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15th International conference on Ubiquitous and Future Networks (ICUFN)

作者： Menaka, Jadov Poulose, Alwin Indian Inst Sci Educ & Res Thiruvananthapuram IIS Sch Data Sci Thiruvananthapuram 695551 Kerala India

ISBN: (纸本)9798350385304;9798350385298

The customer personality analysis serves as an in-depth 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： Customer Personality analysis visualization Techniques data visualization Intelligent data Analytics data Analytics Techniques Interactive dashboards Decision-making Customer Behavior Campaign Metrics Demographics

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An Improvement on exploration Step of Whale Optimization Algorithm with Levy Distribution for Classification Problems 5

An Improvement on Exploration Step of Whale Optimization Alg...

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5th International conference on Big data Analytics and Practices (IBDAP)

作者： Pravesjit, Sakkayaphop Kantawong, Krittika Kamkhad, Natdanai Sabaipom, Saksit Monchanuan, Jantawan Jitkongchuen, Duangjai Thammano, Arit Longpradit, Panchit Univ Phayao Sch Informat & Commun Technol Phayao Thailand Big Data Inst Bangkok Thailand King Mongkuts Inst Technol Ladkrabang Fac Informat Technol Ladkrabang Thailand Mahidol Univ Fac Social Sci & Humanities Salaya Nakhon Pathom Thailand

ISBN: (纸本)9798350391749

The proposed system represents an enhanced movement in search of food of Whale Optimization Algorithm (WOA), based on Levy distribution for image classification of grape leaf disease. In the preprocessing, the proposed system uses convolution kernels to transform images into input data within the range of (0,1). Thereafter, the Levy distribution is incorporated into the WOA model as an exploration search mechanism. A grape leaf dataset from the Plant Village project (***), consisting of 4062 labeled images with dimensions of 256 by 256 pixels and divided into four classes -healthy, Black Rot, Black Measles, and Isariopsis leaf spot -is used to evaluate the performance of the proposed system. Experimental results show that the proposed system is better than visual Geometry Group (VGG16), Gray Level Co-occurrence Matrix (GLCM) with SVM, Low contrast haze reduction-neighborhood component analysis with SVM, and whale optimization algorithm (WOA).

关键词： whale optimization algorithm levy distribution convolution kernel grape leaf disease

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visual Analytics of Air Pollution Transmission Among Urban Agglomerations 40th

Visual Analytics of Air Pollution Transmission Among Urban A...

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40th Computer Graphics International conference (CGI)

作者： Chen, Shijie Wang, Song Liu, Yipan Ma, Dongliang Hu, Hao Southwest Univ Sci & Technol Sch Comp Sci & Technol Mianyang 621010 Sichuan Peoples R China

ISBN: (纸本)9783031500749;9783031500756

In field of air quality research, it is essential to scientifically reflect the internal structure of air quality distribution and reveal the dynamic evolution of air pollution. In this study, a novel visual analytics method is proposed to address these challenges. Initially, the spatio-temporal features of air quality data are mined to complete urban agglomeration division based on dimensionality reduction and clustering. Subsequently, the air pollution transmission network (APTN) is constructed through particle transport and correlation analysis. A progressive exploration analysis method based on multidimensional space transformation is then employed to explore the process of air pollution transmission. Furthermore, a visual analytics system is developed to facilitate the interpretation of the results. Finally, we demonstrate the effectiveness of our proposed methodology using real data sets and case studies, and receive positive feedback from domain experts.

关键词： Air pollution Urban agglomerations Air pollution transmission network Multidimensional space transformation visual analytics

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Multiscale visualization: A Structured Literature analysis

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IEEE TRANSACTIONS ON visualIZATION AND COMPUTER GRAPHICS 2022年第12期28卷 4918-4929页

作者： Cakmak, Eren Jaeckle, Dominik Schreck, Tobias Keim, Daniel A. Fuchs, Johannes Univ Konstanz Dept Comp & Informat Sci D-78547 Constance Germany Graz Univ Technol Inst Comp Graph & Knowledge Visualisat A-8010 Graz Austria

