[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-125269-en":3,"doc-seo-125269-105":29,"detail-sidebar-cat-0-en-105":90},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":11,"language":21,"language_code":22,"site_id":23,"html_lang":22,"table_of_contents":24,"faqs":25,"seo_title":26,"seo_description":14,"update_tm":27,"read_time":28},125269,2336464648746,"Skyler","https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c",8,"Research & Report","Financial Big data Visualization - A Machine Learning Perspective","Exponential growth of big data makes visualization and analysis essential for producing actionable insights, with heightened relevance in the financial industry. Despite rapid advances in machine learning and visualization models, users need clearer classification to select suitable methodologies. This paper reviews financial big data visualization techniques from a machine learning perspective, categorizing methods by modeling stage (pre-, during-, post-model building) and by big-data nature (structured, semi-structured, unstructured). It also highlights popular financial data types and future research opportunities for visual analytics.","Financial Big data Visualization: A Machine Learning Perspective  \nAlice Xiaodan Dong  \nUniversity of Technology Sydney Sydney, Australia [xiaodan.dong@uts.edu.au](xiaodan.dong@uts.edu.au)  \nWeidong Huang  \nUniversity of Technology Sydney Sydney, Australia [weidong.huang@uts.edu.au](weidong.huang@uts.edu.au)  \nJitong Wang University of Technology Sydney  \nSydney, Australia [jitong.wang@student.uts.edu.au](jitong.wang@student.uts.edu.au)  \nABSTRACT  \nIn today’s technology-driven environment, the exponential growth of big data underscores the importance of visualizing and analyzing it to derive actionable insights. This need spans across industrial sectors, with particular importance in the financial industry. While numerous modern models and algorithms have been developed, and utilized in diverse applications, it is crucial to classify these methodologies for users to identify the most suitable ones. In this paper, we embark on a selective review to streamline the classification of financial big data visualization methodologies from a machine learning perspective and explore the latest trends. We categorize techniques based on two key elements: the modeling stage and the nature of big data. The analytical stage divides methods into three phases: pre-model building, during-model building, and post-model building. Additionally, the characteristics of big data play an important role in shaping methodologies. We delve into three primary types of big data—structured, semi-structured, and unstructured and identify the most popular financial data types within each category in current society. We also discuss and highlight some research opportunities that we hope could be useful for visual analytics researchers.  \nCCS CONCEPTS  \n• Computing methodologies → Machine learning; • Humancentered computing → Visualization techniques.  \nKEYWORDS  \nMachine Learning, Visualization, Telematics, Big Data  \nACM Reference Format:  \nAlice Xiaodan Dong, Weidong Huang, and Jitong Wang. 2024. Financial Big data Visualization: A Machine Learning Perspective. In The 17th International Symposium on Visual Information Communication and Interaction (VINCI 2024), December 11–13, 2024, Hsinchu, Taiwan. ACM, New York, NY, USA, 8 pages. [https://doi.org/10.1145/3678698.3678702](https://doi.org/10.1145/3678698.3678702)  \n1 INTRODUCTION  \nBig Data is a critical asset in the competitive market of the digital economy. With advancing technology, the availability and capture of big data are increasing exponentially. Applications utilizing big data, artificial intelligence, and machine learning result in decisions and business processes that are specifically tailored to each person’s  \nThis work is licensed under a Creative Commons Attribution International 4.0 License.  \nVINCI 2024, December 11–13, 2024, Hsinchu, Taiwan © 2024 Copyright held by the owner/author(s) .  \nACM ISBN 979-8-4007-0967-8/24/12  \n[https://doi.org/10.1145/3678698.3678702](https://doi.org/10.1145/3678698.3678702)  \nwants and expectations, enhancing the expansion and effectiveness of commercial operations [27] . Particularly in the financial sector, big data wields a profound influence on the economic system. Moreover, the integration of machine learning and visualization techniques is rapidly gaining traction, shaping contemporary trends in data analysis and decision-making processes. In the area offinancial data and technology, machine learning and deep leanring exert a profound and transformative influence. Its algorithms have significantly impacted various facets of finance, spanning portfolio management, risk mitigation, and customer acquisition. Visualization in this area is increasingly in demand because business stakeholders are eager to understand these algorithms and models. Visualization of financial information is particularly important for insiders and stockholders for effective communication and collaboration and to close the gap between financial experts and non-experts [9] .  \nAn es","cbCaischs8ifxROV","https://ap.wps.com/l/cbCaischs8ifxROV","pdf",480313,1,"English","en",105,"# Introduction\n# Related Surveys and Guidelines","[{\"question\":\"How does the paper classify financial big data visualization methods?\",\"answer\":\"It categorizes techniques by two elements: the modeling stage and the nature of big data. The modeling stage is split into pre-model building, during-model building, and post-model building.\"},{\"question\":\"Which big data types are discussed for financial visualization?\",\"answer\":\"The paper focuses on three primary types: structured, semi-structured, and unstructured big data, and identifies popular financial data types within each category.\"},{\"question\":\"Why are visualization approaches important in finance when using machine learning?\",\"answer\":\"Visualization helps stakeholders understand models and algorithms, improves communication between experts and non-experts, and supports transparency and intelligibility in decision-making and analytics.\"}]","Financial Big data Visualization - A Machine Learning Perspective | PDF",1785897819,20,{"code":4,"msg":30,"data":31},"ok",{"site_id":23,"language":22,"slug":32,"title":13,"keywords":33,"description":14,"schema_data":34,"social_meta":85,"head_meta":87,"extra_data":89,"updated_unix":27},"financial-big-data-visualization-a-machine-learning-perspective","",{"@graph":35,"@context":84},[36,53,67],{"@type":37,"itemListElement":38},"BreadcrumbList",[39,43,47,50],{"item":40,"name":41,"@type":42,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":44,"name":45,"@type":42,"position":46},"https://docshare.wps.com/document/","Document",2,{"item":48,"name":12,"@type":42,"position":49},"https://docshare.wps.com/document/research-report/",3,{"item":51,"name":13,"@type":42,"position":52},"https://docshare.wps.com/document/financial-big-data-visualization-a-machine-learning-perspective/125269/",4,{"url":51,"name":13,"@type":54,"author":55,"headline":13,"publisher":57,"fileFormat":60,"inLanguage":22,"description":14,"dateModified":61,"datePublished":61,"encodingFormat":60,"isAccessibleForFree":62,"interactionStatistic":63},"DigitalDocument",{"name":9,"@type":56},"Person",{"url":40,"name":58,"@type":59},"DocShare","Organization","application/pdf","2026-08-05",true,{"@type":64,"interactionType":65,"userInteractionCount":4},"InteractionCounter",{"@type":66},"ViewAction",{"@type":68,"mainEntity":69},"FAQPage",[70,76,80],{"name":71,"@type":72,"acceptedAnswer":73},"How does the paper classify financial big data visualization methods?","Question",{"text":74,"@type":75},"It categorizes techniques by two elements: the modeling stage and the nature of big data. The modeling stage is split into pre-model building, during-model building, and post-model building.","Answer",{"name":77,"@type":72,"acceptedAnswer":78},"Which big data types are discussed for financial visualization?",{"text":79,"@type":75},"The paper focuses on three primary types: structured, semi-structured, and unstructured big data, and identifies popular financial data types within each category.",{"name":81,"@type":72,"acceptedAnswer":82},"Why are visualization approaches important in finance when using machine learning?",{"text":83,"@type":75},"Visualization helps stakeholders understand models and algorithms, improves communication between experts and non-experts, and supports transparency and intelligibility in decision-making and analytics.","https://schema.org",{"og:url":51,"og:type":86,"og:title":13,"og:site_name":58,"og:description":14},"article",{"robots":88,"canonical":51},"index,follow",{"doc_id":7,"site_id":23},{"code":4,"msg":5,"data":91},[92,96,100,104,109,114,119,122,126,129,133],{"id":20,"doc_module":4,"doc_module_name":45,"category_name":93,"show_sort_weight":94,"slug":95},"Story & Novel",90,"story-novel",{"id":46,"doc_module":4,"doc_module_name":45,"category_name":97,"show_sort_weight":98,"slug":99},"Literature",80,"literature",{"id":52,"doc_module":4,"doc_module_name":45,"category_name":101,"show_sort_weight":102,"slug":103},"Exam",70,"exam",{"id":105,"doc_module":4,"doc_module_name":45,"category_name":106,"show_sort_weight":107,"slug":108},5,"Comic",60,"comic",{"id":110,"doc_module":4,"doc_module_name":45,"category_name":111,"show_sort_weight":112,"slug":113},6,"Technology",50,"technology",{"id":115,"doc_module":4,"doc_module_name":45,"category_name":116,"show_sort_weight":117,"slug":118},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":45,"category_name":12,"show_sort_weight":120,"slug":121},30,"research-report",{"id":123,"doc_module":4,"doc_module_name":45,"category_name":124,"show_sort_weight":28,"slug":125},9,"Religion & Spirituality","religion-spirituality",{"id":28,"doc_module":4,"doc_module_name":45,"category_name":127,"show_sort_weight":28,"slug":128},"World Cup","world-cup",{"id":130,"doc_module":4,"doc_module_name":45,"category_name":131,"show_sort_weight":130,"slug":132},10,"Lifestyle","lifestyle",{"id":134,"doc_module":4,"doc_module_name":45,"category_name":135,"show_sort_weight":105,"slug":136},19,"General","general"]