{"id":"https://openalex.org/W4323055202","doi":"https://doi.org/10.1109/tkde.2023.3250472","title":"Online Learning From Incomplete and Imbalanced Data Streams","display_name":"Online Learning From Incomplete and Imbalanced Data Streams","publication_year":2023,"publication_date":"2023-03-03","ids":{"openalex":"https://openalex.org/W4323055202","doi":"https://doi.org/10.1109/tkde.2023.3250472"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2023.3250472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3250472","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/A5030021820","display_name":"Dianlong You","orcid":"https://orcid.org/0000-0002-3674-7822"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dianlong You","raw_affiliation_strings":["School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063065391","display_name":"Jiawei Xiao","orcid":"https://orcid.org/0009-0000-3685-7709"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Xiao","raw_affiliation_strings":["School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101964884","display_name":"Yang Wang","orcid":"https://orcid.org/0009-0004-4225-9464"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Wang","raw_affiliation_strings":["School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025568713","display_name":"Huigui Yan","orcid":"https://orcid.org/0009-0001-4271-7590"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huigui Yan","raw_affiliation_strings":["School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100602151","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-7788-9202"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100601939","display_name":"Zhen Chen","orcid":"https://orcid.org/0000-0003-4424-7315"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Chen","raw_affiliation_strings":["School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021030351","display_name":"Limin Shen","orcid":"https://orcid.org/0000-0002-9325-2279"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Limin Shen","raw_affiliation_strings":["School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080738591","display_name":"Xindong Wu","orcid":"https://orcid.org/0000-0003-2396-1704"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xindong Wu","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China), Hefei University of Technology, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China), Hefei University of Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5030021820"],"corresponding_institution_ids":["https://openalex.org/I39333907"],"apc_list":null,"apc_paid":null,"fwci":6.3249,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.97264701,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"35","issue":"10","first_page":"10650","last_page":"10665"},"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":0.9977999925613403,"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":0.9904000163078308,"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/notation","display_name":"Notation","score":0.7196186184883118},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6787209510803223},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.678108811378479},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5959998965263367},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.572723925113678},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5473950505256653},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5183756947517395},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.46932360529899597},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3536677658557892},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3477841019630432},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3397812247276306},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3290320038795471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3203643560409546},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3003867268562317},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08930850028991699}],"concepts":[{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.7196186184883118},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6787209510803223},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.678108811378479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5959998965263367},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.572723925113678},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5473950505256653},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5183756947517395},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.46932360529899597},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3536677658557892},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3477841019630432},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3397812247276306},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3290320038795471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3203643560409546},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3003867268562317},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