{"id":"https://openalex.org/W4387469937","doi":"https://doi.org/10.1109/icpm60904.2023.10271993","title":"Runtime Integration of Machine Learning and Simulation for Business Processes","display_name":"Runtime Integration of Machine Learning and Simulation for Business Processes","publication_year":2023,"publication_date":"2023-10-09","ids":{"openalex":"https://openalex.org/W4387469937","doi":"https://doi.org/10.1109/icpm60904.2023.10271993"},"language":"en","primary_location":{"id":"doi:10.1109/icpm60904.2023.10271993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpm60904.2023.10271993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 5th International Conference on Process Mining (ICPM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://bia.unibz.it/esploro/outputs/conferenceProceeding/Runtime-Integration-of-Machine-Learning-and/991006805398501241","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081831626","display_name":"Francesca Meneghello","orcid":"https://orcid.org/0000-0002-9905-0360"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]},{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Francesca Meneghello","raw_affiliation_strings":["Fondazione Bruno Kessler,Trento,Italy","Fondazione Bruno Kessler, Trento, Italy","Sapienza University of Rome, Rome, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fondazione Bruno Kessler,Trento,Italy","institution_ids":["https://openalex.org/I2277624104"]},{"raw_affiliation_string":"Fondazione Bruno Kessler, Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]},{"raw_affiliation_string":"Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070124724","display_name":"Chiara Di Francescomarino","orcid":"https://orcid.org/0000-0002-0264-9394"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Chiara Di Francescomarino","raw_affiliation_strings":["University of Trento,Trento,Italy","University of Trento, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Trento,Trento,Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069353228","display_name":"Chiara Ghidini","orcid":"https://orcid.org/0000-0003-1563-4965"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Chiara Ghidini","raw_affiliation_strings":["Fondazione Bruno Kessler,Trento,Italy","Fondazione Bruno Kessler, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fondazione Bruno Kessler,Trento,Italy","institution_ids":["https://openalex.org/I2277624104"]},{"raw_affiliation_string":"Fondazione Bruno Kessler, Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081831626"],"corresponding_institution_ids":["https://openalex.org/I2277624104","https://openalex.org/I861853513"],"apc_list":null,"apc_paid":null,"fwci":5.9367,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.96193076,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"9","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9997000098228455,"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/T10703","display_name":"Business Process Modeling and Analysis","score":0.9997000098228455,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9930999875068665,"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"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9718999862670898,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"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/computer-science","display_name":"Computer science","score":0.8188044428825378},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5486559867858887},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.5316467881202698},{"id":"https://openalex.org/keywords/runtime-verification","display_name":"Runtime verification","score":0.4974983036518097},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.4955071210861206},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4800054430961609},{"id":"https://openalex.org/keywords/discrete-event-simulation","display_name":"Discrete event simulation","score":0.47136226296424866},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.46557778120040894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4428873360157013},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43256473541259766},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40427154302597046},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3217952251434326},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.286312460899353},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2051963210105896},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.20501208305358887},{"id":"https://openalex.org/keywords/formal-verification","display_name":"Formal verification","score":0.15012747049331665}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8188044428825378},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5486559867858887},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.5316467881202698},{"id":"https://openalex.org/C202973057","wikidata":"https://www.wikidata.org/wiki/Q7380130","display_name":"Runtime verification","level":3,"score":0.4974983036518097},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.4955071210861206},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4800054430961609},{"id":"https://openalex.org/C147203929","wikidata":"https://www.wikidata.org/wiki/Q574814","display_name":"Discrete event