Multiscale visualizations are typically used to analyze multiscale processes and data in various application domains, such as the visual exploration of hierarchical genome structures in molecular biology. However, creating such multiscale visualizations remains challenging due to the plethora of existing work and the expression ambiguity in visualization research. Up to today, there has been little work to compare and categorize multiscale visualizations to understand their design practices. In this article, we present a structured literature analysis to provide an overview of common design practices in multiscale visualization research. We systematically reviewed and categorized 122 published journal or conference articles between 1995 and 2020. We organized the reviewed articles in a taxonomy that reveals common design factors. Researchers and practitioners can use our taxonomy to explore existing work to create new multiscale navigation and visualization techniques. Based on the reviewed articles, we examine research trends and highlight open research challenges.

关键词： data visualization Navigation visualization Taxonomy Encoding Molecular biology Libraries Multiscale visualization multiscale navigation multiscale exploration literature analysis taxonomy survey

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Proceedings - 2024 IEEE 17th Pacific visualization conference, PacificVis 2024

Proceedings - 2024 IEEE 17th Pacific Visualization Conferenc...

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17th IEEE Pacific visualization conference, PacificVis 2024

ISBN: (纸本)9798350393804

The proceedings contain 43 papers. The topics discussed include: GenLens: a systematic evaluation of visual GenAI model outputs;evaluating how interactive visualizations can assist in finding samples where and how computer vision models make mistakes;MaugVLink: augmenting mathematical formulas with visual links;A-Map: interactive visual exploration of intercity accessibility dynamics based on railway network data;understanding and automating graphical annotations on animated scatterplots;efficient level-crossing probability calculation for Gaussian process modeled data;CommentVis: unveiling comment insights through interactive visualization tool;and GraphFederator: federated visual analysis for multi-party graphs.

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EuroVis 2023 - 25th Eurographics conference on visualization 2023, Short Papers

EuroVis 2023 - 25th Eurographics Conference on Visualization...

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25th Eurographics conference on visualization, EuroVis 2023

ISBN: (纸本)9783038682196

The proceedings contain 19 papers. The topics discussed include: visual exploration of indirect bias in language models;RiskFix: supporting expert validation of predictive timeseries models in high-intensity settings;a business intelligence dashboard for the phone: small-scale visualizations embedded into a mobile analysis and monitoring solution;Loki: reusing custom concepts in interactive analytic workflows;effect of color palettes in heatmaps perception: a study;detection and visual analysis of pathological abnormalities in diffusion tensor imaging with an anomaly lens;accelerated volume rendering with volume guided neural denoising;level of detail visual analysis of structures in solid-state materials;and CatNetVis: semantic visual exploration of categorical high-dimensional data with force-directed graph layouts.

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Autonomous exploration and General visual Inspection of Ship Ballast Water Tanks using Aerial Robots 21

Autonomous Exploration and General Visual Inspection of Ship...

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21st International conference on Advanced Robotics (ICAR)

作者： Dharmadhikari, Mihir De Petris, Paolo Kulkarni, Mihir Khedekar, Nikhil Nguyen, Huan Stene, Arnt Erik Sjovold, Eivind Solheim, Kristian Gussiaas, Bente Alexis, Kostas Norwegian Univ Sci & Technol NTNU Autonomous Robots Lab OS Bragstads Plass 2D N-7034 Trondheim Norway Equinor ASA Stavanger Norway Altera Infrastruct Prod AS Trondheim Norway

ISBN: (纸本)9798350342291

This paper presents a solution for the autonomous exploration and inspection of Ballast Water Tanks (BWTs) of marine vessels using aerial robots. Ballast tank compartments are critical for a vessel's safety and correspond to confined environments often connected through particularly narrow manholes. The method enables their volumetric exploration combined with visual inspection subject to constraints regarding the viewing distance from a surface. We present evaluation studies in simulation, in a mission consisting of 18 BWT compartments, and in 3 field experiments inside real vessels. The data from one of the experiments is also post-processed to generate semantically-segmented meshes of inspection-important geometries. Geometric models can be associated with onboard camera images for detailed and intuitive analysis.

关键词： Water tanks

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visual Analytics and exploration of Calcium Transient Imaging data using Event-Based Clustering

Visual Analytics and Exploration of Calcium Transient Imagin...

