{"id":"https://openalex.org/W2093128070","doi":"https://doi.org/10.1109/cidm.2013.6597224","title":"Business models enhancement through discovery of roles","display_name":"Business models enhancement through discovery of roles","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2093128070","doi":"https://doi.org/10.1109/cidm.2013.6597224","mag":"2093128070"},"language":"en","primary_location":{"id":"doi:10.1109/cidm.2013.6597224","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cidm.2013.6597224","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)","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/A5077864256","display_name":"Andrea Burattin","orcid":"https://orcid.org/0000-0002-0837-0183"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Andrea Burattin","raw_affiliation_strings":["Department of Mathematics, University of Padua, Italy","Dept. of Math., Univ. of Padua, Padua, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Padua, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Dept. of Math., Univ. of Padua, Padua, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064873591","display_name":"Alessandro Sperduti","orcid":"https://orcid.org/0000-0002-8686-850X"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Sperduti","raw_affiliation_strings":["Department of Mathematics, University of Padua, Italy","Dept. of Math., Univ. of Padua, Padua, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Padua, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Dept. of Math., Univ. of Padua, Padua, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023181054","display_name":"Marco Veluscek","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marco Veluscek","raw_affiliation_strings":["Research and Development Department, SIAV S. p. A., Rubano, Italy","R&D Dept., SIAV S.p.A., Rubano, Italy"],"affiliations":[{"raw_affiliation_string":"Research and Development Department, SIAV S. p. A., Rubano, Italy","institution_ids":[]},{"raw_affiliation_string":"R&D Dept., SIAV S.p.A., Rubano, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077864256"],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":null,"apc_paid":null,"fwci":4.2901,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.94077277,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"103","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9927999973297119,"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"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9133999943733215,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7818824648857117},{"id":"https://openalex.org/keywords/business-process","display_name":"Business process","score":0.6929903030395508},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6749478578567505},{"id":"https://openalex.org/keywords/business-process-discovery","display_name":"Business process discovery","score":0.672397255897522},{"id":"https://openalex.org/keywords/business-process-modeling","display_name":"Business process modeling","score":0.6550410389900208},{"id":"https://openalex.org/keywords/business-process-management","display_name":"Business process management","score":0.62171471118927},{"id":"https://openalex.org/keywords/business-process-model-and-notation","display_name":"Business Process Model and Notation","score":0.5553881525993347},{"id":"https://openalex.org/keywords/process-mining","display_name":"Process mining","score":0.5114761590957642},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4811462163925171},{"id":"https://openalex.org/keywords/artifact-centric-business-process-model","display_name":"Artifact-centric business process model","score":0.4776686131954193},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.47506019473075867},{"id":"https://openalex.org/keywords/process-modeling","display_name":"Process modeling","score":0.47454413771629333},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4715309739112854},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4649549722671509},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.43097811937332153},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.3163131773471832},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12457883358001709}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7818824648857117},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.6929903030395508},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6749478578567505},{"id":"https://openalex.org/C93453677","wikidata":"https://www.wikidata.org/wiki/Q1017580","display_name":"Business process discovery","level":5,"score":0.672397255897522},{"id":"https://openalex.org/C207505557","wikidata":"https://www.wikidata.org/wiki/Q4374012","display_name":"Business process modeling","level":4,"score":0.6550410389900208},{"id":"https://openalex.org/C80309976","wikidata":"https://www.wikidata.org/wiki/Q7007379","display_name":"Business process management","level":4,"score":0.62171471118927},{"id":"https://openalex.org/C179299601","wikidata":"https://www.wikidata.org/wiki/Q1017605","display_name":"Business