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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301-310 订阅

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The Power of visual Storytelling: Analyzing Customer Personalities with Tableau

The Power of Visual Storytelling: Analyzing Customer Persona...

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International conference on Ubiquitous and Future Networks, ICUFN

作者： Jadov Menaka Alwin Poulose School of Data Science Indian Institute of Science Education and Research Thiruvananthapuram (IISER TVM) Thiruvananthapuram Kerala India

ISBN: (数字)9798350385298

ISBN: (纸本)9798350385304

The customer personality analysis serves as an indepth exploration into the realm of a company's ideal customers, meticulously examining their characteristics, behaviors, and preferences. This paper's analytical approach aims to empower businesses by unraveling the intricacies of customer bases and enabling the customization of products based on diverse customer segments' specific needs and concerns. By leveraging advanced visualization techniques like histograms, bar charts, donut charts, and table charts within Tableau, this study seeks to enhance the understanding of customer attributes, facilitating more targeted and effective marketing strategies. Understanding customers is pivotal for businesses seeking to tailor their products and marketing efforts. Customer personality analysis delves into the wealth of data available, allowing for a nuanced understanding of customer segments. The objective is to shift from a generalized approach to a more targeted one, where resources are allocated efficiently and marketing efforts are tailored to resonate with specific customer groups.

关键词： visualization Profitability data visualization Companies Strategic planning Market research Product development

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Information visualisation: AI and visual Analytics and data Science, IV 2021

Information Visualisation: AI and Visual Analytics and Data ...

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25th International conference Information visualisation, IV 2021

ISBN: (纸本)9781665438278

The proceedings contain 50 papers. The topics discussed include: visualization of sub-network sets by iterative graph sampling from large scale networks;multidimensional data visualization for investigation of skin transparency;towards a visual approach for representing analytical provenance in exploration processes;automatic creation of a vowel dataset for performing prosody analysis in ASD screening;visual analytics to support industrial vehicle fleet planning;visualization tool to support fraud detection;real-time visualization reconstruction in a real-world environment using augmented reality;visually exploring a collaborative augmented reality taxonomy;a brief review of dashboard visualizations employed to support management or business decisions;and visual exploration of the inner representation learned by a convolutional neural network.

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visual exploration of Genetic Sequence Variants in Pangenomes

Visual Exploration of Genetic Sequence Variants in Pangenome...

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24th Eurographics conference on visualization, EuroVis 2022

作者： van den Brandt, Astrid Jonkheer, Eef M. van Workum, Dirk-Jan M. Smit, Sandra Vilanova, Anna Eindhoven University of Technology Netherlands Bioinformatics Group Wageningen University Netherlands

ISBN: (纸本)9783038681854

To study the genetic sequence variation underlying traits of interest, the field of comparative genomics is moving away from analyses with single reference genomes to pangenomes;abstract representations of multiple genomes in a species or population. Pangenomes are beneficial because they represent a diverse set of genetic material and therefore avoid bias towards a single reference. While pangenomes allow for a complete map of the genetic variation, their large size and complex data structure hinder contextualization and interpretation of analysis results. Current visualization strategies fall short because they are created for single references or do not illustrate links to metadata. We present a work in progress version of a novel visual analytics strategy for pangenomic variant analysis. Our strategy is designed through an intensive involvement of genome scientists. The current design uniquely exploits interactive sorting, aggregation, and linkage relations from different perspectives of the data, to help the genome scientists explore and evaluate variant-trait associations in the context of multiple references and metadata. © 2022 The Author(s) Eurographics Proceedings © 2022 The Eurographics Association.

关键词： Metadata

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Demo: CaseFinder: Automated visual and Quantitative analysis Tool for Police Narrative

Demo: CaseFinder: Automated Visual and Quantitative Analysis...

