{"id":"https://openalex.org/W4412802644","doi":"https://doi.org/10.1109/tbdata.2025.3594239","title":"Hybrid Ensemble Framework for Imbalanced Data Streams With Concept Drift","display_name":"Hybrid Ensemble Framework for Imbalanced Data Streams With Concept Drift","publication_year":2025,"publication_date":"2025-07-31","ids":{"openalex":"https://openalex.org/W4412802644","doi":"https://doi.org/10.1109/tbdata.2025.3594239"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2025.3594239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2025.3594239","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Big Data","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/A5083665145","display_name":"Mianfen Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mianfen Lin","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701158","display_name":"Zhiwen Yu","orcid":"https://orcid.org/0000-0002-0935-5890"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Yu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050942308","display_name":"Kaixiang Yang","orcid":"https://orcid.org/0000-0003-2180-2101"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaixiang Yang","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643265","display_name":"C. L. Philip Chen","orcid":"https://orcid.org/0000-0001-5451-7230"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"C. L. Philip Chen","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083665145"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":2.3568,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.90261851,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"11","issue":"6","first_page":"3430","last_page":"3442"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","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/T12761","display_name":"Data Stream Mining Techniques","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/T12535","display_name":"Machine Learning and Data Classification","score":0.9251000285148621,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.925000011920929,"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/computer-science","display_name":"Computer science","score":0.8341163396835327},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.6553952693939209},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.6439168453216553},{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.4971795380115509},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4766843318939209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3480721116065979},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10753700137138367}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8341163396835327},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.6553952693939209},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.6439168453216553},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.4971795380115509},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4766843318939209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3480721116065979},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10753700137138367}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2025.3594239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2025.3594239","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1893049888","display_name":null,"funder_award_id":"U21A20478","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3386551668","display_name":null,"funder_award_id":"92467109","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":62,"referenced_works":["https://openalex.org/W38774257","https://openalex.org/W64908097","https://openalex.org/W341336861","https://openalex.org/W770907932","https://openalex.org/W1529840045","https://openalex.org/W1585854823","https://openalex.org/W1642701485","https://openalex.org/W1990079212","https://openalex.org/W2010657328","https://openalex.org/W2037242621","https://openalex.org/W2072159774","https://openalex.org/W2086075853","https://openalex.org/W2088220893","https://openalex.org/W2088654600","https://openalex.org/W2093919988","https://openalex.org/W2096529583","https://openalex.org/W2100406636","https://openalex.org/W2105531169","https://openalex.org/W2107327607","https://openalex.org/W2128362607","https://openalex.org/W2143991132","https://openalex.org/W2148143831","https://openalex.org/W2160512933","https://openalex.org/W2188660960","https://openalex.org/W2520599539","https://openalex.org/W2604756720","https://openalex.org/W2623257591","https://openalex.org/W2626498001","https://openalex.org/W2740428142","https://openalex.org/W2801183640","https://openalex.org/W2810921114","https://openalex.org/W2905310625","https://openalex.org/W2945271821","https://openalex.org/W2951416632","https://openalex.org/W2992362249","https://openalex.org/W3008292207","https://openalex.org/W3026175677","https://openalex.org/W3089117462","https://openalex.org/W3089725231","https://openalex.org/W3108206468","https://openalex.org/W3119983836","https://openalex.org/W3200267594","https://openalex.org/W4200217704","https://openalex.org/W4224267307","https://openalex.org/W4281668390","https://openalex.org/W4283316938","https://openalex.org/W4288075232","https://openalex.org/W4303449845","https://openalex.org/W4312515288","https://openalex.org/W4366238713","https://openalex.org/W4386076115","https://openalex.org/W4387092439","https://openalex.org/W4387545440","https://openalex.org/W4389584681","https://openalex.org/W4390483852","https://openalex.org/W4391329493","https://openalex.org/W4392405608","https://openalex.org/W4393317500","https://openalex.org/W4396712810","https://openalex.org/W4396773505","https://openalex.org/W4402187028","https://openalex.org/W4410358640"],"related_works":["https://openalex.org/W2802243998","https://openalex.org/W2469699777","https://openalex.org/W3112950814","https://openalex.org/W3201554469","https://openalex.org/W2368264659","https://openalex.org/W2060628068","https://openalex.org/W4200217704","https://openalex.org/W4307392573","https://openalex.org/W2161835057","https://openalex.org/W3208495060"],"abstract_inverted_index":{"In":[0,99,142],"the":[1,21,100,133,139,143,157,162,187],"field":[2],"of":[3,24,145],"online":[4,195],"learning,":[5],"handling":[6],"imbalanced":[7],"data":[8,80,112],"streams":[9,81],"with":[10,35,49,62,125,132],"concept":[11,25,36,50,64],"drift":[12,26,171],"has":[13],"become":[14],"a":[15,53,69,95,106,115,126,150],"substantial":[16],"challenge.":[17],"Research":[18],"interest":[19],"in":[20,60,161],"combined":[22],"challenges":[23],"and":[27,94,122,136,164,182],"class":[28,85,134],"imbalance":[29,135],"is":[30,57,172,190],"steadily":[31],"growing.":[32],"When":[33],"dealing":[34,61],"drift,":[37],"existing":[38],"methods":[39],"usually":[40],"adopt":[41],"active":[42,91,146],"detection":[43,92],"or":[44],"passive":[45,96,101],"adaptation":[46,55,97,102],"to":[47,77,110,130,138,174,192],"deal":[48,131],"drift.":[51,65],"However,":[52],"single":[54],"method":[56],"relatively":[58],"limited":[59],"joint":[63],"This":[66],"paper":[67],"introduces":[68],"novel":[70],"hybrid":[71,107],"ensemble":[72],"framework":[73,88],"(HEF-IDS)":[74],"specifically":[75],"designed":[76],"tackle":[78],"drifting":[79],"while":[82],"effectively":[83],"accommodating":[84],"imbalance.":[86],"The":[87],"integrates":[89],"an":[90],"module":[93],"module.":[98],"module,":[103],"we":[104,148],"use":[105],"sampling":[108],"strategy":[109],"balance":[111],"chunks,":[113],"construct":[114],"sub-ensemble":[116],"classifier":[117],"for":[118,168],"each":[119],"balanced":[120],"chunk,":[121],"combine":[123],"it":[124],"weighted":[127],"voting":[128],"scheme":[129],"adapt":[137],"latest":[140],"concept.":[141],"process":[144],"detection,":[147],"design":[149],"new":[151],"sample":[152],"selection":[153],"mechanism":[154],"that":[155,186],"stores":[156],"most":[158],"informative":[159],"samples":[160,167],"buffer,":[163],"uses":[165],"these":[166],"training":[169],"when":[170],"detected":[173],"prevent":[175],"catastrophic":[176],"forgetting.":[177],"Comparative":[178],"results":[179],"on":[180],"artificial":[181],"real-world":[183],"datasets":[184],"show":[185],"proposed":[188],"HEF-IDS":[189],"superior":[191],"other":[193],"advanced":[194],"classification":[196],"methods.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
