{"id":"https://openalex.org/W4387470023","doi":"https://doi.org/10.1109/icpm60904.2023.10271971","title":"An Approximate Inductive Miner","display_name":"An Approximate Inductive Miner","publication_year":2023,"publication_date":"2023-10-09","ids":{"openalex":"https://openalex.org/W4387470023","doi":"https://doi.org/10.1109/icpm60904.2023.10271971"},"language":"en","primary_location":{"id":"doi:10.1109/icpm60904.2023.10271971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpm60904.2023.10271971","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093031470","display_name":"Jan Niklas van Detten","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jan Niklas van Detten","raw_affiliation_strings":["Celonis Labs GmbH & RWTH Aachen,Aachen,Germany"],"affiliations":[{"raw_affiliation_string":"Celonis Labs GmbH & RWTH Aachen,Aachen,Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039042303","display_name":"P.E. Schumacher","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pol Schumacher","raw_affiliation_strings":["Celonis Labs GmbH,München,Germany"],"affiliations":[{"raw_affiliation_string":"Celonis Labs GmbH,München,Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088302185","display_name":"Sander J. J. Leemans","orcid":"https://orcid.org/0000-0002-5201-7125"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sander J. J. Leemans","raw_affiliation_strings":["RWTH Aachen,Aachen,Germany","RWTH Aachen, Aachen, Germany"],"affiliations":[{"raw_affiliation_string":"RWTH Aachen,Aachen,Germany","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"RWTH Aachen, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5093031470"],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":null,"apc_paid":null,"fwci":3.8488,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.93647762,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"129","last_page":"136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":1.0,"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":1.0,"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/T11125","display_name":"Petri Nets in System Modeling","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7019282579421997},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6767882704734802},{"id":"https://openalex.org/keywords/business-process-discovery","display_name":"Business process discovery","score":0.6545467376708984},{"id":"https://openalex.org/keywords/process-mining","display_name":"Process mining","score":0.6394810676574707},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5500876903533936},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5225457549095154},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5043197870254517},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.49004065990448},{"id":"https://openalex.org/keywords/process-modeling","display_name":"Process modeling","score":0.4624033570289612},{"id":"https://openalex.org/keywords/business-process","display_name":"Business process","score":0.3867645859718323},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37010425329208374},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3136548101902008},{"id":"https://openalex.org/keywords/business-process-modeling","display_name":"Business process modeling","score":0.2756803035736084},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.19576671719551086},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08548307418823242}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7019282579421997},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6767882704734802},{"id":"https://openalex.org/C93453677","wikidata":"https://www.wikidata.org/wiki/Q1017580","display_name":"Business process discovery","level":5,"score":0.6545467376708984},{"id":"https://openalex.org/C124670913","wikidata":"https://www.wikidata.org/wiki/Q2608526","display_name":"Process mining","level":5,"score":0.6394810676574707},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5500876903533936},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5225457549095154},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5043197870254517},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.49004065990448},{"id":"https://openalex.org/C76956256","wikidata":"https://www.wikidata.org/wiki/Q27610560","display_name":"Process modeling","level":3,"score":0.4624033570289612},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.3867645859718323},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37010425329208374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3136548101902008},{"id":"https://openalex.org/C207505557","wikidata":"https://www.wikidata.org/wiki/Q4374012","display_name":"Business process modeling","level":4,"score":0.2756803035736084},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.19576671719551086},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08548307418823242},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpm60904.2023.10271971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpm60904.2023.10271971","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W168360754","https://openalex.org/W1575913973","https://openalex.org/W1943545449","https://openalex.org/W1945283334","https://openalex.org/W1978996774","https://openalex.org/W1996109622","https://openalex.org/W2038057323","https://openalex.org/W2094132988","https://openalex.org/W2132077759","https://openalex.org/W2138001925","https://openalex.org/W2149406428","https://openalex.org/W2158891129","https://openalex.org/W2165661376","https://openalex.org/W2334129451","https://openalex.org/W2607172616","https://openalex.org/W2617628371","https://openalex.org/W2620170772","https://openalex.org/W2773897169","https://openalex.org/W2802358804","https://openalex.org/W2808376309","https://openalex.org/W2884586244","https://openalex.org/W2963107557","https://openalex.org/W3211286382","https://openalex.org/W6640660534","https://openalex.org/W6680167105","https://openalex.org/W6738941664","https://openalex.org/W6765709241","https://openalex.org/W6891588980","https://openalex.org/W6928829415","https://openalex.org/W6966664262"],"related_works":["https://openalex.org/W2142618121","https://openalex.org/W3184122949","https://openalex.org/W4389937450","https://openalex.org/W88310037","https://openalex.org/W2734067265","https://openalex.org/W3194914602","https://openalex.org/W2156732239","https://openalex.org/W2787307845","https://openalex.org/W2893262861","https://openalex.org/W4285420522"],"abstract_inverted_index":{"Process":[0],"discovery":[1,12,100],"algorithms":[2,13,101],"extract":[3],"process":[4,8],"models":[5,23,51,126],"from":[6],"business":[7],"event":[9,30,80,106,138,150],"logs.":[10,31,139],"Existing":[11],"require":[14],"upfront":[15,166],"filtering,":[16],"or":[17,59,165],"specific":[18],"parameter":[19,61,87,115,163],"input,":[20],"to":[21,39,48,74,89,144],"produce":[22],"with":[24,98,127],"balanced":[25],"quality":[26,111],"dimensions":[27],"on":[28,102,121,136],"real-life":[29,105],"We":[32,95,117],"propose":[33],"the":[34,65,79,110,113],"Approximate":[35],"Inductive":[36,67],"Miner":[37,68],"(AIM)":[38],"fill":[40],"this":[41],"gap":[42],"and":[43,70,104,108,132,156],"offer":[44],"an":[45,85],"automated":[46],"way":[47],"discover":[49],"sound":[50,125],"in":[52,78],"polynomial":[53],"time":[54],"complexity,":[55],"without":[56,159],"any":[57,161],"pre-processing":[58],"mandatory":[60],"input.":[62],"AIM":[63,97,120,141],"uses":[64],"existing":[66,99],"framework":[69],"applies":[71],"clustering":[72],"techniques":[73],"recursively":[75],"identify":[76],"structures":[77],"log.":[81],"It":[82],"additionally":[83],"performs":[84],"approximate":[86],"optimisation":[88],"dynamically":[90],"suggest":[91],"a":[92,146],"suitable":[93],"parameter.":[94],"compare":[96],"synthetic":[103],"logs,":[107],"evaluate":[109],"of":[112,149],"integrated":[114],"suggestion.":[116],"find":[118],"that":[119],"its":[122],"own":[123],"produces":[124],"low":[128],"control":[129],"flow":[130],"complexity":[131],"high":[133],"precision,":[134],"even":[135],"complex":[137],"Additionally,":[140],"is":[142],"able":[143],"handle":[145],"vast":[147],"range":[148],"log":[151],"properties,":[152],"such":[153],"as":[154],"infrequent":[155],"incomplete":[157],"behaviour,":[158],"requiring":[160],"human":[162],"input":[164],"filtering.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}