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IEEE International conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)

作者： Martin Brown Dominic Thomas Md Abdullah Al Hafiz Khan Abm Adnan Azmee Monica Nandan Yang Pei Department of Data Science and Analytics Kennesaw State University Marietta USA Information Systems Kennesaw State University Marietta USA Computer Science Kennesaw State University Marietta USA Computer Science Social Work and Human Services Kennesaw State University Marietta USA

ISBN: (数字)9798350345018

ISBN: (纸本)9798350345025

This demonstration introduces the CaseFinder tool, a GUI designed to automate visualizations and quantitatively analyze 911 police reports. The tool allows for efficient data exploration for non-technical users integrating behavioral health-related keywords. By amalgamating diverse keyword category inputs, CaseFinder provides a holistic approach to analyzing reports by uncovering indications of behavioral health problems while including perspectives from multiple professional domains. Ultimately, CaseFinder aims to improve the understanding of the magnitude of the problem of behavioral health issues involved in 911 crises to mitigate reoccurrence.

关键词： visualization Law enforcement Statistical analysis data visualization Graphical user interfaces

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Complex Networks exploration With Triangles

Complex Networks Exploration With Triangles

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IEEE International conference on Big data

作者： Shahadat Hossain Raheem Mir Emam Hossain Department of Computer Science University of Northern British Columbia Prince George Canada Mathematics and Computer Science University of Lethbridge Lethbridge Alberta Canada

Triangles are an essential structure in complex network analysis representing metrics such as clustering coefficient and transitivity. In this work, we employ the recently introduced “Triangle Centrality” in exploring cohesive sub-networks of interest within the maximum $k -$core of complex networks. Motivated by the recent interest in higher-order connectivity patterns to understand fundamental structures that control behaviour of complex systems, we employ triangles as “higher-order” structural units in complex systems. Each triangle in the network is attributed with a numeric score, the so called $k -$count, to indicate its “influence” calculated based on the number of other triangles it is associated with. We demonstrate our proposed method to perform visual exploration of cohesive sub-networks of interest on a well-studied benchmark social network “Lusseau’s Dolphin Social Network”.

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SUMMVIS: Interactive visual analysis of Models, data, and Evaluation for Text Summarization 59

SUMMVIS: Interactive Visual Analysis of Models, Data, and Ev...

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Joint conference of 59th Annual Meeting of the Association-for-Computational-Linguistics (ACL) / 11th International Joint conference on Natural Language Processing (IJCNLP) / 6th Workshop on Representation Learning for NLP (RepL4NLP)

作者： Vig, Jesse Kryscinski, Wojciech Goel, Karan Rajani, Nazneen Fatema Salesforce Res Palo Alto CA 94301 USA Stanford Univ Stanford CA 94305 USA

ISBN: (纸本)9781954085565

Novel neural architectures, training strategies, and the availability of large-scale corpora haven been the driving force behind recent progress in abstractive text summarization. However, due to the black-box nature of neural models, uninformative evaluation metrics, and scarce tooling for model and data analysis, the true performance and failure modes of summarization models remain largely unknown. To address this limitation, we introduce SUMMVIS, an open-source tool for visualizing abstractive summaries that enables fine-grained analysis of the models, data, and evaluation metrics associated with text summarization. Through its lexical and semantic visualizations, the tools offers an easy entry point for in-depth model prediction exploration across important dimensions such as factual consistency or abstractiveness.

关键词： Semantics

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GraphFederator: Federated visual analysis for Multi-party Graphs

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

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Pacific (formerly Asia-Pacific APVIS) visualization Symposium

作者： Dongming Han Haiyang Zhu Wei Chen Rusheng Pan Yijing Liu Jiehui Zhou Haozhe Feng Tianye Zhang Xumeng Wang Minfeng Zhu Jianrong Tao Changjie Fan Xiaolong Luke Zhang State Key Lab of CAD&CG Zhejiang University China Hithink RoyalFlush Information Network Co. Ltd. China Wuchan Zhongda Digital Technology Co. Ltd. China Ministry of Education Laboratory of Art and Archaeology Image (Zhejiang University) China College of Computer Science Nankai University China Zhejiang University China Fuxi AI Lab Netease China Pennsylvania State University USA

ISBN: (数字)9798350393804

ISBN: (纸本)9798350393811

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： visualization Analytical models Federated learning data visualization data models Encryption

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Literature analysis on the research status of mass entrepreneurship and innovation training projects : Document metrology based on CNKI database 3

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

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3rd International conference on Education, Knowledge and Information Management, ICEKIM 2022

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

ISBN: (纸本)9781665416665

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. © 2022 IEEE.