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2023 IEEE International conference on Big data, Bigdata 2023

作者： Fang, Shiaofen Lange, Michal Fu, Haoying Chen, Yingying Ma, Yaoying Indiana University Luddy School of Informatics Computing and Engineering IndianapolisIN United States Purdue University Department of Computer & Information Science Indianapolis United States Indiana University School of Medicine Department of Pharmacology and Toxicology IndianapolisIN United States Stark Neuroscience Institute School of Medicine Indiana University Department of Pharmacology and Toxicology IndianapolisIN United States

ISBN: (纸本)9798350324457

Advances in imaging technology and fluorescent calcium indicators have increased the popularity of the application of miniature microscopes (miniscope) in freely-moving rodents when they are performing sophisticated behaviors. The recently established analysis tools, such as Minian, allow for the efficient extraction of neuronal calcium transients from raw videos. However, there is still a gap in front of neuroscientists to draw any conclusions based on the neuronal calcium signals detected during behavioral tests. The poor signal-to-noise ratio and unreliable neuron registration in miniscope images bring significant challenges to the data analysis tasks. This paper describes a visual analytics approach to the exploration of potential neuronal clustering based on the calcium signals and the behavioral tasks. This new interactive solution can be applied for the analysis and exploration of the correlations between calcium imaging data and addiction behavioral data using a combination of visualization, user interaction, visual clustering, and event-related feature selection techniques. The associated interactive software tool is designed to help neuroscientists develop neurobiological hypotheses underlying both physiological and pathological behaviors, which could be a milestone in the field of neuroscience to understanding behavioral coding in the brain at the neuronal level. © 2023 IEEE.

关键词： clustering drug addiction miniscope imaging user interaction visualization

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Cloud-Based Flight Test data Management and Application Platform 3

Cloud-Based Flight Test Data Management and Application Plat...

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3rd International conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology, AIoTC 2024

作者： Wang, Haifeng Chinese Flight Test Establishment AVIC Xi'an710089 China

ISBN: (纸本)9798331530280

Flight test generates massive flight test data. At this stage, in view of the difficulties in lookup specific data, the lack of correlation with flight test tasks, and the problem that data cannot be saved for a long time, this paper proposes a flight test data asset management and application framework based on cloud computing. With the dynamic allocation of cluster computing and storage resources of the virtualization platform, an integration framework for flight test data management and application is constructed, which has the functions of high speed download, persistent storage, business perspective classification and configuration analysis of the flight test data. It also has the functions of data quality inspection and sharing through selfdefined regulation database. Based on the development of flight test data management and application framework, the download, analysis, calculation and comparative analysis of flight test data are realized. Also, the visual playback of the whole process can be realized by means of 3D map and simulation instrument. The fully exploration of the value of flight test data is finally achieved. © 2024 IEEE.

关键词： Cloud platforms

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Notable: On-the-fly Assistant for data Storytelling in Computational Notebooks 23

Notable: On-the-fly Assistant for Data Storytelling in Compu...

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CHI conference on Human Factors in Computing Systems (CHI)

作者： Li, Haotian Ying, Lu Zhang, Haidong Wu, Yingcai Qu, Huamin Wang, Yun Hong Kong Univ Sci & Technol Hong Kong Peoples R China Microsoft Res Asia Beijing Peoples R China Zhejiang Univ Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9781450394215

Computational notebooks are widely used for data analysis. Their interleaved displays of code and execution results (e.g., visualizations) are welcomed since they enable iterative analysis and preserve the exploration process. However, the communication of data fndings remains challenging in computational notebooks. Users have to carefully identify useful fndings from useless ones, document them with texts and visual embellishments, and then organize them in diferent tools. Such workfow greatly increases their workload, according to our interviews with practitioners. To address the challenge, we designed Notable to offer on-the-fy assistance for data storytelling in computational notebooks. It provides intelligent support to minimize the work of documenting and organizing data fndings and diminishes the cost of switching between data exploration and storytelling. To evaluate Notable, we conducted a user study with 12 data workers. The feedback from user study participants verifes its efectiveness and usability.

关键词： data visualization data storytelling computational notebooks

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