{"id":"https://openalex.org/W3010408169","doi":"https://doi.org/10.30844/wi_2020_c12-weinzierl","title":"From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events","display_name":"From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events","publication_year":2020,"publication_date":"2020-03-06","ids":{"openalex":"https://openalex.org/W3010408169","doi":"https://doi.org/10.30844/wi_2020_c12-weinzierl","mag":"3010408169"},"language":"en","primary_location":{"id":"doi:10.30844/wi_2020_c12-weinzierl","is_oa":false,"landing_page_url":"https://doi.org/10.30844/wi_2020_c12-weinzierl","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"WI2020 Zentrale Tracks","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Friedrich-Alexander Universit\u00e4t Erlangen-N\u00fcrnberg, Digital Industrial Service Systems, Nuremberg, Germany","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Friedrich-Alexander Universit\u00e4t Erlangen-N\u00fcrnberg, Digital Industrial Service Systems, Nuremberg, Germany","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057780661","display_name":"Sven Weinzierl","orcid":"https://orcid.org/0000-0003-2268-7352"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sven Weinzierl","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064458729","display_name":"Sandra Zilker","orcid":"https://orcid.org/0000-0001-5414-1528"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sandra Zilker","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076877841","display_name":"Matthias Stierle","orcid":"https://orcid.org/0000-0001-5938-1125"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matthias Stierle","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067830118","display_name":"Martin Matzner","orcid":"https://orcid.org/0000-0001-5244-3928"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martin Matzner","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5082571709","display_name":"Gyunam Park","orcid":"https://orcid.org/0000-0001-9394-6513"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gyunam Park","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.4167,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.9620964,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"364","last_page":"368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7224560976028442},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6865882277488708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6632914543151855},{"id":"https://openalex.org/keywords/process-mining","display_name":"Process mining","score":0.5365761518478394},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.4987320899963379},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.4984157085418701},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4881797432899475},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.48059818148612976},{"id":"https://openalex.org/keywords/business-process","display_name":"Business process","score":0.43615972995758057},{"id":"https://openalex.org/keywords/process-management","display_name":"Process management","score":0.41059058904647827},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40734100341796875},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.3746642470359802},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.35385721921920776},{"id":"https://openalex.org/keywords/business-process-management","display_name":"Business process management","score":0.3012132942676544},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2004040777683258},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.1360132098197937},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12322241067886353},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10227838158607483},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.06766641139984131}],"concepts":[{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7224560976028442},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6865882277488708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6632914543151855},{"id":"https://openalex.org/C124670913","wikidata":"https://www.wikidata.org/wiki/Q2608526","display_name":"Process mining","level":5,"score":0.5365761518478394},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.4987320899963379},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.4984157085418701},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4881797432899475},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.48059818148612976},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.43615972995758057},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.41059058904647827},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40734100341796875},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.3746642470359802},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.35385721921920776},{"id":"https://openalex.org/C80309976","wikidata":"https://www.wikidata.org/wiki/Q7007379","display_name":"Business process management","level":4,"score":0.3012132942676544},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2004040777683258},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.1360132098197937},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12322241067886353},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10227838158607483},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06766641139984131},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.30844/wi_2020_c12-weinzierl","is_oa":false,"landing_page_url":"https://doi.org/10.30844/wi_2020_c12-weinzierl","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"WI2020 Zentrale Tracks","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2150478723","https://openalex.org/W4365511202","https://openalex.org/W4300560926","https://openalex.org/W4366534517","https://openalex.org/W2050159024","https://openalex.org/W2734067265","https://openalex.org/W2345053703","https://openalex.org/W2408600672","https://openalex.org/W2972124102","https://openalex.org/W3184122949"],"abstract_inverted_index":{"Predictive":[0],"business":[1],"process":[2,77,107,142],"monitoring":[3],"(PBPM)":[4],"deals":[5],"with":[6,67],"predicting":[7,132],"a":[8,19,28,98,138,145],"process's":[9,20],"future":[10],"behavior":[11],"based":[12,50],"on":[13,51],"historical":[14],"event":[15,34,87],"logs":[16],"to":[17,31,114,125],"support":[18],"execution.":[21],"Many":[22],"of":[23,121],"the":[24,37,62,85,116,119,126],"recent":[25],"techniques":[26,58],"utilize":[27],"machine-learned":[29],"model":[30],"predict":[32],"which":[33],"type":[35],"is":[36,89],"next":[38,86,102,133,146],"most":[39,127,147],"likely.":[40],"Beyond":[41],"PBPM,":[42],"prescriptive":[43],"BPM":[44],"aims":[45],"at":[46],"finding":[47],"optimal":[48],"actions":[49,104],"considering":[52],"relevant":[53],"key":[54],"performance":[55],"indicators.":[56],"Existing":[57],"are":[59],"geared":[60],"towards":[61],"outcome":[63],"prediction":[64,88],"and":[65,118],"deal":[66],"alarms":[68],"for":[69,91,100,131,141],"interventions":[70,72],"or":[71],"that":[73,84,105],"do":[74],"not":[75],"represent":[76,106],"events.":[78,108,134],"In":[79],"this":[80,94],"paper,":[81],"we":[82],"argue":[83],"insufficient":[90],"practitioners.":[92],"Accordingly,":[93],"research-in-progress":[95],"paper":[96],"proposes":[97],"technique":[99,123,130],"determining":[101],"best":[103],"We":[109],"conducted":[110],"an":[111],"intermediate":[112],"evaluation":[113],"test":[115],"usefulness":[117,140],"quality":[120],"our":[122],"compared":[124],"frequently":[128],"cited":[129],"The":[135],"results":[136],"show":[137],"higher":[139],"participants":[143],"than":[144],"likely":[148],"event.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2020-03-13T00:00:00"}
