{"id":"https://openalex.org/W3211214978","doi":"https://doi.org/10.1109/access.2021.3121997","title":"Process Model Enhancement Through Capturing Important Behaviors and Rating Trace Variants","display_name":"Process Model Enhancement Through Capturing Important Behaviors and Rating Trace Variants","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3211214978","doi":"https://doi.org/10.1109/access.2021.3121997","mag":"3211214978"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3121997","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3121997","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09583290.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09583290.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018765937","display_name":"Mimi Wang","orcid":"https://orcid.org/0000-0001-5718-0653"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mimi Wang","raw_affiliation_strings":["College of Information Science and Technology, Donghua University, Shanghai, China","Engineering Research Center of Digitized Textile and Fashion Technology, Ministry of Education, Donghua University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5718-0653","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"Engineering Research Center of Digitized Textile and Fashion Technology, Ministry of Education, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101463432","display_name":"Xudong He","orcid":"https://orcid.org/0000-0003-2441-0250"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong He","raw_affiliation_strings":["College of Information Science and Technology, Donghua University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2441-0250","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030408817","display_name":"Peihai Zhao","orcid":"https://orcid.org/0000-0002-9484-3345"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peihai Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-9484-3345","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":{"value":2075,"currency":"USD","value_usd":2075},"apc_paid":{"value":2075,"currency":"USD","value_usd":2075},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23701655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"143634","last_page":"143660"},"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":0.9972000122070312,"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/T11719","display_name":"Data Quality and Management","score":0.989300012588501,"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":0.7582762241363525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7338942289352417},{"id":"https://openalex.org/keywords/process-mining","display_name":"Process mining","score":0.7261078357696533},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6610190868377686},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.6279757022857666},{"id":"https://openalex.org/keywords/business-process-discovery","display_name":"Business process discovery","score":0.6169270277023315},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6154946088790894},{"id":"https://openalex.org/keywords/conformance-checking","display_name":"Conformance checking","score":0.5944777131080627},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5440042614936829},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4973130524158478},{"id":"https://openalex.org/keywords/event-data","display_name":"Event data","score":0.4579547643661499},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4557288885116577},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.44971147179603577},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4348800778388977},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4278782606124878},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.3713550269603729},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3090726137161255},{"id":"https://openalex.org/keywords/business-process-management","display_name":"Business process management","score":0.17467352747917175},{"id":"https://openalex.org/keywords/business-process","display_name":"Business process","score":0.16325253248214722},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1164560317993164},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.0975470244884491},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0937095582485199}],"concepts":[{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7582762241363525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7338942289352417},{"id":"https://openalex.org/C124670913","wikidata":"https://www.wikidata.org/wiki/Q2608526","display_name":"Process mining","level":5,"score":0.7261078357696533},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6610190868377686},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.6279757022857666},{"id":"https://openalex.org/C93453677","wikidata":"https://www.wikidata.org/wiki/Q1017580","display_name":"Business process discovery","level":5,"score":0.6169270277023315},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6154946088790894},{"id":"https://openalex.org/C2775948798","wikidata":"https://www.wikidata.org/wiki/Q5160261","display_name":"Conformance checking","level":5,"score":0.5944777131080627},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5440042614936829},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4973130524158478},{"id":"https://openalex.org/C2987896495","wikidata":"https://www.wikidata.org/wiki/Q5416716","display_name":"Event data","level":3,"score":0.4579547643661499},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4557288885116577},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.44971147179603577},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4348800778388977},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4278782606124878},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.3713550269603729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3090726137161255},{"id":"https://openalex.org/C80309976","wikidata":"https://www.wikidata.org/wiki/Q7007379","display_name":"Business process management","level":4,"score":0.17467352747917175},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.16325253248214722},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1164560317993164},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.0975470244884491},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0937095582485199},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C207505557","wikidata":"https://www.wikidata.org/wiki/Q4374012","display_name":"Business process modeling","level":4,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3121997","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3121997","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09583290.