{"id":"https://openalex.org/W4205209078","doi":"https://doi.org/10.1109/tkde.2021.3135755","title":"Classification in Dynamic Data Streams With a Scarcity of Labels","display_name":"Classification in Dynamic Data Streams With a Scarcity of Labels","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4205209078","doi":"https://doi.org/10.1109/tkde.2021.3135755"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2021.3135755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3135755","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":true,"oa_status":"green","oa_url":"https://hdl.handle.net/2086/21549","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080581679","display_name":"Conor Fahy","orcid":"https://orcid.org/0000-0002-9549-284X"},"institutions":[{"id":"https://openalex.org/I66943878","display_name":"De Montfort University","ror":"https://ror.org/0312pnr83","country_code":"GB","type":"education","lineage":["https://openalex.org/I66943878"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Conor Fahy","raw_affiliation_strings":["Institute of Artificial Intelligence (IAI), School of Computer Science and Informatics, De Montfort University, Leicester, U.K"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence (IAI), School of Computer Science and Informatics, De Montfort University, Leicester, U.K","institution_ids":["https://openalex.org/I66943878"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040583251","display_name":"Shengxiang Yang","orcid":"https://orcid.org/0000-0001-7222-4917"},"institutions":[{"id":"https://openalex.org/I66943878","display_name":"De Montfort University","ror":"https://ror.org/0312pnr83","country_code":"GB","type":"education","lineage":["https://openalex.org/I66943878"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shengxiang Yang","raw_affiliation_strings":["Institute of Artificial Intelligence (IAI), School of Computer Science and Informatics, De Montfort University, Leicester, U.K"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence (IAI), School of Computer Science and Informatics, De Montfort University, Leicester, U.K","institution_ids":["https://openalex.org/I66943878"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011417507","display_name":"Mario G\u00f3ngora","orcid":"https://orcid.org/0000-0002-7135-2092"},"institutions":[{"id":"https://openalex.org/I66943878","display_name":"De Montfort University","ror":"https://ror.org/0312pnr83","country_code":"GB","type":"education","lineage":["https://openalex.org/I66943878"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mario Gongora","raw_affiliation_strings":["Institute of Artificial Intelligence (IAI), School of Computer Science and Informatics, De Montfort University, Leicester, U.K"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence (IAI), School of Computer Science and Informatics, De Montfort University, Leicester, U.K","institution_ids":["https://openalex.org/I66943878"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080581679"],"corresponding_institution_ids":["https://openalex.org/I66943878"],"apc_list":null,"apc_paid":null,"fwci":1.1197,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.82834933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"35","issue":"4","first_page":"3512","last_page":"3524"},"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":0.9799000024795532,"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":0.9782000184059143,"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":0.8665411472320557},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.786307156085968},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7185176610946655},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.6689130067825317},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.6329512596130371},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6295168399810791},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5895892381668091},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5492111444473267},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4993705749511719},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4925104081630707},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.44075697660446167},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.42959529161453247},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4227818250656128},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4210605323314667},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.41768524050712585},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39563143253326416},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.14852896332740784},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.12179851531982422}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8665411472320557},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.786307156085968},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7185176610946655},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.6689130067825317},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.6329512596130371},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6295168399810791},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5895892381668091},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5492111444473267},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4993705749511719},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4925104081630707},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.44075697660446167},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.42959529161453247},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4227818250656128},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4210605323314667},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.41768524050712585},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39563143253326416},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.14852896332740784},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.12179851531982422},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2021.3135755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3135755","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:dora.dmu.ac.uk:2086/21549","is_oa":true,"landing_page_url":"https://hdl.handle.net/2086/21549","pdf_url":null,"source":{"id":"https://openalex.org/S4306400394","display_name":"DMU