{"id":"https://openalex.org/W4400663966","doi":"https://doi.org/10.1007/s40747-024-01528-7","title":"A novel bayesian network-based ensemble classifier chains for multi-label classification","display_name":"A novel bayesian network-based ensemble classifier chains for multi-label classification","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4400663966","doi":"https://doi.org/10.1007/s40747-024-01528-7"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01528-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01528-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01528-7.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01528-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079544172","display_name":"Zhenwu Wang","orcid":"https://orcid.org/0000-0002-8620-4623"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenwu Wang","raw_affiliation_strings":["School of Artificial Intelligence, China University of Mining and Technology, Beijing, 100083, China"],"raw_orcid":"https://orcid.org/0000-0002-8620-4623","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, China University of Mining and Technology, Beijing, 100083, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362573","display_name":"Shiqi Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqi Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, China University of Mining and Technology, Beijing, 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, China University of Mining and Technology, Beijing, 100083, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046935009","display_name":"Yang Chen","orcid":"https://orcid.org/0000-0003-4281-7185"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Chen","raw_affiliation_strings":["Department of Computer Science and Technology, China University of Mining and Technology, Beijing, 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, China University of Mining and Technology, Beijing, 100083, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070378980","display_name":"Mengjie Han","orcid":"https://orcid.org/0000-0003-4212-8582"},"institutions":[{"id":"https://openalex.org/I122274158","display_name":"Dalarna University","ror":"https://ror.org/000hdh770","country_code":"SE","type":"education","lineage":["https://openalex.org/I122274158"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Mengjie Han","raw_affiliation_strings":["School of Information and Engineering, Dalarna University, 79188, Falun, Sweden"],"raw_orcid":"https://orcid.org/0000-0003-4212-8582","affiliations":[{"raw_affiliation_string":"School of Information and Engineering, Dalarna University, 79188, Falun, Sweden","institution_ids":["https://openalex.org/I122274158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101819169","display_name":"Yang Zhou","orcid":"https://orcid.org/0000-0001-7882-9028"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhou","raw_affiliation_strings":["Department of Computer Science and Technology, China University of Mining and Technology, Beijing, 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, China University of Mining and Technology, Beijing, 100083, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075853272","display_name":"Benting Wan","orcid":"https://orcid.org/0000-0001-6643-2971"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Benting Wan","raw_affiliation_strings":["School of Software and IoT Engineering, Jiangxi University of Finance and Economics, Nanchang, 330013, China"],"raw_orcid":"https://orcid.org/0000-0001-6643-2971","affiliations":[{"raw_affiliation_string":"School of Software and IoT Engineering, Jiangxi University of Finance and Economics, Nanchang, 330013, China","institution_ids":["https://openalex.org/I59649739"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5070378980"],"corresponding_institution_ids":["https://openalex.org/I122274158"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":1.6557,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86092296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"10","issue":"5","first_page":"7373","last_page":"7399"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9955000281333923,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9948999881744385,"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/multi-label-classification","display_name":"Multi-label classification","score":0.7271111011505127},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.6911823153495789},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6188308000564575},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.595754861831665},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5629917979240417},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5367971658706665},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5231025218963623},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.49618086218833923},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4490627646446228},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.44755131006240845},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.42516186833381653},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.10010620951652527}],"concepts":[{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.7271111011505127},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.6911823153495789},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6188308000564575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.595754861831665},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5629917979240417},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5367971658706665},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5231025218963623},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.49618086218833923},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4490627646446228},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.44755131006240845},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.42516186833381653},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.10010620951652527}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s40747-024-01528-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01528-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01528-7.