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

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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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data Narrative Crafting via a Comprehensive and Well-Founded Process 26th

Data Narrative Crafting via a Comprehensive and Well-Founded...

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26th European conference on Advances in databases and Information Systems (ADBIS)

作者： El Outa, Faten Marcel, Patrick Peralta, Veronika da Silva, Raphael Chagnoux, Marie Vassiliadis, Panos Univ Tours Blois Loir & Cher France Rue89 Strastbourg Strastbourg France Univ Paris 08 Paris France Univ Ioannina Ioannina Greece

ISBN: (纸本)9783031157400;9783031157394

data narration is the activity of crafting narratives supported by facts extracted from data exploration and analysis, using interactive visualizations. While data narration has recently attracted much attention, the process of crafting data narratives is loosely documented and has not yet been formally described. In this article, we propose a comprehensive and well-founded process to fill this need. It aims at (i) supporting the complete cycle of data narration, from the exploration of data to the visual rendering of the narrative, (ii) being flexible enough to cover a wide range of crafting practices, and (iii) being well founded upon with a conceptual model of the domain.

关键词： data narrative crafting data journalism Process

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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...

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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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3D Point Cloud dataset Integration for Built Cultural Heritage Structural Assessment 5th

3D Point Cloud Dataset Integration for Built Cultural Herita...

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5th International conference on Protection of Historical Constructions, PROHITECH 2025

作者： Montuori, Manlio Department of Architecture University of Ferrara Ferrara Italy

ISBN: (纸本)9783031873119

The paper aims to delineate a workflow that demonstrates how the application of a digital process can facilitate a comprehensive comprehension of the current crisis state of overturning masonries applied to a case study. By delving into interoperability challenges and details in scan-to-hBIM processes, the approach clarifies how hBIM models can nonetheless underpin operations aimed at maintaining and preserving existing historic assets, even from a structural standpoint, albeit with persistent challenges. This illustrative exploration highlights the efficacy of leveraging digital technologies in advancing the conservation and management practices of built cultural heritage, particularly in addressing structural concerns associated with historic masonries. As dataset accuracy becomes crucial when it comes to architectural heritage, where surveyed objects exhibit complex shapes and significant damage, thus the information should involve meticulous knowledge, anamnesis, visual inspection, and instrumental measures. It is a deliberate, synthetic operation that leads to the formation of an assessment structural model. A key finding of the present paper is that the precision and detail of the model determine the accuracy of structural analysis results, emphasizing the importance of accuracy consideration in order to achieve meaningful and reliable results. As a consequence, the building assessment demonstrated which parts of the building’s facades were overturning, while identifying the thorough kinematic phenomena progressively acting. The related considerations lead to a structural project shaped on the unique characteristics of the complex supported by data as accurately as possible, which also positively influenced the entire architectural design process. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Architectural design

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Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments: A Comparison 9th

Improving Reinforcement Learning Efficiency with Auxiliary T...

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9th Annual conference on Machine Learning, Optimization and data science (LOD)

作者： Lange, Moritz Krystiniak, Noah Engelhardt, Raphael C. Konen, Wolfgang Wiskott, Laurenz Ruhr Univ Bochum Inst Neural Computat Fac Comp Sci Bochum Germany TH Koln Cologne Inst Comp Sci Fac Comp Sci & Engn Sci Gummersbach Germany

ISBN: (纸本)9783031539657;9783031539664

Real-world reinforcement learning (RL) environments, whether in robotics or industrial settings, often involve non-visual observations and require not only efficient but also reliable and thus interpretable and flexible RL approaches. To improve efficiency, agents that perform state representation learning with auxiliary tasks have been widely studied in visual observation contexts. However, for real-world problems, dedicated representation learning modules that are decoupled from RL agents are more suited to meet requirements. This study compares common auxiliary tasks based on, to the best of our knowledge, the only decoupled representation learning method for low-dimensional non-visual observations. We evaluate potential improvements in sample efficiency and returns for environments ranging from a simple pendulum to a complex simulated robotics task. Our findings show that representation learning with auxiliary tasks only provides performance gains in sufficiently complex environments and that learning environment dynamics is preferable to predicting rewards. These insights can inform future development of interpretable representation learning approaches for non-visual observations and advance the use of RL solutions in real-world scenarios.

