{"id":"https://openalex.org/W4414265694","doi":"https://doi.org/10.1109/tetc.2025.3607892","title":"OER-Miner: One-Off Episode Rule Mining for Process Event Logs","display_name":"OER-Miner: One-Off Episode Rule Mining for Process Event Logs","publication_year":2025,"publication_date":"2025-09-16","ids":{"openalex":"https://openalex.org/W4414265694","doi":"https://doi.org/10.1109/tetc.2025.3607892"},"language":"en","primary_location":{"id":"doi:10.1109/tetc.2025.3607892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetc.2025.3607892","pdf_url":null,"source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Emerging Topics in Computing","raw_type":"journal-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/A5034766193","display_name":"Youxi Wu","orcid":"https://orcid.org/0000-0001-5314-3468"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Youxi Wu","raw_affiliation_strings":["School of Artificial Intelligence, Hebei University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-5314-3468","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhihong Dong","orcid":"https://orcid.org/0009-0006-0028-1000"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihong Dong","raw_affiliation_strings":["School of Artificial Intelligence, Hebei University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0006-0028-1000","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jing Liu","orcid":"https://orcid.org/0000-0002-0232-1444"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Liu","raw_affiliation_strings":["School of Artificial Intelligence, Hebei University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-0232-1444","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380302","display_name":"Yan Li","orcid":"https://orcid.org/0000-0002-1126-9772"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["School of Economics and Management, Hebei University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-1126-9772","affiliations":[{"raw_affiliation_string":"School of Economics and Management, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101409897","display_name":"Cong Liu","orcid":"https://orcid.org/0000-0002-2665-7153"},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Cong Liu","raw_affiliation_strings":["School of NOVA Information Management, Nova University of Lisbon, Lisbon, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-2665-7153","affiliations":[{"raw_affiliation_string":"School of NOVA Information Management, Nova University of Lisbon, Lisbon, Portugal","institution_ids":["https://openalex.org/I83558840"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030845033","display_name":"Lijie Wen","orcid":"https://orcid.org/0000-0003-0358-3160"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijie Wen","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0358-3160","affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080738591","display_name":"Xindong Wu","orcid":"https://orcid.org/0000-0003-2396-1704"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xindong Wu","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education of China), Hefei University of Technology, Hefei, China","Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China), Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-2396-1704","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education of China), Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China), Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5034766193"],"corresponding_institution_ids":["https://openalex.org/I184843921"],"apc_list":null,"apc_paid":null,"fwci":2.0307,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.90029851,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"13","issue":"4","first_page":"1497","last_page":"1509"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9983999729156494,"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":0.9983999729156494,"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":0.989300012588501,"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/T12594","display_name":"Collaboration in agile enterprises","score":0.9552000164985657,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/process-mining","display_name":"Process mining","score":0.7663999795913696},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.652999997138977},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5852000117301941},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5676000118255615},{"id":"https://openalex.org/keywords/web-mining","display_name":"Web mining","score":0.4018999934196472},{"id":"https://openalex.org/keywords/backtracking","display_name":"Backtracking","score":0.39959999918937683},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.391400009393692},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.38989999890327454}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7997999787330627},{"id":"https://openalex.org/C124670913","wikidata":"https://www.wikidata.org/wiki/Q2608526","display_name":"Process mining","level":5,"score":0.7663999795913696},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7519999742507935},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.652999997138977},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5852000117301941},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5676000118255615},{"id":"https://openalex.org/C197046077","wikidata":"https://www.wikidata.org/wiki/Q785337","display_name":"Web