{"id":"https://openalex.org/W4399386772","doi":"https://doi.org/10.1007/s40747-024-01498-w","title":"An oversampling algorithm of multi-label data based on cluster-specific samples and fuzzy rough set theory","display_name":"An oversampling algorithm of multi-label data based on cluster-specific samples and fuzzy rough set theory","publication_year":2024,"publication_date":"2024-06-06","ids":{"openalex":"https://openalex.org/W4399386772","doi":"https://doi.org/10.1007/s40747-024-01498-w"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01498-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01498-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01498-w.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 &amp; 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/s40747-024-01498-w.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035620896","display_name":"Jin\u2010Ming Liu","orcid":"https://orcid.org/0000-0001-6741-2366"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinming Liu","raw_affiliation_strings":["College of Computer Engineering, Jimei University, Yinjiang Rd, Xiamen, 361021, Fujian, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Engineering, Jimei University, Yinjiang Rd, Xiamen, 361021, Fujian, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016026541","display_name":"Kai Huang","orcid":"https://orcid.org/0000-0003-0416-4515"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Huang","raw_affiliation_strings":["College of Computer Engineering, Jimei University, Yinjiang Rd, Xiamen, 361021, Fujian, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Engineering, Jimei University, Yinjiang Rd, Xiamen, 361021, Fujian, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418571","display_name":"Chen Chen","orcid":"https://orcid.org/0000-0003-4114-9074"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Chen","raw_affiliation_strings":["College of Electronic and Information Engineering, Tongji University, Cao\u2019an Rd, Shanghai, 201804, China","College of Electronic and Information Engineering, Tongji University, Cao'an Rd, Shanghai, 201804, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Tongji University, Cao\u2019an Rd, Shanghai, 201804, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"College of Electronic and Information Engineering, Tongji University, Cao'an Rd, Shanghai, 201804, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007947038","display_name":"Jian Mao","orcid":"https://orcid.org/0000-0003-1345-7408"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Mao","raw_affiliation_strings":["College of Computer Engineering, Jimei University, Yinjiang Rd, Xiamen, 361021, Fujian, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Engineering, Jimei University, Yinjiang Rd, Xiamen, 361021, Fujian, China","institution_ids":["https://openalex.org/I161346416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035620896"],"corresponding_institution_ids":["https://openalex.org/I161346416"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":1.7905,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86715402,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":"5","first_page":"6267","last_page":"6282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9994000196456909,"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":0.9994000196456909,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.8356407880783081},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.7755715847015381},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.7071496248245239},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5921051502227783},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5206652879714966},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5086517930030823},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4895382821559906},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4673213064670563},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4563262462615967},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45435017347335815},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4515102505683899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4137551784515381},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40991151332855225}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.8356407880783081},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.7755715847015381},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.7071496248245239},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5921051502227783},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5206652879714966},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5086517930030823},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4895382821559906},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4673213064670563},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4563262462615967},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45435017347335815},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4515102505683899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4137551784515381},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40991151332855225},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01498-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01498-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01498-w.