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:DiVA.org:du-49186","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:du-49186","pdf_url":null,"source":{"id":"https://openalex.org/S4406922326","display_name":"Dalarna University College Electronic Archive","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:6c41b04163a74220ad2b93c6fb105106","is_oa":true,"landing_page_url":"https://doaj.org/article/6c41b04163a74220ad2b93c6fb105106","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 10, Iss 5, Pp 7373-7399 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01528-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01528-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01528-7.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G171250028","display_name":null,"funder_award_id":"71972177","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"},{"id":"https://openalex.org/F4320323436","display_name":"H\u00f6gskolan Dalarna","ror":"https://ror.org/000hdh770"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400663966.pdf","grobid_xml":"https://content.openalex.org/works/W4400663966.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W79196995","https://openalex.org/W1511053376","https://openalex.org/W1515340688","https://openalex.org/W1524416683","https://openalex.org/W1953606363","https://openalex.org/W1965594727","https://openalex.org/W1998660429","https://openalex.org/W1999954155","https://openalex.org/W2010570954","https://openalex.org/W2015292887","https://openalex.org/W2029998585","https://openalex.org/W2052684427","https://openalex.org/W2053463056","https://openalex.org/W2119466907","https://openalex.org/W2126105956","https://openalex.org/W2129026672","https://openalex.org/W2156935079","https://openalex.org/W2164898213","https://openalex.org/W2237248385","https://openalex.org/W2281031972","https://openalex.org/W2331805790","https://openalex.org/W2552092782","https://openalex.org/W2748004102","https://openalex.org/W2784111930","https://openalex.org/W2808862089","https://openalex.org/W2914876074","https://openalex.org/W2993620107","https://openalex.org/W3001644051","https://openalex.org/W3011149291","https://openalex.org/W3091918465","https://openalex.org/W3112713339","https://openalex.org/W3115777617","https://openalex.org/W3173035603","https://openalex.org/W3198718561","https://openalex.org/W3200862286","https://openalex.org/W3204243612","https://openalex.org/W4206778865","https://openalex.org/W4210900108","https://openalex.org/W4212891210","https://openalex.org/W4221015591","https://openalex.org/W4225837239","https://openalex.org/W4229379071","https://openalex.org/W4232478844","https://openalex.org/W4283369267","https://openalex.org/W4286615625","https://openalex.org/W4288033436","https://openalex.org/W4312204145"],"related_works":["https://openalex.org/W2394466068","https://openalex.org/W1987683558","https://openalex.org/W2726838704","https://openalex.org/W4220802396","https://openalex.org/W2393473353","https://openalex.org/W2373790322","https://openalex.org/W2171665309","https://openalex.org/W2039871688","https://openalex.org/W2473820626","https://openalex.org/W2295624732"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2,64],"paper,":[3],"we":[4],"address":[5],"the":[6,59,76,80,101,106,113,139,161,185,203,212,215],"challenges":[7],"of":[8,79,93,105,141,152,196,202,214],"random":[9],"label":[10,56,72,142,153],"ordering":[11],"and":[12,33,54,74,103,124,206],"limited":[13],"interpretability":[14],"associated":[15],"with":[16],"Ensemble":[17],"Classifier":[18],"Chains":[19],"(ECC)":[20],"by":[21,66],"introducing":[22],"a":[23,91,150,219],"novel":[24],"ECC":[25,45,60,162],"method,":[26],"ECC-MOO&BN,":[27],"which":[28,127,155],"integrates":[29],"Bayesian":[30],"Networks":[31],"(BN)":[32],"Multi-Objective":[34],"Optimization":[35],"(MOO).":[36],"This":[37],"approach":[38],"is":[39],"designed":[40],"to":[41,70,89,120,223],"concurrently":[42],"overcome":[43],"these":[44],"limitations.":[46],"The":[47,109,144,200],"ECC-MOO&BN":[48],"method":[49,115,183,217],"focuses":[50],"on":[51,193],"extracting":[52],"diverse":[53],"interpretable":[55],"orderings":[57],"for":[58,164],"classifier.":[61],"We":[62],"initiated":[63],"process":[65],"employing":[67],"mutual":[68],"information":[69],"investigate":[71],"relationships":[73],"establish":[75],"initial":[77],"structures":[78],"BN.":[81],"Subsequently,":[82],"an":[83],"enhanced":[84],"NSGA-II":[85],"algorithm":[86],"was":[87],"applied":[88],"develop":[90],"series":[92,151],"Directed":[94],"Acyclic":[95],"Graphs":[96],"(DAGs)":[97],"that":[98,173,211],"effectively":[99],"balance":[100],"likelihood":[102,125],"complexity":[104,123],"BN":[107],"structure.":[108],"rationale":[110],"behind":[111],"using":[112],"MOO":[114],"lies":[116],"in":[117],"its":[118],"ability":[119],"optimize":[121],"both":[122],"simultaneously,":[126],"not":[128],"only":[129],"diversifies":[130],"DAG":[131],"generation":[132],"but":[133],"also":[134,209],"helps":[135],"avoid":[136],"overfitting":[137],"during":[138],"production":[140],"orderings.":[143],"DAGs,":[145],"once":[146],"sorted":[147],"topologically,":[148],"yielded":[149],"orderings,":[154],"were":[156],"then":[157],"seamlessly":[158],"integrated":[159],"into":[160],"framework":[163],"addressing":[165],"multi-label":[166],"classification":[167],"(MLC)":[168],"problems.":[169],"Experimental":[170],"results":[171,201],"show":[172],"when":[174],"benchmarked":[175],"against":[176],"eleven":[177],"leading-edge":[178],"MLC":[179,198],"algorithms,":[180],"our":[181],"proposed":[182,216],"achieves":[184],"highest":[186],"average":[187],"ranking":[188],"across":[189],"seven":[190],"evaluation":[191],"criteria":[192],"nine":[194],"out":[195],"thirteen":[197],"datasets.":[199],"Friedman":[204],"test":[205,208],"Nemenyi":[207],"indicate":[210],"performance":[213],"has":[218],"significant":[220],"advantage":[221],"compared":[222],"other":[224],"algorithms.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-10T14:07:55.174380","created_date":"2025-10-10T00:00:00"}