{"id":"https://openalex.org/W3088675522","doi":"https://doi.org/10.1109/access.2020.3024745","title":"An Efficient Multi-Label SVM Classification Algorithm by Combining Approximate Extreme Points Method and Divide-and-Conquer Strategy","display_name":"An Efficient Multi-Label SVM Classification Algorithm by Combining Approximate Extreme Points Method and Divide-and-Conquer Strategy","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3088675522","doi":"https://doi.org/10.1109/access.2020.3024745","mag":"3088675522"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3024745","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3024745","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09199887.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/8948470/09199887.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074118615","display_name":"Zhongwei Sun","orcid":"https://orcid.org/0000-0001-8615-7460"},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]},{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongwei Sun","raw_affiliation_strings":["The School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-8615-7460","affiliations":[{"raw_affiliation_string":"The School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China","institution_ids":["https://openalex.org/I143413998","https://openalex.org/I44468530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032015058","display_name":"Xiuyan Liu","orcid":"https://orcid.org/0000-0001-7380-5588"},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]},{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuyan Liu","raw_affiliation_strings":["The School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-7380-5588","affiliations":[{"raw_affiliation_string":"The School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China","institution_ids":["https://openalex.org/I143413998","https://openalex.org/I44468530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074313469","display_name":"Keyong Hu","orcid":"https://orcid.org/0000-0002-6004-6073"},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]},{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keyong Hu","raw_affiliation_strings":["The School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-6004-6073","affiliations":[{"raw_affiliation_string":"The School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China","institution_ids":["https://openalex.org/I143413998","https://openalex.org/I44468530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115076694","display_name":"Zhuang Li","orcid":"https://orcid.org/0009-0006-3870-4275"},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]},{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuang Li","raw_affiliation_strings":["The School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China","institution_ids":["https://openalex.org/I143413998","https://openalex.org/I44468530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100375038","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0002-6834-5350"},"institutions":[{"id":"https://openalex.org/I146773158","display_name":"Qingdao Agricultural University","ror":"https://ror.org/051qwcj72","country_code":"CN","type":"education","lineage":["https://openalex.org/I146773158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Liu","raw_affiliation_strings":["The School of Science and Information, Qingdao Agriculture University, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The School of Science and Information, Qingdao Agriculture University, Qingdao, China","institution_ids":["https://openalex.org/I146773158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7823,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.78719692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"170967","last_page":"170975"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9995999932289124,"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":0.9995999932289124,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9801999926567078,"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/divide-and-conquer-algorithms","display_name":"Divide and conquer algorithms","score":0.926055908203125},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7489398717880249},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7222596406936646},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5829047560691833},{"id":"https://openalex.org/keywords/extreme-point","display_name":"Extreme point","score":0.47314536571502686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4424607753753662},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.4383167326450348},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43715932965278625},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4371478259563446},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.41469883918762207},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4140041172504425},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3965742588043213},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39530378580093384},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21434271335601807}],"concepts":[{"id":"https://openalex.org/C71559656","wikidata":"https://www.wikidata.org/wiki/Q671298","display_name":"Divide and conquer algorithms","level":2,"score":0.926055908203125},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7489398717880249},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7222596406936646},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5829047560691833},{"id":"https://openalex.org/C39847760","wikidata":"https://www.wikidata.org/wiki/Q1385465","display_name":"Extreme