关键词： Representation learning Auxiliary tasks Reinforcement learning

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

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

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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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TweetVis: a visual approach to explore Twitter conversations over time 1

TweetVis: a visual approach to explore Twitter conversations...

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1st IEEE Colombian Caribbean conference, C3 2023

作者： Llumiquinga, Jose Cuenca, Erick Sallaberry, Arnaud Yachay Tech University Urcuquí Ecuador University of Montpellier Cnrs Amis Paul-Valéry University of Montpellier Lirmm Montpellier France

ISBN: (纸本)9798350341799

Information visualization is a field of visual data analysis that focuses on working with abstract information. It also incorporates interactions that make it easier for users to assimilate and understand the information presented quickly. This work focuses on developing TweetVis, a visualization tool that follows the fundamentals of Twitter data analysis. In particular, TweetVis makes it possible to explore Twitter conversations over time, as these conversations exert significant influence in the social and political spheres, underlining the importance of their analysis and exploration. To access Twitter conversations, use is made of the official Twitter API. Once the data is collected, it goes through a processing process that turns it into a graph, where the nodes represent the tweets, and the links denote the interactions between them. TweetVis allows users to explore conversations generated from a tweet interactively over time. Finally, this tool's effectiveness is tested in a real case, analyzing the tweet generated by a public figure. © 2023 IEEE.

关键词： visualization

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Knowledge-based Graph exploration analysis on Customer's Preference of Insurance Services 10

Knowledge-based Graph Exploration Analysis on Customer's Pre...

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10th International conference on Digital Arts, Media and Technology and 8th ECTI Northern Section conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2025

作者： Chen, Yingfan Kongjit, Chalermpon Media and Technology Chiang Mai University College of Arts Chiang Mai Thailand

ISBN: (纸本)9798331543273

With the increasing number of Chinese students in Thailand, the demand for insurance services from these students has gradually shown diversity and personalized characteristics. However, the current research on the insurance demand of overseas students is relatively insufficient. Based on text analysis and knowledge graph technology, this study focuses on the needs and preferences of Chinese students in Thailand in terms of insurance choices, and presents the research results in a visual form. The researchers collected chat history content of some target groups, as well as public discussion data on social media platforms and forums frequently used by Chinese students in Thailand. The researchers used the text analysis method to extract high-frequency keywords related to international student insurance, and carried out sentiment analysis to obtain the main concerns of current international students in insurance selection. Then, a knowledge graph centered on insurance demand is constructed to visualize key nodes and relationships such as insurance categories, budget preferences, and demand characteristics. © 2025 IEEE.

关键词： Knowledge graph

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Research on the application of Virtual Reality Technology in the Field of Higher Art Education Teaching 24

Research on the application of Virtual Reality Technology in...

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16th International conference on Education Technology and Computers

作者： Zhang, Manyu Jiang, Xiaodong Tianjin Acad Fine Arts Tianjin Peoples R China

ISBN: (纸本)9798400717819

In order to solve the current shortcomings in the teaching of VR-integrated art majors, the creator teaching method is to apply virtual reality technology to the design and practical teaching of art courses. The innovation of this study is reflected in three aspects. Firstly, virtual reality technology is organically combined with traditional ancient architecture in experimental teaching and applied to art teaching courses. In this way, the subjective initiative and leading role of students in teaching can be given full play. This method can play a positive role in promoting students' practical ability and innovation ability. Secondly, the model approach of VR simulation experiments to fully demonstrate traditional architecture is proposed. This paper discusses how to successfully embed art visuals and place VR at the forefront of a progressive curriculum. This study conducted in a Chinese context used Fine Art students (62) as respondents to apply VR technology to their subject area. Part of the raw data was collected by completing a questionnaire, followed by a visual regression (rs = 2.67, p < .0001). The basic data analysis showed that VR allows students to absorb information quickly compared to the usual teaching methods. This method can play an effective role in scientifically evaluating the effectiveness of teaching and targeting improvements. In conclusion, the digital humanities creator pedagogy has been fully applied in the design and practice teaching of art students.

关键词： Virtual Reality Digital Humanities Tradition arts Thematic exploration

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