{"id":"https://openalex.org/W2402554508","doi":"https://doi.org/10.1155/2016/4218973","title":"Online Ensemble Using Adaptive Windowing for Data Streams with Concept Drift","display_name":"Online Ensemble Using Adaptive Windowing for Data Streams with Concept Drift","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2402554508","doi":"https://doi.org/10.1155/2016/4218973","mag":"2402554508"},"language":"en","primary_location":{"id":"doi:10.1155/2016/4218973","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/4218973","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1155/2016/4218973","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.sagepub.com/doi/pdf/10.1155/2016/4218973","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100376523","display_name":"Yange Sun","orcid":"https://orcid.org/0000-0003-3305-4622"},"institutions":[{"id":"https://openalex.org/I130750295","display_name":"Xinyang Normal University","ror":"https://ror.org/0190x2a66","country_code":"CN","type":"education","lineage":["https://openalex.org/I130750295"]},{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yange Sun","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China","School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China","institution_ids":["https://openalex.org/I130750295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100698059","display_name":"Zhihai Wang","orcid":"https://orcid.org/0000-0002-9971-9167"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhihai Wang","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087708777","display_name":"Haiyang Liu","orcid":"https://orcid.org/0000-0003-0397-5770"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyang Liu","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101995509","display_name":"Chao Du","orcid":"https://orcid.org/0009-0008-2893-5461"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Du","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050517295","display_name":"Jidong Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jidong Yuan","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100698059"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":{"value":2200,"currency":"USD","value_usd":2200},"apc_paid":{"value":2200,"currency":"USD","value_usd":2200},"fwci":3.38252255,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.96474388,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"12","issue":"5","first_page":"4218973","last_page":"4218973"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":1.0,"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":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9573000073432922,"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":0.9473000168800354,"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/concept-drift","display_name":"Concept drift","score":0.924322247505188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8953315019607544},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.645643949508667},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6407879590988159},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6363548636436462},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5270788073539734},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5257300138473511},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4922010004520416},{"id":"https://openalex.org/keywords/block-size","display_name":"Block size","score":0.4663739800453186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44330644607543945},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39984461665153503},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2306223213672638}],"concepts":[{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.924322247505188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8953315019607544},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.645643949508667},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6407879590988159},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6363548636436462},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5270788073539734},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5257300138473511},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4922010004520416},{"id":"https://openalex.org/C41431624","wikidata":"https://www.wikidata.org/wiki/Q1053357","display_name":"Block size","level":3,"score":0.4663739800453186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44330644607543945},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39984461665153503},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2306223213672638},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2016/4218973","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/4218973","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1155/2016/4218973","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:sae:intdis:v:12:y:2016:i:5:p:4218973","is_oa":false,"landing_page_url":"https://journals.sagepub.com/doi/10.1155/2016/4218973","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:312e55d16bcf4693b49bd413b0ec34e4","is_oa":true,"landing_page_url":"https://doaj.org/article/312e55d16bcf4693b49bd413b0ec34e4","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Distributed Sensor Networks, Vol 12 (2016)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2016/4218973","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/4218973","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1155/2016/4218973","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7375405795","display_name":null,"funder_award_id":"61572005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7424986287","display_name":null,"funder_award_id":"4142042","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7982537400","display_name":null,"funder_award_id":"61563001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8111255404","display_name":null,"funder_award_id":"61572417","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2402554508.pdf","grobid_xml":"https://content.openalex.org/works/W2402554508.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W139044672","https://openalex.org/W1585854823","https://openalex.org/W1830453967","https://openalex.org/W1904826605","https://openalex.org/W1965555277","https://openalex.org/W1990079212","https://openalex.org/W1992019053","https://openalex.org/W2000454347","https://openalex.org/W2004110412","https://openalex.org/W2009727399","https://openalex.org/W2011911693","https://openalex.org/W2022775778","https://openalex.org/W2068714596","https://openalex.org/W2082168306","https://openalex.org/W2084689094","https://openalex.org/W2099419573","https://openalex.org/W2115677675","https://openalex.org/W2134125037","https://openalex.org/W2135335717","https://openalex.org/W2143991132","https://openalex.org/W2147311421","https://openalex.org/W2160512933","https://openalex.org/W2166781513","https://openalex.org/W2171809276","https://openalex.org/W2580302247","https://openalex.org/W3120740533","https://openalex.org/W4237219250","https://openalex.org/W4255466416","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2802243998","https://openalex.org/W2469699777","https://openalex.org/W4200217704","https://openalex.org/W3201554469","https://openalex.org/W2368264659","https://openalex.org/W4307392573","https://openalex.org/W3112950814","https://openalex.org/W3208495060","https://openalex.org/W2060628068","https://openalex.org/W2161835057"],"abstract_inverted_index":{"Data":[0],"streams,":[1],"which":[2,37,96],"can":[3,49],"be":[4,50],"considered":[5],"as":[6,115],"one":[7,132],"of":[8,12,63,71,103],"the":[9,64,69,73,100,112,130,134],"primary":[10,61],"sources":[11],"what":[13],"is":[14,30,122,127],"called":[15],"big":[16],"data,":[17],"arrive":[18],"continuously":[19],"with":[20,33],"high":[21],"speed.":[22],"The":[23,43,60,109],"biggest":[24],"challenge":[25],"in":[26,68,133],"data":[27],"streams":[28],"mining":[29],"to":[31,76,83,98],"deal":[32],"concept":[34,47],"drifts,":[35],"during":[36],"ensemble":[38,94,152],"methods":[39],"are":[40],"widely":[41],"employed.":[42],"ensembles":[44,66],"for":[45],"handling":[46],"drift":[48],"categorized":[51],"into":[52],"two":[53],"different":[54],"approaches:":[55],"online":[56,93,107],"and":[57,106,142],"block-based":[58,65,104],"approaches.":[59,153],"disadvantage":[62],"lies":[67],"difficulty":[70],"tuning":[72],"block":[74],"size":[75],"provide":[77],"a":[78,116,120,124],"tradeoff":[79],"between":[80],"fast":[81],"reactions":[82],"drifts.":[84],"Motivated":[85],"by":[86],"this":[87],"challenge,":[88],"we":[89],"put":[90],"forward":[91],"an":[92],"paradigm,":[95],"aims":[97],"combine":[99],"best":[101],"elements":[102],"weighting":[105],"processing.":[108],"algorithm":[110],"uses":[111],"adaptive":[113],"windowing":[114],"change":[117,121],"detector.":[118],"Once":[119],"detected,":[123],"new":[125],"classifier":[126],"built":[128],"replacing":[129],"worst":[131],"ensemble.":[135],"By":[136],"experimental":[137],"evaluations":[138],"on":[139],"both":[140],"synthetic":[141],"real-world":[143],"datasets,":[144],"our":[145],"method":[146],"performs":[147],"significantly":[148],"better":[149],"than":[150],"other":[151]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
