[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-126074-en":3,"doc-seo-126074-105":31,"detail-sidebar-cat-0-en-105":93},{"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":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},126074,962084931830,"Theodore","https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd",8,"Research & Report","Machine Learning in Business Process Management - A Systematic Literature Review","Machine learning (ML) enables data-driven programs without explicit programming and supports business process management (BPM) by analysing and improving processes efficiently. The paper organizes knowledge on ML in BPM by extracting BPM tasks from multiple literature streams, structuring them across process lifecycle phases, and explaining how ML techniques enable these tasks. It identifies technical commonalities across ML implementations and delivers ten findings plus a forward-looking research agenda for future work.","arXiv :2405 . 16396v1 [ cs .LG] 26 May 2024  \nHighlights  \nMachine Learning in Business Process Management: A Systematic Literature Review  \nSven Weinzierl, Sandra Zilker, Sebastian Dunzer, Martin Matzner  \n• We describe BPM lifecycle phases and define BPM tasks in view of ML applications.  \n• We present an overview of ML applications in the field of BPM.  \n• We provide a technical summary of ML applications of each BPM lifecycle phase.  \n• We derived ten findings from our literature review.  \n• We set up an agenda with ten future research directions for advancing research on ML applications in BPM.  \nMachine Learning in Business Process Management: A Systematic  \nLiterature Review  \nSven Weinzierla,∗, Sandra Zilkerb , Sebastian Dunzera , Martin Matznera  \na Institute of Information Systems, Friedrich-Alexander-Universit¨at N¨urnberg-Erlangen, Germany b Professorship for Business Analytics, Technische Hochschule N¨urnberg Georg Simon Ohm, Germany  \nAbstract  \nMachine learning (ML) provides algorithms to create computer programs based on data without explicitly programming them. In business process management (BPM), ML applications are used to analyse and improve processes efficiently. Three frequent examples of using ML are providing decision support through predictions, discovering accurate process models, and improving resource allocation. This paper organises the body of knowledge on ML in BPM. We extract BPM tasks from different literature streams, summarise them under the phases of a process’s lifecycle, explain how ML helps perform these tasks and identify technical commonalities in ML implementations across tasks. This study is the first exhaustive review of how ML has been used in BPM. We hope that it can open the door for a new era of cumulative research by helping researchers to identify relevant preliminary work and then combine and further develop existing approaches in a focused fashion. Our paper helps managers and consultants to find ML applications that are relevant in the current project phase of a BPM initiative, like redesigning a business process. We also offer – as a synthesis of our review – a research agenda that spreads ten avenues for future research, including applying novel ML concepts like federated learning, addressing less regarded BPM lifecycle phases like process identification, and delivering ML applications with a focus on end-users.  \nKeywords: Business process management, BPM lifecycle, Machine learning, Deep learning, Literature review  \n1. Introduction  \nOrganisations have made great strides in digitising their business processes (Beverungenet al., 2021), so information systems now produce large amounts of process data (van der Aalst, 2016) . Business process management (BPM) research offers approaches to create value from such data (van der Aalst, 2016), including process mining (e.g. van der Aalst et al. , 2011), business activity monitoring (e.g. McCoy, 2002), predictive business process monitoring (e.g. Grigori et al., 2004), and anomaly detection (e.g. Bezerra et al., 2009) . Machine learning (ML) is popular as an analytical capability at the core of BPM approaches. Because of the increased availability of event data, the emergence of off-the-shelf ML libraries, and advancesin hardware, ML approaches are increasingly used to solve BPM tasks. According to Mitchell (1997, p. xv), “[t]he field of machine learning is concerned with the question of how to construct  \n∗ Corresponding author  \nEmail addresses: [sven.weinzierl@fau.de](sven.weinzierl@fau.de) (Sven Weinzierl), [sandra.zilker@th-nuernberg.de](sandra.zilker@th-nuernberg.de) (Sandra  \nZilker), [sebastian.dunzer@fau.de](sebastian.dunzer@fau.de) (Sebastian Dunzer), [martin.matzner@fau.de](martin.matzner@fau.de) (Martin Matzner)  \nPreprint submitted to Expert Systems with Applications May 28, 2024  \ncomputer programs that automatically improve with experience”. ML provides algorithms that learn patterns and structures from data (e.g.","cbCaiqjAIquyeO3d","https://ap.wps.com/l/cbCaiqjAIquyeO3d","pdf",1793187,7,1,72,"English","en",105,"# Highlights\n## Overview of contributions\n# Introduction\n## BPM digitisation and data sources\n## ML role in BPM\n## Core steps of ML model development","[{\"question\":\"What BPM lifecycle aspects does the review focus on for ML applications?