{"id":"https://openalex.org/W2520599539","doi":"https://doi.org/10.1109/tkde.2016.2609424","title":"Online Bagging and Boosting for Imbalanced Data Streams","display_name":"Online Bagging and Boosting for Imbalanced Data Streams","publication_year":2016,"publication_date":"2016-09-14","ids":{"openalex":"https://openalex.org/W2520599539","doi":"https://doi.org/10.1109/tkde.2016.2609424","mag":"2520599539"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2016.2609424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2609424","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"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 Knowledge and Data Engineering","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/A5100383954","display_name":"Boyu Wang","orcid":"https://orcid.org/0000-0002-6108-3589"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Boyu Wang","raw_affiliation_strings":["School of Computer Science, McConnell Engineering Bldg., 3480 University Street, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, McConnell Engineering Bldg., 3480 University Street, Montreal, QC, Canada","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080591144","display_name":"Jo\u00eblle Pineau","orcid":"https://orcid.org/0000-0003-0747-7250"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joelle Pineau","raw_affiliation_strings":["School of Computer Science, McConnell Engineering Bldg., 3480 University Street, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, McConnell Engineering Bldg., 3480 University Street, Montreal, QC, Canada","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100383954"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":15.9019,"has_fulltext":false,"cited_by_count":180,"citation_normalized_percentile":{"value":0.98998985,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"28","issue":"12","first_page":"3353","last_page":"3366"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9990000128746033,"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":0.9952999949455261,"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/boosting","display_name":"Boosting (machine learning)","score":0.9253605008125305},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8418118357658386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6947063207626343},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.688892662525177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5991791486740112},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5651604533195496},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4906286299228668},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.48141002655029297},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.42323198914527893},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4048166871070862}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.9253605008125305},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8418118357658386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6947063207626343},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.688892662525177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5991791486740112},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5651604533195496},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4906286299228668},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.48141002655029297},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.42323198914527893},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4048166871070862},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2016.2609424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2609424","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"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 Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.740.6686","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.740.6686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1310.8004.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2165548363","display_name":null,"funder_award_id":"Canada","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G4389354971","display_name":null,"funder_award_id":"Research","funder_id":"https://openalex.org/F4320334506","funder_display_name":"Canadian Institutes of Health Research"},{"id":"https://openalex.org/G4498798387","display_name":null,"funder_award_id":"Canadian Institutes for Health Research","funder_id":"https://openalex.org/F4320334506","funder_display_name":"Canadian Institutes of Health Research"},{"id":"https://openalex.org/G8284766523","display_name":null,"funder_award_id":"(NSERC)","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334506","display_name":"Canadian Institutes of Health Research","ror":"https://ror.org/01gavpb45"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W64908097","https://openalex.org/W142463596","https://openalex.org/W167016754","https://openalex.org/W1529840045","https://openalex.org/W1563938718","https://openalex.org/W1566689562","https://openalex.org/W1588626445","https://openalex.org/W1601795611","https://openalex.org/W1607624180","https://openalex.org/W1663973292","https://openalex.org/W1876956220","https://openalex.org/W1977245551","https://openalex.org/W1977640460","https://openalex.org/W1988790447","https://openalex.org/W2009727399","https://openalex.org/W2040010062","https://openalex.org/W2047439438","https://openalex.org/W2048791264","https://openalex.org/W2056277442","https://openalex.org/W2086075853","https://openalex.org/W2091082022","https://openalex.org/W2096529583","https://openalex.org/W2096945460","https://openalex.org/W2097523548","https://openalex.org/W2099454382","https://openalex.org/W2100527225","https://openalex.org/W2101156862","https://openalex.org/W2103614420","https://openalex.org/W2107742354","https://openalex.org/W2108807072","https://openalex.org/W2109283550","https://openalex.org/W2109964623","https://openalex.org/W2114453181","https://openalex.org/W2115629999","https://openalex.org/W2118978333","https://openalex.org/W2119157339","https://openalex.org/W2121038136","https://openalex.org/W2121085248","https://openalex.org/W2122591164","https://openalex.org/W2125573488","https://openalex.org/W2126996952","https://openalex.org/W2131459196","https://openalex.org/W2133632100","https://openalex.org/W2136256517","https://openalex.org/W2136903812","https://openalex.org/W2139327121","https://openalex.org/W2139432235","https://openalex.org/W2147834490","https://openalex.org/W2148143831","https://openalex.org/W2148825261","https://openalex.org/W2150621701","https://openalex.org/W2155398148","https://openalex.org/W2155714768","https://openalex.org/W2160512933","https://openalex.org/W2162152641","https://openalex.org/W2167917621","https://openalex.org/W2170413589","https://openalex.org/W2400267228","https://openalex.org/W2531566199","https://openalex.org/W2616657226","https://openalex.org/W2616891418","https://openalex.org/W2912934387","https://openalex.org/W3007818867","https://openalex.org/W4212883601","https://openalex.org/W4235130247","https://openalex.org/W6606837198","https://openalex.org/W6639055646","https://openalex.org/W6674809721","https://openalex.org/W6674878840","https://openalex.org/W6675953175","https://openalex.org/W6676029316","https://openalex.org/W6676485797","https://openalex.org/W6678100781","https://openalex.org/W6678748563","https://openalex.org/W6680202767","https://openalex.org/W6680579697","https://openalex.org/W6681723013","https://openalex.org/W6681955141","https://openalex.org/W6682590970","https://openalex.org/W6682675057"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W2905156999","https://openalex.org/W4229460275","https://openalex.org/W4296079469","https://openalex.org/W1987518466","https://openalex.org/W3135046080","https://openalex.org/W3023033471","https://openalex.org/W2014852328","https://openalex.org/W2809161969","https://openalex.org/W2129767422"],"abstract_inverted_index":{"While":[0],"both":[1,25],"cost-sensitive":[2,40,66,78,82],"learning":[3,6],"and":[4,58,80,85],"online":[5,39,55,77,81],"have":[7,14],"been":[8,16],"studied":[9],"separately,":[10],"these":[11,60],"two":[12],"issues":[13],"seldom":[15],"addressed":[17],"simultaneously.":[18],"Yet,":[19],"there":[20],"are":[21,27],"many":[22],"applications":[23],"where":[24],"aspects":[26],"important.":[28],"This":[29],"paper":[30],"investigates":[31],"a":[32],"class":[33],"of":[34,90,112],"algorithmic":[35],"approaches":[36],"suitable":[37],"for":[38,43,54,65],"learning,":[41],"designed":[42],"such":[44],"problems.":[45],"The":[46],"basic":[47],"idea":[48],"is":[49,94],"to":[50,108],"leverage":[51],"existing":[52],"methods":[53,64],"ensemble":[56],"algorithms,":[57,84],"combine":[59],"with":[61],"batch":[62],"mode":[63],"bagging/boosting":[67],"algorithms.":[68],"Within":[69],"this":[70],"framework,":[71],"we":[72],"describe":[73],"several":[74],"theoretically":[75],"sound":[76],"bagging":[79],"boosting":[83],"show":[86],"that":[87],"the":[88,91,110,113],"convergence":[89],"proposed":[92,115],"algorithms":[93],"guaranteed":[95],"under":[96],"certain":[97],"conditions.":[98],"We":[99],"then":[100],"present":[101],"extensive":[102],"experimental":[103],"results":[104],"on":[105],"benchmark":[106],"datasets":[107],"compare":[109],"performance":[111],"various":[114],"approaches.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":33},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
