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QeNoBi: A System for QuErying and miNing Behavioral Patterns 37

QeNoBi: A System for QuErying and miNing Behavioral Patterns

引用

37th IEEE International conference on data Engineering (IEEE ICDE)

作者： Chibah, Abdelouahab Amer-Yahia, Sihem Berti-Equille, Laure Univ Grenoble Alpes CNRS St Martin Dheres France IRD ESPACE DEV Montpellier France

ISBN: (纸本)9781728191843

We demonstrate QeNoBi, a system for mining and querying customer behavioral patterns. QeNoBi combines an interactive visual interface, on-demand mining, and efficient top-k processing, to provide the exploration of customer behavior over time. QeNoBi relies on two distinct data models: a customer-centric graph that represents customers with similar purchasing behaviors and is annotated with a change algebra to reflect their behavior evolution, and product-centric time series that reflect the evolution of customer purchases over time. Users can query both representations along three dimensions: shape (the sketched trend of the behavior), scope (the set of customers/products of interest), and time granularity. QeNoBi provides a holistic behavior exploration capability by allowing users to seamlessly switch between customer-centric and product-centric views in a coordinated manner, thereby catering to various needs. A demonstration of QeNoBi is available at https://***/2HlcO3S.

关键词： visualization Shape Algebra conferences Time series analysis Switches Market research

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Design of a University Book Push System Based on Big data 23

Design of a University Book Push System Based on Big Data

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Proceedings of the 2023 4th International conference on Computer Science and Management Technology

作者： Liqiang Sheng Hui Xia Xiangquan Li School of Information Engineering Jingdezhen University China

ISBN: (纸本)9798400709517

In response to the existing university book recommendation systems that mostly recommend readers based on library resources and lack exploration of recommended books, this paper proposes a system service architecture that accurately pushes both readers and libraries simultaneously. The system is designed using technologies such as web spiders, big data, NLP, and visual analysis. The system integrates reader data entry, web crawler, user profile, book similarity measurement, and intelligent push functions. Book managers can use the system to push books accurately and discover recommended books. The system fully utilizes book attribute data and reader attribute data, avoiding common cold start issues in recommendation systems, and providing support for improving the service level of the library and scientifically allocating collection resources.

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EmoGeoCity: Interactive visual exploration of City’s Historical and Cultural Evolution Based on Emotional Geography

EmoGeoCity: Interactive Visual Exploration of City’s Histor...

引用

Pacific (formerly Asia-Pacific APVIS) visualization Symposium

作者： Yutong Yang Yinuo Liu Qishuo Bai Tianyi Zhou Ziduo Ye Xiaoju Dong SJTU Paris Elite Institute of Technology Shanghai Jiao Tong University China Department of Computer Science and Engineering Shanghai Jiao Tong University China School of Design Shanghai Jiao Tong University China

ISBN: (数字)9798350393804

ISBN: (纸本)9798350393811

A city’s history and culture studies involves understanding the literary works and historical events that have shaped the city’s identity. Increased availability of quantitative historical data has provided new opportunities. Taking Nanjing as an example, this paper proposes EmoGeoCity, a visual analytics system to study a city’s cultural and historical evolution, through the use of digital humanities methods and emotional geography. The system incorporates sentiment analysis into historical research to quantify the emotional content of works and synthesize an overall emotion trend within a specific location. A dynamic emotional map, integrating locations, works, and events, enables a macroscopic observation of city emotions over time. An emotional polyline is designed to provide a microscopic interpretation of the emotion trend of a single location. exploration through the system reveals the evolution of the city from an emotional geographic perspective, which gives insights for humanities researchers studying a city’s history and literature, as well as for the general public interested in gaining knowledge on historical sites. Case and user studies illustrate the effectiveness and usability of our system.

关键词： Sentiment analysis visual analytics Microscopy Urban areas Knowledge graphs Market research History

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Clover Connections: visualising Character Dynamics in Novels for Non-Experts 23

Clover Connections: Visualising Character Dynamics in Novels...

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Proceedings of the 35th Australian Computer-Human Interaction conference

作者： Natalie House Andrew Johnston University of Technology Sydney Australia

ISBN: (纸本)9798400717079

Many literature enthusiasts join communities to discuss their favourite fictional characters and novels, but meaningful insights may be slow to achieve and share when attempting to recall or verify the textual basis of their personal perspectives. Information visualisations can present text-derived data to make its summarisation and exploration both accessible and intuitive, yet visualisations of literary works are mostly tailored to expert workflows. This design study addresses this gap, comprehensively detailing our process of uncovering the tasks, data, and visual design requirements to implement Clover Connections, a visualisation of text-derived data for non-experts. Its layout features clover-shaped glyphs, storylines, and arcs to visually represent and connect temporal, social and personal data on characters in novels, which we demonstrate using datasets built from two popular novels. A formative user evaluation study with non-expert participants showed Clover Connections supports multiple general character analysis tasks, and provided qualitative insights that encourage future work.