Process Model and Notation","level":5,"score":0.5553881525993347},{"id":"https://openalex.org/C124670913","wikidata":"https://www.wikidata.org/wiki/Q2608526","display_name":"Process mining","level":5,"score":0.5114761590957642},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4811462163925171},{"id":"https://openalex.org/C162754035","wikidata":"https://www.wikidata.org/wiki/Q17006331","display_name":"Artifact-centric business process model","level":5,"score":0.4776686131954193},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.47506019473075867},{"id":"https://openalex.org/C76956256","wikidata":"https://www.wikidata.org/wiki/Q27610560","display_name":"Process modeling","level":3,"score":0.47454413771629333},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4715309739112854},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4649549722671509},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.43097811937332153},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.3163131773471832},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12457883358001709},{"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cidm.2013.6597224","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cidm.2013.6597224","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.946.1005","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.946.1005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://andrea.burattin.net/public-files/publications/2013-cidm.pdf","raw_type":"text"},{"id":"pmh:oai:www.research.unipd.it:11577/2838664","is_oa":false,"landing_page_url":"http://hdl.handle.net/11577/2838664","pdf_url":null,"source":{"id":"https://openalex.org/S4377196283","display_name":"Research Padua  Archive (University of Padua)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W73629738","https://openalex.org/W1490658580","https://openalex.org/W1530724142","https://openalex.org/W1532325895","https://openalex.org/W1565132002","https://openalex.org/W1570448133","https://openalex.org/W1583866884","https://openalex.org/W1995875735","https://openalex.org/W2101238481","https://openalex.org/W2108117917","https://openalex.org/W2111207692","https://openalex.org/W2157671835","https://openalex.org/W2340364767","https://openalex.org/W2751199251","https://openalex.org/W2753439427","https://openalex.org/W3110581234","https://openalex.org/W4213009331","https://openalex.org/W4230145224","https://openalex.org/W4285719527","https://openalex.org/W4372046852","https://openalex.org/W6631677770","https://openalex.org/W7073772456"],"related_works":["https://openalex.org/W2150478723","https://openalex.org/W4365511202","https://openalex.org/W4300560926","https://openalex.org/W2142618121","https://openalex.org/W93556318","https://openalex.org/W3142251153","https://openalex.org/W2787262806","https://openalex.org/W2075492678","https://openalex.org/W4300427051","https://openalex.org/W4312816458"],"abstract_inverted_index":{"Control":[0],"flow":[1],"discovery":[2],"algorithms":[3],"are":[4,119,125,136],"able":[5],"to":[6,27,39,43,74,128,171],"reconstruct":[7],"the":[8,28,40,60,85,92,99,106,122,146,159,173],"workflow":[9],"of":[10,17,30,87,94,96,101,108,116,134,148,162],"a":[11,15,76],"business":[12,50,77],"process":[13,61,78],"from":[14],"log":[16],"performed":[18,120],"activities.":[19],"These":[20],"algorithms,":[21],"however,":[22],"do":[23,34],"not":[24,35,152],"pay":[25],"attention":[26],"reconstruction":[29],"roles,":[31],"i.e.":[32],"they":[33],"group":[36],"activities":[37,109,117,135],"according":[38],"skills":[41],"required":[42],"perform":[44],"them.":[45],"Information":[46],"about":[47],"roles":[48,88,104,150,175],"in":[49,66],"processes":[51],"is":[52,89,110,151],"commonly":[53],"considered":[54],"important":[55],"and":[56,113,155],"explicitly":[57],"integrated":[58],"into":[59],"representation,":[62],"e.g.":[63],"as":[64],"swimlanes":[65],"BPMN":[67],"diagrams.":[68],"This":[69],"work":[70],"proposes":[71],"an":[72,167],"approach":[73],"enhance":[75],"model":[79],"with":[80],"information":[81],"on":[82,91,141],"roles.":[83,97,130,163],"Specifically,":[84],"identification":[86],"based":[90,169],"detection":[93],"handover":[95],"On":[98],"basis":[100],"candidates":[102],"for":[103],"handover,":[105],"set":[107,147],"first":[111],"partitioned":[112],"then":[114],"subsets":[115],"which":[118,176],"by":[121],"same":[123],"originators":[124],"merged,":[126],"so":[127],"obtain":[129],"All":[131],"significant":[132],"partitions":[133],"automatically":[137],"generated.":[138],"Experimental":[139],"results":[140],"several":[142],"logs":[143],"show":[144],"that":[145],"generated":[149],"too":[153],"large":[154],"it":[156],"always":[157],"contains":[158],"correct":[160],"definition":[161],"We":[164],"also":[165],"propose":[166],"entropy":[168],"measure":[170],"rank":[172],"candidate":[174],"returns":[177],"promising":[178],"experimental":[179],"results.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}