关键词： Medical education

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NEXAS: A visual Tool for Navigating and Exploring Argumentation Solution Spaces 9

NEXAS: A Visual Tool for Navigating and Exploring Argumentat...

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9th International conference on Computational Models of Argument (COMMA)

作者： Dachselt, Raimund Gaggl, Sarah Alice Kroetzsch, Markus Mendez, Julian Rusovac, Dominik Yang, Mei Tech Univ Dresden Interact Media Lab Dresden Dresden Germany Tech Univ Dresden Log Programming & Argumentat Grp Dresden Germany Tech Univ Dresden Knowledge Based Syst Grp Dresden Germany Tech Univ Dresden Ctr Tactile Internet CeTI Dresden Germany Tech Univ Dresden Cluster Excellence Phys Life PoL Dresden Germany

ISBN: (纸本)9781643683065;9781643683072

Recent developments on solvers for abstract argumentation frameworks (AFs) made them capable to compute extensions for many semantics efficiently. However, for many input instances these solution spaces can become very large and incomprehensible. So far, for the further exploration and investigation of the AF solution space the user needs to use post-processing methods or handcrafted tools. To compare and explore the solution spaces of two selected semantics, we propose an approach that visually supports the user, via a combination of dimensionality reduction of argumentation extensions and a projection of extensions to sets of accepted or rejected arguments. We introduce the novel web-based visualization tool NEXAS that allows for an interactive exploration of the solution space together with a statistical analysis of the acceptance of individual arguments for the selected semantics, as well as provides an interactive correlation matrix for the acceptance of arguments. We validate the tool with a walk-through along three use cases.

关键词： abstract argumentation visualization solution space exploration

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32nd European Safety and Reliability conference, ESREL 2022

32nd European Safety and Reliability Conference, ESREL 2022

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32nd European Safety and Reliability conference, ESREL 2022

ISBN: (纸本)9789811851834

The proceedings contain 438 papers. The special focus in this conference is on Safety and Reliability. The topics include: Towards a Harmonized Framework for Vessel Inspection via Remote Techniques;Probabilistic Risk analysis in the Overhaul of Aero-engines using a combination of Bayesian Networks and Fuzzy Logic aiming at meeting Civil Aviation Agency Regulations and the requirements AS9100 - A Case Study;comparing distributed and integrated Hazard analysis Environments;influence of Cargo Arrangement on Aircraft Mass Center of Gravity;designing reliable, data-driven maintenance for aircraft systems with applications to the aircraft landing gear brakes;introducing the Structured exploration of Complex Adaptations to learn from operations in an Air Navigation Service Provider;application of Monte Carlo simulation to the reliability estimation of an experimental data Communication System;FBG-based optical sensor networks for thermal measurements in aerospace applications;risk analysis of Unmanned Air Vehicle and Beyond visual Line of Sight Flights: How Does Systems Thinking Add to the Specific Operations Risk Assessment Method?;estimation of industrial assets ageing and maintenance efficiency with interval censored data;application of industry standards and management commitment to asset management in a petrochemical company;a general framework proposal for modelling complex production systems considering maintenance and operative factors under uncertain. Case study in Mining Industry;managing Asset and Supply Chain Resilience Using A Digital Risk Twin;Exploring how automated technology and advanced driver-assistance systems (ADAS) are taught in the Norwegian driver-training industry. A qualitative study;reliability of fault-tolerant system architectures for automated driving systems;optimizing Multiple Reinsurance Contracts.

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