\",\"answer\":\"The review describes BPM lifecycle phases and defines BPM tasks with a view to how machine learning can be applied across those phases.\"},{\"question\":\"How does the paper structure the body of knowledge on ML in BPM?\",\"answer\":\"It extracts BPM tasks from different literature streams, summarises them under lifecycle phases, explains how ML helps perform the tasks, and highlights technical commonalities in implementations.\"},{\"question\":\"What outputs beyond a general overview does the review provide?\",\"answer\":\"It derives ten findings from the literature review and formulates an agenda with ten future research directions to advance ML applications in BPM.\"}]","Machine Learning in Business Process Management - A Systematic Literature Review | PDF",1785902922,181,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":88,"head_meta":90,"extra_data":92,"updated_unix":29},"machine-learning-in-business-process-management-a-systematic-literature-review","",{"@graph":37,"@context":87},[38,55,70],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,52],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/document/","Document",2,{"item":50,"name":12,"@type":44,"position":51},"https://docshare.wps.com/document/research-report/",3,{"item":53,"name":13,"@type":44,"position":54},"https://docshare.wps.com/document/machine-learning-in-business-process-management-a-systematic-literature-review/126074/",4,{"url":53,"name":13,"@type":56,"author":57,"headline":13,"publisher":59,"fileFormat":62,"inLanguage":24,"description":14,"dateModified":63,"datePublished":64,"encodingFormat":62,"isAccessibleForFree":65,"interactionStatistic":66},"DigitalDocument",{"name":9,"@type":58},"Person",{"url":42,"name":60,"@type":61},"DocShare","Organization","application/pdf","2026-08-22","2026-08-05",true,{"@type":67,"interactionType":68,"userInteractionCount":20},"InteractionCounter",{"@type":69},"ViewAction",{"@type":71,"mainEntity":72},"FAQPage",[73,79,83],{"name":74,"@type":75,"acceptedAnswer":76},"What BPM lifecycle aspects does the review focus on for ML applications?","Question",{"text":77,"@type":78},"The review describes BPM lifecycle phases and defines BPM tasks with a view to how machine learning can be applied across those phases.","Answer",{"name":80,"@type":75,"acceptedAnswer":81},"How does the paper structure the body of knowledge on ML in BPM?",{"text":82,"@type":78},"It extracts BPM tasks from different literature streams, summarises them under lifecycle phases, explains how ML helps perform the tasks, and highlights technical commonalities in implementations.",{"name":84,"@type":75,"acceptedAnswer":85},"What outputs beyond a general overview does the review provide?",{"text":86,"@type":78},"It derives ten findings from the literature review and formulates an agenda with ten future research directions to advance ML applications in BPM.","https://schema.org",{"og:url":53,"og:type":89,"og:title":13,"og:site_name":60,"og:description":14},"article",{"robots":91,"canonical":53},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":94},[95,99,103,107,112,117,121,124,129,132,136],{"id":21,"doc_module":4,"doc_module_name":47,"category_name":96,"show_sort_weight":97,"slug":98},"Story & Novel",90,"story-novel",{"id":48,"doc_module":4,"doc_module_name":47,"category_name":100,"show_sort_weight":101,"slug":102},"Literature",80,"literature",{"id":54,"doc_module":4,"doc_module_name":47,"category_name":104,"show_sort_weight":105,"slug":106},"Exam",70,"exam",{"id":108,"doc_module":4,"doc_module_name":47,"category_name":109,"show_sort_weight":110,"slug":111},5,"Comic",60,"comic",{"id":113,"doc_module":4,"doc_module_name":47,"category_name":114,"show_sort_weight":115,"slug":116},6,"Technology",50,"technology",{"id":20,"doc_module":4,"doc_module_name":47,"category_name":118,"show_sort_weight":119,"slug":120},"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":122,"slug":123},30,"research-report",{"id":125,"doc_module":4,"doc_module_name":47,"category_name":126,"show_sort_weight":127,"slug":128},9,"Religion & Spirituality",20,"religion-spirituality",{"id":127,"doc_module":4,"doc_module_name":47,"category_name":130,"show_sort_weight":127,"slug":131},"World Cup","world-cup",{"id":133,"doc_module":4,"doc_module_name":47,"category_name":134,"show_sort_weight":133,"slug":135},10,"Lifestyle","lifestyle",{"id":137,"doc_module":4,"doc_module_name":47,"category_name":138,"show_sort_weight":108,"slug":139},19,"General","general"]