{"id":"https://openalex.org/W3125328737","doi":"https://doi.org/10.3390/app11020864","title":"POP-ON: Prediction of Process Using One-Way Language Model Based on NLP Approach","display_name":"POP-ON: Prediction of Process Using One-Way Language Model Based on NLP Approach","publication_year":2021,"publication_date":"2021-01-18","ids":{"openalex":"https://openalex.org/W3125328737","doi":"https://doi.org/10.3390/app11020864","mag":"3125328737"},"language":"en","primary_location":{"id":"doi:10.3390/app11020864","doi":"https://doi.org/10.3390/app11020864","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app11020864","pdf_url":"https://www.mdpi.com/2076-3417/11/2/864/pdf?version=1611656010","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2076-3417/11/2/864/pdf?version=1611656010","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020214285","display_name":"Junhyung Moon","orcid":"https://orcid.org/0000-0002-2280-8209","observed_orcids":["https://orcid.org/0000-0002-2280-8209"]},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junhyung Moon","raw_affiliation_strings":["Department of Smart Factory Convergence, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, Korea"],"raw_orcid":"https://orcid.org/0000-0002-2280-8209","affiliations":[{"raw_affiliation_string":"Department of Smart Factory Convergence, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103042681","display_name":"Gyuyoung Park","orcid":"https://orcid.org/0000-0002-4916-6576","observed_orcids":["https://orcid.org/0000-0002-4916-6576"]},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gyuyoung Park","raw_affiliation_strings":["Department of Systems Management Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, Korea"],"raw_orcid":"https://orcid.org/0000-0002-4916-6576","affiliations":[{"raw_affiliation_string":"Department of Systems Management Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031383405","display_name":"Jongpil Jeong","orcid":"https://orcid.org/0000-0002-4061-9532","observed_orcids":["https://orcid.org/0000-0002-4061-9532"]},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jongpil Jeong","raw_affiliation_strings":["Department of Smart Factory Convergence, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, Korea"],"raw_orcid":"https://orcid.org/0000-0002-4061-9532","affiliations":[{"raw_affiliation_string":"Department of Smart Factory Convergence, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5031383405"],"corresponding_institution_ids":["https://openalex.org/I848706"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2160},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2160},"fwci":4.6021,"has_fulltext":true,"cited_by_count":32,"citation_normalized_percentile":{"value":0.94542406,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"11","issue":"2","first_page":"864","last_page":"864"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9984999895095825,"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":0.9984999895095825,"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/T13287","display_name":"Robotic Process Automation Applications","score":0.00019999999494757503,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/business-process-monitoring","display_name":"business process monitoring","score":0.7850000262260437},{"id":"https://openalex.org/keywords/next-event-prediction","display_name":"next event prediction","score":0.8090000152587891},{"id":"https://openalex.org/keywords/event-log-analysis","display_name":"event log analysis","score":0.578000009059906},{"id":"https://openalex.org/keywords/transformer","display_name":"transformer models","score":0.5400000214576721},{"id":"https://openalex.org/keywords/attention-mechanism","display_name":"attention mechanism","score":0.8450000286102295},{"id":"https://openalex.org/keywords/process-deviations","display_name":"process deviations","score":0.42500001192092896},{"id":"https://openalex.org/keywords/business-process-management","display_name":"business process management","score":0.5529999732971191}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7887201905250549},{"id":"https://openalex.org/C124670913","wikidata":"https://www.wikidata.org/wiki/Q2608526","display_name":"Process mining","level":5,"score":0.7176476716995239},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.6612817049026489},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.632290780544281},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5984790325164795},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5773173570632935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5434664487838745},{"id":"https://openalex.org/C80309976","wikidata":"https://www.wikidata.org/wiki/Q7007379","display_name":"Business process management","level":4,"score":0.4925471246242523},{"id":"https://openalex.org/C76956256","wikidata":"https://www.wikidata.org/wiki/Q27610560","display_name":"Process modeling","level":3,"score":0.48019254207611084},{"id":"https://openalex.org/C207505557","wikidata":"https://www.wikidata.org/wiki/Q4374012","display_name":"Business process modeling","level":4,"score":0.4711631238460541},{"id":"https://openalex.org/C123606473","wikidata":"https://www.wikidata.org/wiki/Q907918","display_name":"Complex event