mining","level":3,"score":0.4018999934196472},{"id":"https://openalex.org/C156884757","wikidata":"https://www.wikidata.org/wiki/Q798554","display_name":"Backtracking","level":2,"score":0.39959999918937683},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.391400009393692},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.38989999890327454},{"id":"https://openalex.org/C2776543023","wikidata":"https://www.wikidata.org/wiki/Q2147046","display_name":"Rework","level":2,"score":0.38429999351501465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3587000072002411},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.3418000042438507},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32199999690055847},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.31779998540878296},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.2782999873161316},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C93453677","wikidata":"https://www.wikidata.org/wiki/Q1017580","display_name":"Business process discovery","level":5,"score":0.2538999915122986},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetc.2025.3607892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetc.2025.3607892","pdf_url":null,"source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Emerging Topics in Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1128271767","display_name":null,"funder_award_id":"62120106008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8082894880","display_name":null,"funder_award_id":"62372154","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1996185384","https://openalex.org/W2033727591","https://openalex.org/W2130296213","https://openalex.org/W2594852003","https://openalex.org/W2627014343","https://openalex.org/W2758905143","https://openalex.org/W2766959906","https://openalex.org/W2799775760","https://openalex.org/W2799813871","https://openalex.org/W2894761743","https://openalex.org/W2922053267","https://openalex.org/W2922897133","https://openalex.org/W2935741862","https://openalex.org/W2944571405","https://openalex.org/W2963212997","https://openalex.org/W2965562874","https://openalex.org/W2986460990","https://openalex.org/W2993917720","https://openalex.org/W2997234453","https://openalex.org/W3008904129","https://openalex.org/W3014722445","https://openalex.org/W3111896222","https://openalex.org/W3125241635","https://openalex.org/W3131733454","https://openalex.org/W3149458374","https://openalex.org/W3152940359","https://openalex.org/W3157801023","https://openalex.org/W3169551350","https://openalex.org/W3210621838","https://openalex.org/W4210496617","https://openalex.org/W4226468944","https://openalex.org/W4289766427","https://openalex.org/W4292825863","https://openalex.org/W4293812158","https://openalex.org/W4312306135","https://openalex.org/W4313639335","https://openalex.org/W4319866307","https://openalex.org/W4367595503","https://openalex.org/W4388819977","https://openalex.org/W4389150754","https://openalex.org/W4389895386","https://openalex.org/W4391575372","https://openalex.org/W4401878991"],"related_works":[],"abstract_inverted_index":{"Episode":[0],"mining":[1,8,53,76,91,185],"is":[2,13],"an":[3],"active":[4],"subfield":[5],"of":[6,47,57,144,197],"data":[7,20],"in":[9,180],"which":[10,49],"the":[11,45,102,126,142,181,192,198],"aim":[12],"to":[14,25,52,140,172,176,190],"retrieve":[15],"important":[16],"knowledge":[17],"from":[18,211],"temporal":[19],"and":[21,29,43,85,101,110,119,132,135,195,200],"can":[22,96,169,208],"be":[23,170,209],"used":[24],"analyze":[26],"fault":[27],"reports":[28],"web":[30],"navigation":[31],"logs.":[32,165],"However,":[33],"existing":[34],"methods":[35],"generally":[36],"do":[37],"not":[38,62],"consider":[39],"time":[40,78],"gap":[41,79],"constraints,":[42],"overestimate":[44],"frequency":[46],"episodes,":[48,114],"may":[50],"lead":[51],"a":[54,87,152,173],"large":[55],"number":[56,143],"episodes":[58,100],"that":[59,95,149],"users":[60],"are":[61,138],"interested":[63],"in.":[64],"To":[65,107,123],"tackle":[66],"this":[67,69],"problem,":[68],"paper":[70],"investigates":[71],"one-off":[72,88,99,187],"episode":[73,89,117,128,188],"rule":[74,90],"(OER)":[75],"with":[77],"constraints":[80],"for":[81,203],"process":[82,183],"event":[83,164],"logs":[84],"proposes":[86],"algorithm":[92],"called":[93],"OER-Miner":[94,150,168],"mine":[97],"frequent":[98],"implicit":[103],"relationship":[104],"among":[105],"them.":[106],"generate":[108],"fewer":[109],"prune":[111],"unpromising":[112],"candidate":[113,127],"OERMiner":[115],"utilizes":[116],"join":[118],"pruning":[120],"strategies,":[121],"respectively.":[122],"efficiently":[124],"calculate":[125,141],"support,":[129],"position":[130],"indexes,":[131],"depth-first":[133],"search":[134],"backtracking":[136],"strategies":[137],"applied":[139,171],"occurrences.":[145],"Experimental":[146],"results":[147],"verify":[148],"yields":[151],"better":[153],"performance":[154],"than":[155],"seven":[156],"other":[157],"competitive":[158],"algorithms":[159,207],"on":[160],"nine":[161],"publicly":[162],"available":[163],"More":[166],"importantly,":[167],"real-industrial":[174],"log":[175],"identify":[177],"rework":[178],"phenomena":[179],"production":[182],"by":[184],"strong":[186],"rules,":[189],"discover":[191],"optimal":[193],"processes":[194],"deficiencies":[196],"system,":[199],"provide":[201],"recommendations":[202],"further":[204],"improvement.":[205],"All":[206],"downloaded":[210],"https://github.com/wuc567/PatternMining/tree/master/OER-Miner":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-12-06T23:10:59.065948","created_date":"2025-10-10T00:00:00"}