point","level":2,"score":0.47314536571502686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4424607753753662},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.4383167326450348},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43715932965278625},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4371478259563446},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.41469883918762207},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4140041172504425},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3965742588043213},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39530378580093384},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21434271335601807},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3024745","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3024745","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09199887.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:acbd25a84cf243bd8d60f12676d4af66","is_oa":true,"landing_page_url":"https://doaj.org/article/acbd25a84cf243bd8d60f12676d4af66","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 8, Pp 170967-170975 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3024745","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3024745","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09199887.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/G1704735837","display_name":null,"funder_award_id":"61902205","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3088675522.pdf","grobid_xml":"https://content.openalex.org/works/W3088675522.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W55768394","https://openalex.org/W1533320424","https://openalex.org/W1753402186","https://openalex.org/W1964599475","https://openalex.org/W1986159170","https://openalex.org/W1997405810","https://openalex.org/W1999126347","https://openalex.org/W2027266161","https://openalex.org/W2029517229","https://openalex.org/W2052684427","https://openalex.org/W2053463056","https://openalex.org/W2085944479","https://openalex.org/W2103614420","https://openalex.org/W2105867876","https://openalex.org/W2114315281","https://openalex.org/W2115975329","https://openalex.org/W2118712128","https://openalex.org/W2118978333","https://openalex.org/W2119466907","https://openalex.org/W2153635508","https://openalex.org/W2155319834","https://openalex.org/W2156909104","https://openalex.org/W2775653686","https://openalex.org/W2799567455","https://openalex.org/W2808862089","https://openalex.org/W2885517796","https://openalex.org/W2911914007","https://openalex.org/W2940901905","https://openalex.org/W2952504976","https://openalex.org/W2981142240","https://openalex.org/W4288860281","https://openalex.org/W6677346259","https://openalex.org/W6677758222","https://openalex.org/W6678988221","https://openalex.org/W6683152347","https://openalex.org/W6765710127"],"related_works":["https://openalex.org/W2352794675","https://openalex.org/W1539994214","https://openalex.org/W2786391746","https://openalex.org/W2991483587","https://openalex.org/W4381430104","https://openalex.org/W2995102745","https://openalex.org/W4226059458","https://openalex.org/W2914559142","https://openalex.org/W1990237101","https://openalex.org/W3196471634"],"abstract_inverted_index":{"Excessive":[0],"time":[1],"complexity":[2],"has":[3],"severely":[4],"restricted":[5],"the":[6,43,50,54,63,75,90,94,101,108,130,174,183,198],"application":[7],"of":[8,66,77,147,188],"support":[9],"vector":[10],"machine":[11],"(SVM)":[12],"in":[13,118],"large-scale":[14],"multi-label":[15,23,55,67,78,86],"classification.":[16],"Thus,":[17],"this":[18,136],"paper":[19],"proposes":[20],"an":[21,84],"efficient":[22,85],"SVM":[24,87,91],"classification":[25,39,88,112,190,199],"algorithm":[26,40,191],"by":[27],"combining":[28],"approximate":[29,44],"extreme":[30,45],"points":[31,46],"method":[32,47,169],"and":[33,111,135,149,157,185],"divide-and-conquer":[34,96,124],"strategy":[35,97,125],"(AEDC-MLSVM).":[36],"The":[37,114,122,164],"AEDC-MLSVM":[38,189],"firstly":[41],"uses":[42],"to":[48,82,128,172],"obtain":[49],"representative":[51,70,102,131,141],"set":[52,71,132],"from":[53],"training":[56,68,79,109,184],"data":[57],"set.":[58,80],"While":[59],"persisting":[60],"almost":[61],"all":[62],"useful":[64],"information":[65],"set,":[69,103],"can":[72,137,192],"effectively":[73],"reduce":[74],"scale":[76],"Secondly,":[81],"acquire":[83],"model,":[89],"based":[92],"on":[93,100],"improved":[95,123],"is":[98,116,126,170],"trained":[99],"which":[104],"will":[105,153],"further":[106],"improve":[107],"speed":[110,187],"performance.":[113,200],"improvement":[115],"reflected":[117],"two":[119],"aspects.":[120],"(1)":[121],"applied":[127,171],"divide":[129],"into":[133],"subsets":[134],"ensure":[138],"that":[139,182],"each":[140],"subset":[142],"contains":[143],"a":[144],"certain":[145],"number":[146],"positive":[148],"negative":[150],"instances.":[151],"This":[152],"avoid":[154],"singular":[155],"problems":[156],"overcome":[158,173],"computation":[159],"load":[160],"imbalance":[161,176],"problem.":[162,177],"(2)":[163],"different":[165],"error":[166],"cost":[167],"(DEC)":[168],"label":[175],"Effective":[178],"experiments":[179],"have":[180],"proved":[181],"testing":[186],"be":[193],"accelerated":[194],"substantially":[195],"while":[196],"ensuring":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
