{"id":"https://openalex.org/W3201452291","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533702","title":"Dynamically Selected Ensemble for Data Stream Classification","display_name":"Dynamically Selected Ensemble for Data Stream Classification","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3201452291","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533702","mag":"3201452291"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5020154195","display_name":"Lucca Portes Cavalheiro","orcid":null},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Lucca Portes Cavalheiro","raw_affiliation_strings":["Graduate Program in Informatics (PPGIa), Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Curitiba, Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Informatics (PPGIa), Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Curitiba, Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017591391","display_name":"Alceu de Souza Britto","orcid":"https://orcid.org/0000-0002-3064-3563"},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alceu De Souza Britto","raw_affiliation_strings":["Graduate Program in Informatics (PPGIa), Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Curitiba, Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Informatics (PPGIa), Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Curitiba, Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071288743","display_name":"Jean Paul Barddal","orcid":"https://orcid.org/0000-0001-9928-854X"},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jean Paul Barddal","raw_affiliation_strings":["Graduate Program in Informatics (PPGIa), Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Curitiba, Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Informatics (PPGIa), Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Curitiba, Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007251630","display_name":"Laurent Heutte","orcid":"https://orcid.org/0000-0003-4740-9770"},"institutions":[{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]},{"id":"https://openalex.org/I4210108118","display_name":"Laboratoire d'Informatique, du Traitement de l'Information et des Syst\u00e8mes","ror":"https://ror.org/01f1vfy95","country_code":"FR","type":"facility","lineage":["https://openalex.org/I141576021","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210108118","https://openalex.org/I62396329","https://openalex.org/I88814501"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Laurent Heutte","raw_affiliation_strings":["LITIS, Universit\u00e9 de Rouen Normandie, Rouen, France"],"affiliations":[{"raw_affiliation_string":"LITIS, Universit\u00e9 de Rouen Normandie, Rouen, France","institution_ids":["https://openalex.org/I62396329","https://openalex.org/I4210108118"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020154195"],"corresponding_institution_ids":["https://openalex.org/I176838256"],"apc_list":null,"apc_paid":null,"fwci":0.1398,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56263258,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9842000007629395,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.980400025844574,"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":0.8297543525695801},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.8078335523605347},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7418725490570068},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.7088114619255066},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5849238038063049},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.5625308752059937},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49458953738212585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4842347800731659},{"id":"https://openalex.org/keywords/batch-processing","display_name":"Batch processing","score":0.4709027111530304},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.46966707706451416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8297543525695801},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.8078335523605347},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7418725490570068},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.7088114619255066},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5849238038063049},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.5625308752059937},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49458953738212585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4842347800731659},{"id":"https://openalex.org/C172658912","wikidata":"https://www.wikidata.org/wiki/Q661613","display_name":"Batch processing","level":2,"score":0.4709027111530304},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.46966707706451416},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-05482588v1","is_oa":false,"landing_page_url":"https://normandie-univ.hal.science/hal-05482588","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN), Jul 2021, Shenzhen, China. pp.1-7, &#x27E8;10.1109/IJCNN52387.2021.9533702&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1529840045","https://openalex.org/W1534477342","https://openalex.org/W1585854823","https://openalex.org/W1988844742","https://openalex.org/W1990079212","https://openalex.org/W2016375676","https://openalex.org/W2068714596","https://openalex.org/W2077556203","https://openalex.org/W2098154993","https://openalex.org/W2100406636","https://openalex.org/W2103016999","https://openalex.org/W2113242816","https://openalex.org/W2134125037","https://openalex.org/W2143991132","https://openalex.org/W2145898068","https://openalex.org/W2145940431","https://openalex.org/W2147169507","https://openalex.org/W2165558283","https://openalex.org/W2517845378","https://openalex.org/W2578816095","https://openalex.org/W2585528949","https://openalex.org/W2602516395","https://openalex.org/W2626498001","https://openalex.org/W2755371172","https://openalex.org/W2761114781","https://openalex.org/W2791425844","https://openalex.org/W2911964244","https://openalex.org/W2963313239","https://openalex.org/W2977431930","https://openalex.org/W3013472303","https://openalex.org/W3072233194","https://openalex.org/W3087735403","https://openalex.org/W4244238212","https://openalex.org/W4301186107","https://openalex.org/W6632075054","https://openalex.org/W6681814599","https://openalex.org/W6718343364","https://openalex.org/W6989699103"],"related_works":["https://openalex.org/W4307392573","https://openalex.org/W2802243998","https://openalex.org/W2736127210","https://openalex.org/W2329342202","https://openalex.org/W2574092225","https://openalex.org/W4200217704","https://openalex.org/W2161835057","https://openalex.org/W1521014365","https://openalex.org/W3208495060","https://openalex.org/W2740428142"],"abstract_inverted_index":{"Mining":[0],"data":[1,64,79,95,115],"streams":[2,80,96],"is":[3,53,123],"a":[4,72],"hot":[5],"topic":[6],"in":[7,34,50,63,97,118,128],"the":[8,110],"machine":[9],"learning":[10,16],"(ML)":[11],"community.":[12],"In":[13,67],"addition":[14],"to":[15],"and":[17,41,100,133],"updating":[18],"accurate":[19],"models":[20],"over":[21],"time,":[22],"these":[23,59],"techniques":[24,49],"must":[25],"respect":[26],"constraints":[27],"that":[28,105],"are":[29,60],"not":[30,107],"necessarily":[31],"as":[32,38],"strong":[33],"batch":[35,51],"mode,":[36],"such":[37],"time":[39,132],"processing":[40,131],"memory":[42,134],"consumption":[43],"efficiency.":[44],"A":[45],"successful":[46],"family":[47],"of":[48,120,130],"ML":[52],"dynamic":[54,74],"classifier":[55,75],"selection":[56,76],"(DCS).":[57],"However,":[58],"roughly":[61],"overlooked":[62],"stream":[65,116],"mining.":[66],"this":[68],"paper,":[69],"we":[70],"propose":[71],"novel":[73],"framework":[77],"for":[78,93,114],"called":[81],"Double":[82],"Dynamic":[83],"Classifier":[84],"Selection":[85],"(DDCS).":[86],"We":[87],"compare":[88],"DDCS":[89,106],"against":[90],"state-of-art":[91,111],"methods":[92,113],"mining":[94],"both":[98],"synthetic":[99],"realworld":[101],"datasets.":[102],"Results":[103],"depict":[104],"only":[108],"outperforms":[109],"ensemble":[112],"classification":[117],"terms":[119,129],"accuracy":[121],"but":[122],"also":[124],"significantly":[125],"more":[126],"efficient":[127],"consumption.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