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 &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e651ee1a0295486f94e5a6d2ac6e946b","is_oa":true,"landing_page_url":"https://doaj.org/article/e651ee1a0295486f94e5a6d2ac6e946b","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 6267-6282 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01498-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01498-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01498-w.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 &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G2006245339","display_name":null,"funder_award_id":"3502Z202372018","funder_id":"https://openalex.org/F4320316884","funder_display_name":"Natural Science Foundation of Xiamen City"},{"id":"https://openalex.org/G7737862161","display_name":null,"funder_award_id":"2021J01858","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G8538931514","display_name":null,"funder_award_id":"2023J01132745","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G950178863","display_name":null,"funder_award_id":"JAT232012","funder_id":"https://openalex.org/F4320321893","funder_display_name":"Department of Education, Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320316884","display_name":"Natural Science Foundation of Xiamen City","ror":null},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320321893","display_name":"Department of Education, Fujian Province","ror":"https://ror.org/01d6wrk87"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399386772.pdf"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W105279807","https://openalex.org/W1045349118","https://openalex.org/W1600321904","https://openalex.org/W1999954155","https://openalex.org/W2027654459","https://openalex.org/W2052684427","https://openalex.org/W2090630554","https://openalex.org/W2097819183","https://openalex.org/W2133223948","https://openalex.org/W2138290126","https://openalex.org/W2146713522","https://openalex.org/W2200953330","https://openalex.org/W2219830225","https://openalex.org/W2754319208","https://openalex.org/W2766296277","https://openalex.org/W2767245172","https://openalex.org/W2777680782","https://openalex.org/W2778359823","https://openalex.org/W2800788706","https://openalex.org/W2943963440","https://openalex.org/W2987491803","https://openalex.org/W2992861029","https://openalex.org/W3003473637","https://openalex.org/W3028947187","https://openalex.org/W3036661175","https://openalex.org/W3095707208","https://openalex.org/W3130451294","https://openalex.org/W3193291778","https://openalex.org/W4206009515","https://openalex.org/W4211007335","https://openalex.org/W4212831606","https://openalex.org/W4220755141","https://openalex.org/W4225015043","https://openalex.org/W4255833381","https://openalex.org/W4307959803","https://openalex.org/W4310082948","https://openalex.org/W4311922055","https://openalex.org/W4312648418","https://openalex.org/W4383737760","https://openalex.org/W4385062016","https://openalex.org/W4387441891"],"related_works":["https://openalex.org/W2766503024","https://openalex.org/W2781247653","https://openalex.org/W4206637278","https://openalex.org/W4386005305","https://openalex.org/W3082051559","https://openalex.org/W4386214543","https://openalex.org/W2978519593","https://openalex.org/W2102746356","https://openalex.org/W4390066334","https://openalex.org/W2096751418"],"abstract_inverted_index":{"Abstract":[0],"Imbalanced":[1],"class":[2,31],"distributions":[3,21],"are":[4,86,110],"common":[5],"in":[6,145],"real-world":[7],"scenarios,":[8],"including":[9],"datasets":[10,134],"with":[11,94],"multiple":[12],"labels.":[13],"One":[14],"widely":[15],"acknowledged":[16],"approach":[17],"to":[18,51,91,124],"addressing":[19],"imbalanced":[20],"is":[22],"through":[23],"oversampling,":[24],"a":[25,95],"technique":[26],"that":[27],"both":[28],"balances":[29],"the":[30,35,52,98,103,126,139,142],"distribution":[32,101,104],"and":[33,61,76,83,102,149],"improves":[34],"effectiveness":[36,140],"of":[37,54,141,147],"classification":[38],"models.":[39],"However,":[40],"when":[41],"generating":[42],"synthetic":[43,69],"data":[44,70],"for":[45,68],"multi-label":[46,133],"datasets,":[47],"complexities":[48],"arise":[49],"due":[50],"presence":[53],"multiple-label":[55],"sets,":[56],"which":[57,122],"require":[58],"careful":[59],"placement":[60],"labeling.":[62],"We":[63],"propose":[64],"MLCSMOTE-FRST,":[65],"an":[66],"algorithm":[67],"generation":[71],"based":[72],"on":[73,97,132],"label-specific":[74],"clustering":[75],"fuzzy":[77,118],"rough":[78,119],"set":[79,120],"theory.":[80],"Generation":[81],"ratios":[82],"dependency":[84],"samples":[85],"provided":[87],"by":[88,112],"clusters":[89],"specific":[90],"each":[92,106],"label,":[93],"focus":[96],"overall":[99],"label":[100,128],"within":[105],"cluster.":[107],"The":[108],"labels":[109],"supported":[111],"intra-cluster":[113],"positive":[114],"samples,":[115],"determined":[116],"using":[117,135],"theory,":[121],"helps":[123],"capture":[125],"consensus":[127],"set.":[129],"Experimental":[130],"results":[131],"four":[136],"classifiers":[137],"demonstrate":[138],"proposed":[143],"method":[144],"terms":[146],"macro-F1":[148],"micro-F1":[150],"scores.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-17T17:19:04.345684","created_date":"2025-10-10T00:00:00"}
