{"id":"https://openalex.org/W4410358640","doi":"https://doi.org/10.1109/tbdata.2025.3570072","title":"Ensemble Approaches for Dynamic Data Stream Classification Under Label Scarcity","display_name":"Ensemble Approaches for Dynamic Data Stream Classification Under Label Scarcity","publication_year":2025,"publication_date":"2025-05-14","ids":{"openalex":"https://openalex.org/W4410358640","doi":"https://doi.org/10.1109/tbdata.2025.3570072"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2025.3570072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2025.3570072","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/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":true,"raw_author_name":"Zhiwen Yu","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":"middle","author":{"id":null,"display_name":"Siyong Huang","orcid":"https://orcid.org/0009-0005-0519-1082"},"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":"Siyong Huang","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":"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":"middle","author":{"id":"https://openalex.org/A5083333420","display_name":"Jianming Lv","orcid":"https://orcid.org/0000-0003-3691-4755"},"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":"Jianming Lv","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/A5074657598","display_name":"C. L. Philip Chen","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":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":5,"corresponding_author_ids":["https://openalex.org/A5100701158"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":7.0705,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.96398729,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"11","issue":"6","first_page":"3047","last_page":"3060"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9836000204086304,"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":0.9836000204086304,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9088000059127808,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8098486661911011},{"id":"https://openalex.org/keywords/scarcity","display_name":"Scarcity","score":0.43733298778533936},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4021313786506653},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3921217620372772},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3584962785243988}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8098486661911011},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.43733298778533936},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4021313786506653},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3921217620372772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3584962785243988},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2025.3570072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2025.3570072","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":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.550000011920929}],"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"},{"id":"https://openalex.org/G5482136634","display_name":null,"funder_award_id":"2024A04J3749","funder_id":"https://openalex.org/F4320335480","funder_display_name":"Guangzhou Municipal Science and Technology Project"},{"id":"https://openalex.org/G8344851981","display_name":null,"funder_award_id":"62476101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8822264251","display_name":null,"funder_award_id":"2024ZYGXZR062","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335480","display_name":"Guangzhou Municipal Science and Technology Project","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1562693942","https://openalex.org/W1823976324","https://openalex.org/W1969849879","https://openalex.org/W1982039810","https://openalex.org/W1990079212","https://openalex.org/W2000454347","https://openalex.org/W2009727399","https://openalex.org/W2010657328","https://openalex.org/W2021732807","https://openalex.org/W2028489411","https://openalex.org/W2045938006","https://openalex.org/W2066535939","https://openalex.org/W2082168306","https://openalex.org/W2084901303","https://openalex.org/W2099419573","https://openalex.org/W2107056945","https://openalex.org/W2143991132","https://openalex.org/W2170936641","https://openalex.org/W2252617635","https://openalex.org/W2289463038","https://openalex.org/W2491694318","https://openalex.org/W2585528949","https://openalex.org/W2602516395","https://openalex.org/W2626498001","https://openalex.org/W2726539084","https://openalex.org/W2738226240","https://openalex.org/W2740428142","https://openalex.org/W2810921114","https://openalex.org/W2890799778","https://openalex.org/W2905012420","https://openalex.org/W2945271821","https://openalex.org/W2951416632","https://openalex.org/W2970602317","https://openalex.org/W2997546679","https://openalex.org/W3013371665","https://openalex.org/W3159243351","https://openalex.org/W3170999895","https://openalex.org/W4205209078","https://openalex.org/W4207065329","https://openalex.org/W4220730340","https://openalex.org/W4226198717","https://openalex.org/W4295854766","https://openalex.org/W4296079469","https://openalex.org/W4387932894","https://openalex.org/W4388817142","https://openalex.org/W4396712810","https://openalex.org/W4402187028","https://openalex.org/W4403722234","https://openalex.org/W4405386671","https://openalex.org/W4408016664","https://openalex.org/W4408780047"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W1571141552","https://openalex.org/W4391636338","https://openalex.org/W4386067343","https://openalex.org/W4294250823","https://openalex.org/W2093086151","https://openalex.org/W55936454","https://openalex.org/W2095572632"],"abstract_inverted_index":{"As":[0],"data":[1,30,115,130],"continues":[2],"to":[3,93,96],"grow":[4],"exponentially,":[5],"the":[6,23,72,82],"importance":[7],"of":[8,121],"online":[9],"learning":[10,89],"across":[11],"various":[12],"domains":[13],"has":[14],"increased":[15],"significantly.":[16],"However,":[17],"most":[18],"existing":[19],"studies":[20],"assume":[21],"that":[22,37,117,135],"true":[24],"class":[25],"label":[26,105],"for":[27],"each":[28],"incoming":[29],"point":[31],"is":[32,38,91,110],"readily":[33],"available,":[34],"an":[35,63],"assumption":[36],"often":[39],"impractical.":[40],"To":[41],"address":[42],"this":[43,45],"issue,":[44],"paper":[46],"introduces":[47],"a":[48,68,86],"novel":[49],"algorithm":[50,70],"called":[51],"Density-based":[52],"Clustering":[53],"and":[54,104],"One-Class":[55,73],"Ensemble":[56],"Active":[57],"Learning":[58,75],"(DCOE-AL).":[59],"This":[60],"approach":[61],"constructs":[62],"ensemble":[64],"model":[65],"by":[66],"combining":[67],"clustering":[69],"with":[71,101],"Broad":[74],"System":[76],"(OCBLS),":[77],"which":[78],"represents":[79],"clusters":[80],"within":[81],"feature":[83],"space.":[84],"Furthermore,":[85],"new":[87],"active":[88],"mechanism":[90],"developed":[92],"enable":[94],"DCOE-AL":[95,136],"effectively":[97],"handle":[98],"challenges":[99],"associated":[100],"concept":[102,122],"drift":[103],"scarcity.":[106],"The":[107],"proposed":[108],"method":[109],"evaluated":[111],"on":[112,127],"multiple":[113],"synthetic":[114],"streams":[116],"exhibit":[118],"diverse":[119],"types":[120],"drift,":[123],"as":[124,126],"well":[125],"several":[128],"real-world":[129],"streams.":[131],"Comparative":[132],"evaluations":[133],"demonstrate":[134],"achieves":[137],"superior":[138],"performance":[139],"while":[140],"requiring":[141],"significantly":[142],"fewer":[143],"labeled":[144],"samples.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}