[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-119275-en":3,"doc-seo-119275-105":30,"detail-sidebar-cat-0-en-105":91},{"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":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},119275,7971461740909,"Levi","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",8,"Research & Report","Enhancing Real-Time Data Analysis through Advanced Machine Learning and Data Analytics Algorithms","This paper investigates how combining advanced machine learning with data analytics algorithms strengthens real-time data analysis across diverse application areas. It focuses on supervised, unsupervised, and reinforcement learning methods that support immediate processing, continuous analysis, and fast decision-making in data-centric environments. The work also examines descriptive, diagnostic, predictive, and prescriptive analytics, linking sensor-data visualization, anomaly detection, event forecasting, and decision recommendations. A case study on environmental monitoring demonstrates practical use for proactive actions and improved environmental management.","JOE International Journal of  \nOnline and Biomedical Engineering  \n[Onli](Online-Journals.org)[ne-Jo](Online-Journals.org)[urnals](Online-Journals.org)[.org](Online-Journals.org)  \niJOE | eISSN: 2626-8493 | Vol. 21 No. 1 (2025) |   \n[https://doi.org/10.3991/ijoe.v21i01.53203](https://doi.org/10.3991/ijoe.v21i01.53203)  \nPAPER  \nEnhancing Real-Time Data Analysis through Advanced Machine Learning and Data Analytics Algorithms  \nLaith Abualigah(*)  \nComputer Science Department, Al al-Bayt University, Mafraq, Jordan [aligah.2020@gmail.com](aligah.2020@gmail.com)  \nABSTRACT  \nThis paper investigates the amalgamation of sophisticated machine learning and data analytics algorithms to enhance real-time data analysis across diverse domains. Specifically, it concentrates on the utilization of machine learning methods for real-time data analysis, encompassing supervised, unsupervised, and reinforcement learning algorithms. The research underscores the significance of instantaneous processing, analysis, and decision-making in contemporary data-centric environments spanning industries like defense, exploration, public policy, and mathematical science. The paper explores data analytics strategies for real-time data analysis, including descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics. Descriptive analytics techniques are explored for summarizing and visualizing extensive sensor data, while diagnostic analytics methodologies focus on detecting anomalies and irregular patterns in real-time data streams. Predictive analytics endeavors to predict forthcoming events based on historical data trends, thereby enabling proactive decision-making. Lastly, prescriptive analytics provides decision recommendations and optimization tactics grounded in predictive models and constraint logic. By offering a comprehensive examination of machine learning techniques and data analytics methodologies, the paper furnishes insights into augmenting real-time data analysis capabilities across various sectors. Additionally, it presents a case study on processing real-time data from an environmental monitoring system, illustrating the practical application of advanced machine learning and data analytics algorithms for proactive decision-making and environmental management.  \nKEYWORDS  \nreal-time data analysis, machine learning, data analytics, supervised learning, unsupervised learning, reinforcement learning  \n1 INTRODUCTION  \nOne of the most important issues in real-time data analysis is to provide timely results that are useful and consistent with recent data [1, 2] . Therefore, real-time data analysis relies on approximate real-time algorithms that are proposed to  \nAbualigah, L. (2025) . Enhancing Real-Time Data Analysis through Advanced Machine Learning and Data Analytics Algorithms. International Journal of Online and Biomedical Engineering (iJOE), 21(1), pp. 4–25. [https://doi.org/10.3991/ijoe.v21i01.53203](https://doi.org/10.3991/ijoe.v21i01.53203)[ ](https://doi.org/10.3991/ijoe.v21i01.53203)[Article submitted 2024-08-06. Revision uploaded 2024-10-28. Final acceptance 2024-11-07.](Article submitted 2024-08-06. Revision uploaded 2024-10-28. Final acceptance 2024-11-07.)  \n© 2025 by the authors of this article. Published under CC-BY.  \n4 International Journal of Online and Biomedical Engineering (iJOE) iJOE | Vol. 21 No. 1 (2025)  \nEnhancing Real-Time Data Analysis through Advanced Machine Learning and Data Analytics Algorithms  \nanalyze data within a certain delay from the time of the data collection [3, 4] . Since the collected data is usually on a big data scale, it takes too much time for the exact big data algorithms to achieve results [5, 6] . These real-time algorithms are usually significantly more intricate compared with their batch analogs and demand novel developments in machine learning theory and algorithm research [7, 8] . Moreover, existing single-step real-time algorithms offer insight into the relatio","cbCaiq2jUqxnfBWm","https://ap.wps.com/l/cbCaiq2jUqxnfBWm","pdf",414709,1,22,"English","en",105,"# Introduction\n## Real-time data analysis challenges and motivations\n## Machine learning and data analytics integration\n## Real-time data management trend\n## Methods and applications","[{\"question\":\"Which machine learning paradigms are used to support real-time data analysis?\",\"answer\":\"The paper concentrates on supervised, unsupervised, and reinforcement learning algorithms for real-time analysis.\"},{\"question\":\"How do the paper’s analytics types differ in real-time scenarios?\",\"answer\":\"It separates descriptive analytics for summarizing and visualizing sensor data, diagnostic analytics for anomaly detection, predictive analytics for forecasting using historical trends, and prescriptive analytics for recommendations and optimization.\"},{\"question\":\"What real-world example is used to illustrate the proposed approach?\",\"answer\":\"A case study processes real-time data from an environmental monitoring system to support proactive decision-making and environmental management.\"}]","Enhancing Real-Time Data Analysis through Advanced Machine Learning and Data Analytics Algorithms | PDF",1785723461,55,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"enhancing-real-time-data-analysis-through-advanced-machine-learning-and-data-analytics-algorithms","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/enhancing-real-time-data-analysis-through-advanced-machine-learning-and-data-analytics-algorithms/119275/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-03",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Which machine learning paradigms are used to support real-time data analysis?","Question",{"text":75,"@type":76},"The paper concentrates on supervised, unsupervised, and reinforcement learning algorithms for real-time analysis.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How do the paper’s analytics types differ in real-time scenarios?",{"text":80,"@type":76},"It separates descriptive analytics for summarizing and visualizing sensor data, diagnostic analytics for anomaly detection, predictive analytics for forecasting using historical trends, and prescriptive analytics for recommendations and optimization.",{"name":82,"@type":73,"acceptedAnswer":83},"What real-world example is used to illustrate the proposed approach?",{"text":84,"@type":76},"A case study processes real-time data from an environmental monitoring system to support proactive decision-making and environmental management.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]