate this correlation, we conduct an analysis on a Myers‒Briggs Type Indicator (MBTI)-demographic dataset and present MBTIviz, a visualization system that enables researchers to conduct a comprehensive and accessible analysis of the correlation between personality and demographic variables such as occupation and nationality. While humanities and computer disciplines provide valuable insights into the behavior of small groups and data analysis, analysing demographic data with personality information poses challenges due to the complexity of big data. Additionally, the correlation analysis table commonly used in the humanities does not offer an intuitive representation when examining the relationship between variables. To address these issues, our system provides an integrated view of statistical data that presents all demographic information in a single visual format and a more informative and visually appealing approach to presenting correlation data, facilitating further exploration of the linkages between personality traits and real-life individual characteristics. It also includes machine learning predictive views that help nonexpert users understand their personality traits and provide career predictions based on demographic data. In this paper, we utilize the MBTIviz system to analyse the MBTI-demographic dataset, calculating age, gender, and occupation percentages for each MBTI and studying the correlation between MBTI, occupation, and nationality. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： data visualization

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visual analysis of interactive document clustering streams 20

Visual analysis of interactive document clustering streams

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Working conference on Advanced visual Interfaces (AVI)

作者： Cabral, Eric M. Milios, Evangelos E. Minghim, Rosane Univ Sao Paulo Sao Carlos SP Brazil Dalhousie Univ Halifax NS Canada Univ Coll Cork Cork Ireland

ISBN: (纸本)9781450375351

Interactive clustering techniques play a key role by putting the user in the clustering loop, allowing her to interact with document group abstractions instead of full-length documents. It allows users to focus on corpus exploration as an incremental task. To explore Information Discovery's incremental aspect, this article proposes a visual component to depict clustering membership changes throughout a clustering iteration loop in both static and dynamic data sets. The visual component is evaluated with an expert user and with an experiment with data streams.

关键词： Document clustering visual analytics Document streams Text visualization

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Locating Embodied Forms of Urban Wayfinding: An exploration 16th

Locating Embodied Forms of Urban Wayfinding: An Exploration

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16th International conference on Diversity, Divergence, Dialogue, iconference 2021

作者： Noone, Rebecca University of Toronto Toronto Canada

ISBN: (纸本)9783030712914

The following short paper looks at the embodied information practice of urban wayfinding in the context of pervasive locative media and mobile mapping technology. The author asks: what informational cues are encoded in the urban landscape and activated through embodied practices of wayfinding? To explore this question of street-level wayfinding, the author utilizes the exploratory method of arts-based research, focusing on the act of giving directions, both spoken and drawn, and developing the research in four unique cities: Amsterdam, London, New York, and Toronto. analysis of the data uses visual grounded theory and situational analysis. Based on the findings, the author classifies three types of urban forms that helped guide navigation during these wayfinding encounters: pathways, transmitters, and markings. In unpacking the variants within these registers of spatial sense-making, the author identifies informational elements of the city present in its material and built environment but also in its social and tacit forms. The paper offers a framework to look at the multiplicities of information, structured and embodied, that guide wayfinding, situated beyond (but co-existent with) mobile mapping tools. © 2021, Springer Nature Switzerland AG.

关键词： Arts-based methods Embodied information practices Urban wayfinding

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Towards a Conceptual Model for data Narratives 1

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39th International conference on Conceptual Modeling (ER)

作者： El Outa, Faten Francia, Matteo Marcel, Patrick Peralta, Veronika Vassiliadis, Panos Univ Tours Blois Loir & Cher France Univ Ioannina Ioannina Greece Univ Bologna Cesena Italy

ISBN: (数字)9783030625221

ISBN: (纸本)9783030625221;9783030625214

data narration is the activity of producing stories supported by facts extracted from data analysis, possibly using interactive visualizations. In spite of the increasing interest in data narration in several communities (e.g. journalism, business, e-government), there is no consensual definition of data narrative, let alone a conceptual or logical model of it. In this paper, we propose a conceptual model of data narrative for exploratory data analysis. It is based on four layers that reflect the transition from raw data to the visual rendering of the data story: factual, intentional, structural and presentational. This model aims to support the entire lifecycle of building a data narrative, starting from an intentional goal: fetch and explore data, bring out highlights, derive important messages, structure the plot of the data narrative, and render it in a visual manner. Our contributions include a description of the model and its instantiation for several real examples showing that it covers data narration needs.

关键词： data narrative visual narrative data storytelling data exploration

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JobViewer: Graph-based visualization for Monitoring High-Performance Computing System

JobViewer: Graph-based Visualization for Monitoring High-Per...

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IEEE/ACM International Symposium on Big data Computing (BDC)

作者： Tommy Dang Ngan V.T. Nguyen Jie Li Alan Sill Jon Hass Yong Chen Department of Computer Science Texas Tech University Lubbock Texas USA High Performance Computing Center Texas Tech University Lubbock Texas USA Dell Inc Austin Texas USA

visualization aims to strengthen data exploration and analysis, especially for complex and high-dimensional data. High-performance computing (HPC) systems are typically large and complicated instruments that generate massive performance and operation time series. Monitoring HPC systems’ performance is a daunting task for HPC admins and researchers due to their dynamic natures. This work proposes a visual design using the bipartite graph’s idea to visualize HPC clusters’ structure, metrics, and job scheduling data. We built a web-based prototype, called JobViewer, that integrates advanced methods in visualization and human-computer interaction (HCI) to demonstrate the benefits of visualization in real-time monitoring HPC centers. We also showed real use cases and a user study to validate the efficiency and highlight the current approach’s drawbacks.

关键词： Human computer interaction visualization High performance computing Source coding Time series analysis data visualization Bipartite graph

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visual Analytics Meets Process Mining: Challenges and Opportunities

Visual Analytics Meets Process Mining: Challenges and Opport...

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International conference on Process Mining (ICPM)

作者： Silvia Miksch Institute of Visual Computing and Human-Centered Technology Vienna University of Technology (TU Wien) Favoritenstraße 9-11/193-07 Vienna Austria

visual Analytics integrates the outstanding capabilities of humans in terms of visual information exploration with the enormous processing power of computers to form a powerful knowledge discovery environment. In other words, visual Analytics is the science of analytical reasoning facilitated by interactive interfaces and captures the information discovery process keeping the human in the loop. Process Mining aims to extract information and knowledge from event logs to discover, monitor, and improve processes in a variety of application domains. Such event data or traces of activities often possess data quality issues as well as exhibit unexpected behavior and complex relations. Consequently, before and during the implementation of interactive (automated or semi-automated) analysis methods, such as Process Mining algorithms, the analyst needs to explore, investigate, and understand the data at hand in order to decide which analysis methods might be appropriate. The combination of interactive visual data analyses and exploration with Process Mining algorithms makes complex information structures more comprehensible and facilitates new insights. In this talk, I will illustrate the concepts of visual Analytics, how visual Analytics combined with Process Mining techniques supports to extract more insights from complex event data, and elaborate about the challenges and opportunities for analyzing process data with visual Analytics methods. Various examples will illustrate what has been achieved so far and show possible future directions and challenges.

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