simulation","level":2,"score":0.47136226296424866},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.46557778120040894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4428873360157013},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43256473541259766},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40427154302597046},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3217952251434326},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.286312460899353},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2051963210105896},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.20501208305358887},{"id":"https://openalex.org/C111498074","wikidata":"https://www.wikidata.org/wiki/Q173326","display_name":"Formal verification","level":2,"score":0.15012747049331665},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icpm60904.2023.10271993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpm60904.2023.10271993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 5th International Conference on Process Mining (ICPM)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1690420","is_oa":false,"landing_page_url":"https://hdl.handle.net/11573/1690420","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:iris.unitn.it:11572/395693","is_oa":false,"landing_page_url":"https://hdl.handle.net/11572/395693","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:unibz.it:11319708800001241","is_oa":true,"landing_page_url":"https://bia.unibz.it/esploro/outputs/conferenceProceeding/Runtime-Integration-of-Machine-Learning-and/991006805398501241","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:unibz.it:11319708800001241","is_oa":true,"landing_page_url":"https://bia.unibz.it/esploro/outputs/conferenceProceeding/Runtime-Integration-of-Machine-Learning-and/991006805398501241","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1846981065","https://openalex.org/W1913639845","https://openalex.org/W1991927904","https://openalex.org/W2008161988","https://openalex.org/W2059743773","https://openalex.org/W2145835585","https://openalex.org/W2153224637","https://openalex.org/W2581522324","https://openalex.org/W2584722588","https://openalex.org/W2747599906","https://openalex.org/W2791826110","https://openalex.org/W2912763210","https://openalex.org/W2912918654","https://openalex.org/W2963928259","https://openalex.org/W2969940319","https://openalex.org/W3013550390","https://openalex.org/W3044946215","https://openalex.org/W3151527472","https://openalex.org/W3164703131","https://openalex.org/W3178234265","https://openalex.org/W4213436302","https://openalex.org/W4247341229","https://openalex.org/W4285280214","https://openalex.org/W4301118033","https://openalex.org/W6681765996","https://openalex.org/W6732910048","https://openalex.org/W6809253229"],"related_works":["https://openalex.org/W1496222301","https://openalex.org/W3207760230","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297","https://openalex.org/W4280645561","https://openalex.org/W2997219463"],"abstract_inverted_index":{"Recent":[0],"research":[1],"in":[2,52,61,192,201],"Computer":[3],"Science":[4],"has":[5],"investigated":[6],"the":[7,86,90,116,123,135,138,144,153,158,161,166,176,186,193,199,205],"use":[8],"of":[9,29,108,114,118,125,134,137,160],"Deep":[10,55],"Learning":[11,56,110],"(DL)":[12],"techniques":[13,51,168],"to":[14,33,41,78,85,150,183],"complement":[15,42],"outcomes":[16],"or":[17],"decisions":[18],"within":[19],"a":[20,35,62,73,100,119,131],"Discrete":[21,58],"Event":[22],"Simulation":[23,171],"(DES)":[24],"model.":[25,92],"The":[26,179],"main":[27],"idea":[28],"this":[30,94],"combination":[31],"is":[32,69,76],"maintain":[34],"white":[36],"box":[37],"simulation":[38,60,68,91,121],"model":[39,75,140],"but":[40],"it":[43],"with":[44,122],"information":[45],"provided":[46],"by":[47,89,103],"DL":[48,74,139,194],"models.":[49],"State-of-the-art":[50],"BPM":[53],"combine":[54],"and":[57,71,82,111,172,175],"event":[59],"post-integration":[63,177],"fashion:":[64],"first":[65],"an":[66,189,208],"entire":[67],"performed,":[70],"then":[72],"used":[77],"add":[79],"waiting":[80],"times":[81,84],"processing":[83],"events":[87],"produced":[88],"In":[93],"paper,":[95],"we":[96],"aim":[97],"at":[98,141],"taking":[99],"step":[101],"further":[102,197],"introducing":[104],"RIMS":[105,129],"(Runtime":[106],"Integration":[107],"Machine":[109],"Simulation).":[112],"Instead":[113],"complementing":[115],"outcome":[117],"complete":[120],"results":[124],"predictions":[126,136,155],"\"a":[127],"posteriori\",":[128],"provides":[130],"tight":[132],"integration":[133],"runtime":[142],"during":[143],"simulation.":[145],"This":[146],"runtime-integration":[147,180],"enables":[148,181],"us":[149,182],"fully":[151],"exploit":[152],"specific":[154],"thus":[156,196],"enhancing":[157],"performance":[159,200],"overall":[162],"system":[163],"both":[164],"w.r.t.":[165],"single":[167],"(Business":[169],"Process":[170],"DL)":[173],"separately":[174],"approach.":[178],"also":[184],"incorporate":[185],"queue":[187,206],"as":[188],"intercase":[190],"feature":[191],"model,":[195],"improving":[198],"process":[202],"scenarios":[203],"where":[204],"plays":[207],"important":[209],"role.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":9}],"updated_date":"2026-05-04T08:30:34.212998","created_date":"2025-10-10T00:00:00"}