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d1a30c7b309b480381c1b9c5687f3ff4","is_oa":true,"landing_page_url":"https://doaj.org/article/d1a30c7b309b480381c1b9c5687f3ff4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 143634-143660 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3121997","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3121997","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09583290.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4343924702","display_name":null,"funder_award_id":"2232020D-51","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5499030733","display_name":null,"funder_award_id":"2232021D-21","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3211214978.pdf","grobid_xml":"https://content.openalex.org/works/W3211214978.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1574032607","https://openalex.org/W1598385458","https://openalex.org/W1599327344","https://openalex.org/W1667596273","https://openalex.org/W1943545449","https://openalex.org/W2018588330","https://openalex.org/W2026493302","https://openalex.org/W2038057323","https://openalex.org/W2038819732","https://openalex.org/W2094132988","https://openalex.org/W2096458486","https://openalex.org/W2098250644","https://openalex.org/W2101238481","https://openalex.org/W2102863299","https://openalex.org/W2107720122","https://openalex.org/W2111207692","https://openalex.org/W2113071192","https://openalex.org/W2128410654","https://openalex.org/W2140369911","https://openalex.org/W2158891129","https://openalex.org/W2468625138","https://openalex.org/W2524473748","https://openalex.org/W2526226593","https://openalex.org/W2553057310","https://openalex.org/W2767274788","https://openalex.org/W2783560153","https://openalex.org/W2804147849","https://openalex.org/W2804517486","https://openalex.org/W2808376309","https://openalex.org/W2883359793","https://openalex.org/W2897516241","https://openalex.org/W2945379307","https://openalex.org/W2953572744","https://openalex.org/W2965911813","https://openalex.org/W2971468680","https://openalex.org/W3008584949","https://openalex.org/W3032967604","https://openalex.org/W3044946215","https://openalex.org/W3091875268","https://openalex.org/W3094071262","https://openalex.org/W3094293898","https://openalex.org/W3125493574","https://openalex.org/W3130644825","https://openalex.org/W3160446123","https://openalex.org/W3170069938","https://openalex.org/W4288356450","https://openalex.org/W4312219315","https://openalex.org/W6640660534","https://openalex.org/W6747591860","https://openalex.org/W6762404473","https://openalex.org/W6764920763","https://openalex.org/W6784152309","https://openalex.org/W6784624530","https://openalex.org/W6790014245","https://openalex.org/W6847959467"],"related_works":["https://openalex.org/W2808742510","https://openalex.org/W2989593792","https://openalex.org/W2970064447","https://openalex.org/W2965882148","https://openalex.org/W2803918818","https://openalex.org/W794897257","https://openalex.org/W3082470505","https://openalex.org/W2098984483","https://openalex.org/W2144946338","https://openalex.org/W2116056094"],"abstract_inverted_index":{"In":[0],"the":[1,45,50,64,105,113,132,135,146,149,156,163,166,170,192,214,217,235,242],"field":[2,114],"of":[3,44,66,78,98,115,134,148,165,194,216,244],"process":[4,12,47,62,83,116,219,228],"discovery,":[5],"it":[6],"is":[7,69,152],"worth":[8],"noting":[9],"that":[10,16,208],"most":[11],"discovery":[13,117,245],"algorithms":[14,85],"assume":[15],"event":[17,22,31,67,73,79,93,99,106,136,167,172,237],"logs":[18,23,32,196],"are":[19,108],"clean,":[20],"i.e.,":[21],"should":[24],"not":[25],"contain":[26,34,76,176],"infrequent":[27,35,102,128,143,177,188],"behaviors.":[28,178],"However,":[29,119],"real-life":[30],"often":[33],"behaviors":[36,103,129,189,200],"(i.e.,":[37],"outliers)":[38],"and":[39,61,86,101,130,190,201,239],"lead":[40],"to":[41,185],"quality":[42,215],"issues":[43],"discovered":[46,218],"model.":[48],"On":[49,155],"other":[51,157],"hand,":[52,158],"driven":[53],"by":[54,197],"recent":[55],"trends":[56],"such":[57,92],"as":[58],"big":[59],"data":[60,68,100],"automation,":[63],"volume":[65,147,193],"rapidly":[70],"increasing:":[71],"an":[72],"log":[74,107,151,173,238],"may":[75,88,174],"billions":[77],"data.":[80],"Unfortunately,":[81],"some":[82],"mining":[84],"platforms":[87],"have":[89],"difficulties":[90],"handling":[91],"logs.":[94],"The":[95],"ever-increasing":[96],"size":[97,133,164],"in":[104,112],"two":[109],"main":[110],"challenges":[111],"nowadays.":[118],"little":[120],"research":[121],"has":[122],"been":[123],"conducted":[124],"on":[125],"simultaneously":[126,186],"filtering":[127,139],"decreasing":[131],"log:":[137],"Various":[138],"methods":[140,160],"can":[141,161,211,224],"filter":[142,187],"behaviors,":[144],"whereas":[145],"filtered":[150],"still":[153,175],"considerable.":[154],"sampling":[159],"reduce":[162],"log,":[168],"but":[169],"processed":[171],"Therefore,":[179],"this":[180],"paper":[181],"proposes":[182],"a":[183,226],"technique":[184],"control":[191],"input":[195],"capturing":[198],"important":[199],"rating":[202],"trace":[203,232],"variants.":[204],"Our":[205],"experiments":[206],"show":[207],"our":[209,222],"approach":[210,223],"significantly":[212,240],"improve":[213],"models.":[220],"Furthermore,":[221],"obtain":[225],"better":[227],"model":[229],"from":[230],"0.001%":[231],"variants":[233],"than":[234],"complete":[236],"improves":[241],"runtime":[243],"algorithms.":[246]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2021-11-08T00:00:00"}