Open Research Archive (De Montfort University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66943878","host_organization_name":"De Montfort University","host_organization_lineage":["https://openalex.org/I66943878"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:dora.dmu.ac.uk:2086/21549","is_oa":true,"landing_page_url":"https://hdl.handle.net/2086/21549","pdf_url":null,"source":{"id":"https://openalex.org/S4306400394","display_name":"DMU Open Research Archive (De Montfort University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66943878","host_organization_name":"De Montfort University","host_organization_lineage":["https://openalex.org/I66943878"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G3043485912","display_name":"Evolutionary Computation for Dynamic Optimisation in Network Environments","funder_award_id":"EP/K001310/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5662168501","display_name":null,"funder_award_id":"EP/K001310/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W97587332","https://openalex.org/W182707955","https://openalex.org/W202016214","https://openalex.org/W1529840045","https://openalex.org/W1552074189","https://openalex.org/W1562693942","https://openalex.org/W1578580557","https://openalex.org/W1599935123","https://openalex.org/W1904826605","https://openalex.org/W1949687736","https://openalex.org/W1987799824","https://openalex.org/W1990079212","https://openalex.org/W1995042400","https://openalex.org/W1996773027","https://openalex.org/W2021739900","https://openalex.org/W2028489411","https://openalex.org/W2055902670","https://openalex.org/W2066535939","https://openalex.org/W2068714596","https://openalex.org/W2097091016","https://openalex.org/W2100294832","https://openalex.org/W2105497548","https://openalex.org/W2107056945","https://openalex.org/W2112482089","https://openalex.org/W2118020555","https://openalex.org/W2127047348","https://openalex.org/W2129395028","https://openalex.org/W2136041971","https://openalex.org/W2136246134","https://openalex.org/W2141245797","https://openalex.org/W2142841946","https://openalex.org/W2170936641","https://openalex.org/W2172080108","https://openalex.org/W2181943489","https://openalex.org/W2252617635","https://openalex.org/W2516866958","https://openalex.org/W2559950244","https://openalex.org/W2578816095","https://openalex.org/W2585508806","https://openalex.org/W2585528949","https://openalex.org/W2588336250","https://openalex.org/W2626498001","https://openalex.org/W2747307614","https://openalex.org/W2789731619","https://openalex.org/W2795483971","https://openalex.org/W2896080147","https://openalex.org/W2951416632","https://openalex.org/W2969822227","https://openalex.org/W2999200667","https://openalex.org/W3003253354","https://openalex.org/W3102035206","https://openalex.org/W4235130247","https://openalex.org/W4251663505","https://openalex.org/W4388297464","https://openalex.org/W6675613107","https://openalex.org/W6680192438"],"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/W4312214159","https://openalex.org/W2079625735"],"abstract_inverted_index":{"Ensemble":[0,71],"techniques":[1],"are":[2],"a":[3,76,109,149,170],"powerful":[4],"method":[5,96,135],"for":[6,89],"recognising":[7],"and":[8,68,80,103,117,145,148,166],"reacting":[9],"to":[10,106,125],"changes":[11,128],"in":[12,41,46,91,129],"non-stationary":[13],"data.":[14],"However,":[15],"most":[16,42],"researches":[17],"into":[18],"dynamic":[19,92],"classification":[20,90,176],"with":[21,86,108,119,127,173],"ensembles":[22,177],"assume":[23],"that":[24,179],"the":[25,98,130,194],"true":[26],"class":[27],"label":[28],"of":[29,83,151,193],"each":[30,52,159],"incoming":[31,160],"point":[32,53,161],"is":[33,39,54,136,162],"available":[34],"or":[35,164,184],"easily":[36],"obtained.":[37],"This":[38],"unrealistic":[40],"practical":[43],"applications,":[44],"especially":[45],"high-velocity":[47,152],"streams":[48,141,155],"where":[49,156],"manually":[50,157],"labeling":[51,158],"prohibitively":[55],"expensive.":[56],"To":[57],"address":[58],"this":[59,61],"challenge,":[60],"paper":[62],"proposes":[63],"an":[64,81],"algorithm,":[65],"named":[66],"Clustering":[67],"One-Class":[69],"Classification":[70],"Learning":[72],"(COCEL),":[73],"which":[74],"incorporates":[75],"stream":[77,175,195],"clustering":[78],"algorithm":[79],"ensemble":[82],"one-class":[84,104],"classifiers":[85,105],"active":[87],"learning,":[88],"data":[93,131,140,154],"streams.":[94],"The":[95,133],"exploits":[97],"intuitive":[99],"relationship":[100],"between":[101],"clusters":[102],"cope":[107,126],"small":[110],"training":[111,115],"set":[112],"(or":[113],"no":[114],"set)":[116],"improve":[118],"experience,":[120],"self-modifying":[121],"its":[122],"internal":[123],"state":[124],"stream.":[132],"proposed":[134],"evaluated":[137],"on":[138],"synthetic":[139],"exhibiting":[142],"concept":[143,146],"evolution":[144],"drift":[147],"collection":[150],"real":[153],"infeasible":[163],"expensive":[165],"labor":[167],"intensive.":[168],"Finally,":[169],"comparative":[171,185],"evaluation":[172],"peer":[174],"shows":[178],"COCEL":[180],"can":[181],"achieve":[182],"superior":[183],"accuracy":[186],"while":[187],"typically":[188],"requiring":[189],"less":[190],"than":[191],"0.01%":[192],"labels.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