processing","level":3,"score":0.4694642126560211},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43629926443099976},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.423445463180542},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3955392837524414},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.2981761693954468},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.19787567853927612},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08401528000831604},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/app11020864","doi":"https://doi.org/10.3390/app11020864","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app11020864","pdf_url":"https://www.mdpi.com/2076-3417/11/2/864/pdf?version=1611656010","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:55f47737244f4e9da8c540d8c57562fd","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/55f47737244f4e9da8c540d8c57562fd","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,"listed_in":[],"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":"Applied Sciences, Vol 11, Iss 2, p 864 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/app11020864","doi":"https://doi.org/10.3390/app11020864","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app11020864","pdf_url":"https://www.mdpi.com/2076-3417/11/2/864/pdf?version=1611656010","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1523759230","display_name":null,"funder_award_id":"S2727115","funder_id":"https://openalex.org/F4320327819","funder_display_name":"Ministry of SMEs and Startups"},{"id":"https://openalex.org/G3158201644","display_name":null,"funder_award_id":"S2727115","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G866695676","display_name":null,"funder_award_id":"IITP-2020-2018-0-01417","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"}],"funders":[{"id":"https://openalex.org/F4320324891","display_name":"Iran Telecommunication Research Center","ror":"https://ror.org/01a3g2z22"},{"id":"https://openalex.org/F4320327819","display_name":"Ministry of SMEs and Startups","ror":null},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3125328737.pdf","grobid_xml":"https://content.openalex.org/works/W3125328737.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W651919889","https://openalex.org/W1967358196","https://openalex.org/W1973134064","https://openalex.org/W1979387181","https://openalex.org/W2079436319","https://openalex.org/W2095705004","https://openalex.org/W2100115309","https://openalex.org/W2101238481","https://openalex.org/W2132304385","https://openalex.org/W2166546927","https://openalex.org/W2194775991","https://openalex.org/W2338335491","https://openalex.org/W2500048013","https://openalex.org/W2520394329","https://openalex.org/W2581522324","https://openalex.org/W2584722588","https://openalex.org/W2610829762","https://openalex.org/W2626778328","https://openalex.org/W2734343076","https://openalex.org/W2735889767","https://openalex.org/W2786462606","https://openalex.org/W2787560479","https://openalex.org/W2884606998","https://openalex.org/W2906152891","https://openalex.org/W2939121306","https://openalex.org/W2966756122","https://openalex.org/W2969940319","https://openalex.org/W2971569798","https://openalex.org/W2987728367","https://openalex.org/W3008225579","https://openalex.org/W3017239579","https://openalex.org/W3118784016","https://openalex.org/W6783923931"],"related_works":["https://openalex.org/W4389911918","https://openalex.org/W3140537353","https://openalex.org/W4413861799","https://openalex.org/W3153615297","https://openalex.org/W4407743846","https://openalex.org/W2746780440","https://openalex.org/W4400094301","https://openalex.org/W2584722588","https://openalex.org/W4405430592","https://openalex.org/W3094374486"],"abstract_inverted_index":{"In":[0],"business":[1,145],"process":[2,57,61,146,161],"management,":[3],"the":[4,38,44,50,56,59,85,108,112,115,120,132,150,154,160],"monitoring":[5],"service":[6],"is":[7,28,35,53,129,166],"an":[8,31],"important":[9],"element":[10],"that":[11,34],"can":[12,74],"prevent":[13],"various":[14,144],"problems":[15],"in":[16,22,30,80,100,114],"advance":[17],"from":[18],"before":[19],"they":[20],"occur":[21],"companies":[23],"and":[24,63,118],"industries.":[25],"Execution":[26],"log":[27,71,147],"created":[29],"information":[32],"system":[33],"aware":[36],"of":[37,49,111,153,159],"enterprise":[39],"process,":[40],"which":[41,96],"helps":[42],"predict":[43,55,64],"process.":[45],"The":[46,157],"ultimate":[47],"goal":[48],"proposed":[51,133,155],"method":[52],"to":[54,77,138],"following":[58],"running":[60],"instance":[62],"events":[65],"based":[66],"on":[67],"previously":[68],"completed":[69],"event":[70,87,113],"data.":[72],"Companies":[73],"flexibly":[75],"respond":[76],"unwanted":[78],"deviations":[79],"their":[81],"workflow.":[82],"When":[83],"solving":[84],"next":[86,121],"prediction":[88,162],"problem,":[89],"we":[90,164],"use":[91],"a":[92],"fully":[93],"attention-based":[94],"transformer,":[95],"has":[97],"performed":[98],"well":[99],"recent":[101],"natural":[102,116],"language":[103,117],"processing":[104],"approaches.":[105],"After":[106],"recognizing":[107],"name":[109,158],"attribute":[110],"predicting":[119],"event,":[122],"several":[123],"necessary":[124],"elements":[125],"were":[126],"applied.":[127],"It":[128],"trained":[130],"using":[131,143],"deep":[134],"learning":[135],"model":[136,163],"according":[137],"specific":[139],"pre-processing":[140],"steps.":[141],"Experiments":[142],"datasets":[148],"demonstrate":[149],"superior":[151],"performance":[152],"method.":[156],"propose":[165],"\u201cPOP-ON\u201d.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2021-02-01T00:00:00"}