关键词： design study fictional characters non-expert users storyline visualisation text data abstraction visual encodings

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Exploring Deep Learning-Based visual Localization Techniques

Exploring Deep Learning-Based Visual Localization Techniques

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data Science and Computer Application (ICDSCA), IEEE International conference on

作者： Zhuoyi Yu Maynooth University International Engineering College Fuzhou University Fuzhou China

This comprehensive review paper explores the state of the art in visual localization and navigation, drawing on the principles and methodologies of three significant deep learning networks: visual Localization Network (VLocNet), Deep Fusion Network (DFNet), and Hybrid Frontend Network (HFNet). Each of these networks demonstrates the application of deep learning to spatial awareness and navigation tasks in unique and significant ways. Rather than an exhaustive dissection of these networks, the paper provides an encompassing overview, illuminating their underlying principles, architectural design, and their relative performance within the field. Additionally, the paper delves into the practical implications of these networks, examining their applications in diverse real-world scenarios. It underlines this examination with a comprehensive analysis of existing literature and experimental results, intended to impart a profound understanding of these networks' strengths, limitations, and potential application areas. Ultimately, this review aims to present a valuable compass to researchers navigating the evolving landscape of advancements in visual localization and navigation, thereby fostering enriched understanding and facilitating future exploration and development in this compelling field.

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

Autonomous Exploration and General Visual Inspection of Ship...

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International conference on Advanced Robotics (ICAR)

作者： Mihir Dharmadhikari Paolo De Petris Mihir Kulkarni Nikhil Khedekar Huan Nguyen Arnt Erik Stene Eivind Sjøvold Kristian Solheim Bente Gussiaas Kostas Alexis Autonomous Robots Lab Norwegian University of Science and Technology (NTNU) Trondheim Norway Equinor ASA Norway Altera Infrastructure Production AS Norway

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.

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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

data Science and Network Security (ICDSNS), International conference on

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

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.

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The use of image graph in the medical data analyzing

The use of image graph in the medical data analyzing

引用

Advances in data-Driven Analytics And Intelligent Systems (ADACIS), IEEE International conference on

作者： Charifa Laghridat Mohamed Essalih Ilham Mounir LAPSSII The Safi’s Graduate School of Technology Cadi Ayyad University Marrakesh Morocco LRIT - CNRST URAC 29 Rabat IT Center - Faculty of Sciences Mohammed V University in Rabat Morocco

Medical data analysis is a critical process aimed at extracting valuable insights and knowledge from complex healthcare information. It plays a vital role in enhancing diagnostics, treatment planning, and medical research. In this context, medical images serve as a fundamental source of information, providing visual representations of anatomical structures and pathological conditions. Image processing techniques, utilizing mesh-based representations, offer unique opportunities for advancing the analysis of medical *** article presents a new method for analyzing medical data based on the concept of meshing. By representing medical images as undirected graphs, the proposed approach enables efficient exploration and analysis of spatial relationships.

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MivA: Multimodal Interactions for Facilitating visual analysis with Multiple Coordinated Views 24

MIVA: Multimodal Interactions for Facilitating Visual Analys...

引用

24th International conference Information visualisation (iv)

作者： Chowdhury, Imran Moeid, Abdul Hoque, Enamul Kabir, Muhammad Ashad Hossain, Md Sabir Islam, Mohammad Mainul Chittagong Univ Engn & Technol Chittagong Bangladesh York Univ Toronto ON Canada Charles Sturt Univ Bathurst NSW Australia Verizon Media Sunnyvale CA USA

ISBN: (纸本)9781728191348

Typically, people perform visual data analysis using mouse and touch interactions. While such interactions are often easy to use, they can be inadequate for users to express complex information and may require many steps to complete a task. Recently natural language interaction has emerged as a promising technique for supporting exploration with visualization, as the user can express a complex analytical question more easily. In this paper, we investigate how to synergistically combine language and mouse-based direct manipulations so that weakness of one modality can be complemented by the other. To this end, we have developed a novel system, named Multimodal Interactions System for visual analysis (MivA), that allows user to provide input using both natural language (e.g., through speech) and direct manipulation (e.g., through mouse or touch) and presents the answer accordingly. To answer the current question in the context of past interactions, the system incorporates previous utterances and direct manipulations made by the user within a finite-state model. We tested the applicability of MivA on several dashboards including a COVID-19 dashboard that visualizes coronavirus cases around the globe. Our demonstration provides initial indication that the MivA system enhances the flow of visual analysis by enabling fluid, iterative exploration and refinement of data in a dashboard with multiple-coordinated views.

关键词： Multimodal interaction multiple-coordinated views natural language interface direct manipulation

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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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