08930850028991699},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2023.3250472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3250472","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1128271767","display_name":null,"funder_award_id":"62120106008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G132652093","display_name":null,"funder_award_id":"F2021203038","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G2333429615","display_name":null,"funder_award_id":"62176070","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3350442685","display_name":null,"funder_award_id":"F2022203012","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G5634768575","display_name":null,"funder_award_id":"62102348","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6733690755","display_name":null,"funder_award_id":"62276226","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/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W153185079","https://openalex.org/W2012878613","https://openalex.org/W2046862341","https://openalex.org/W2119393863","https://openalex.org/W2163667253","https://openalex.org/W2165837041","https://openalex.org/W2291836780","https://openalex.org/W2346780474","https://openalex.org/W2520599539","https://openalex.org/W2604756720","https://openalex.org/W2898017895","https://openalex.org/W2922054794","https://openalex.org/W2936503027","https://openalex.org/W2943045886","https://openalex.org/W2945677310","https://openalex.org/W2962853854","https://openalex.org/W2965718579","https://openalex.org/W2969401096","https://openalex.org/W2970773360","https://openalex.org/W2971504039","https://openalex.org/W2991238695","https://openalex.org/W2996923589","https://openalex.org/W2997569276","https://openalex.org/W2997867986","https://openalex.org/W3003253354","https://openalex.org/W3011631586","https://openalex.org/W3012867892","https://openalex.org/W3014846019","https://openalex.org/W3016344614","https://openalex.org/W3035102496","https://openalex.org/W3093978682","https://openalex.org/W3128296107","https://openalex.org/W3146478267","https://openalex.org/W3159243351","https://openalex.org/W4206711983","https://openalex.org/W4226228508","https://openalex.org/W4250589301","https://openalex.org/W4287512208","https://openalex.org/W4292022450","https://openalex.org/W6677803693","https://openalex.org/W6680192438","https://openalex.org/W6683897285","https://openalex.org/W6762899638","https://openalex.org/W6785369535","https://openalex.org/W6804766660","https://openalex.org/W6810745480"],"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":{"Learning":[0],"with":[1,30,154,201],"streaming":[2],"data":[3,20,39,183,199,218],"has":[4,97],"attracted":[5],"extensive":[6],"research":[7],"interest":[8],"in":[9,42,133,158,210],"recent":[10],"years.":[11],"Existing":[12],"online":[13,190,215],"learning":[14,216],"approaches":[15,59],"have":[16,47],"specific":[17],"assumptions":[18],"regarding":[19],"streams,":[21],"such":[22],"as":[23],"requiring":[24],"fixed":[25],"or":[26],"varying":[27],"feature":[28,50,118,175,179],"spaces":[29,51],"explicit":[31],"patterns":[32],"and":[33,52,81,120,181,217,221,234],"balanced":[34],"class":[35,55,131],"distributions.":[36],"While":[37],"the":[38,105,112,223],"streams":[40,200],"generated":[41],"many":[43],"real":[44,63,167],"scenarios":[45,172],"commonly":[46],"arbitrarily":[48],"incomplete":[49,117,174,198],"dynamic":[53,125],"imbalanced":[54,130],"distributions,":[56],"making":[57],"existing":[58],"be":[60],"unsuitable":[61],"for":[62],"applications.":[64],"To":[65,145],"address":[66],"this":[67,69],"issue,":[68],"paper":[70],"proposes":[71],"a":[72,98,124,140,188,247,255],"novel":[73],"<u>O</u>":[74],"nline":[75],"<u>L</u>":[76],"earning":[77],"from":[78],"<u>I</u>":[79,82],"ncomplete":[80],"mbalanced":[83],"<u>D</u>":[84],"ata":[85],"<u>S</u>":[86],"treams":[87],"(OLI":[88],"<inline-formula><tex-math":[89,94,148,227,243,270],"notation=\"LaTeX\">$^{2}$</tex-math></inline-formula>":[90,95,149,228,244,271],"DS)":[91],"algorithm.":[92],"OLI":[93,147,226,242,269],"DS":[96,229,245,272],"two-fold":[99],"main":[100],"idea:":[101],"1)":[102],"it":[103,122,153],"follows":[104],"empirical":[106],"risk":[107],"minimization":[108],"principle":[109],"to":[110,128,169,196,265],"identify":[111],"most":[113],"informative":[114],"features":[115],"of":[116,161,173,225],"spaces,":[119,176],"2)":[121],"develops":[123],"cost":[126],"strategy":[127],"handle":[129],"distributions":[132],"real-time":[134],"by":[135],"transforming":[136],"F-measure":[137],"optimization":[138],"into":[139],"weighted":[141],"surrogate":[142],"loss":[143],"minimization.":[144],"evaluate":[146],"DS,":[150],"we":[151,164,192,206],"compare":[152],"state-of-the-art":[155],"related":[156],"algorithms":[157],"three":[159,171],"kinds":[160],"experiments.":[162],"First,":[163],"adopt":[165],"14":[166],"datasets":[168,195],"simulate":[170,197],"i.e.,":[177,214],"trapezoidal,":[178],"evolvable,":[180],"capricious":[182],"streams.":[184],"Second,":[185],"based":[186],"on":[187,230,259,267],"benchmark":[189],"analyzer,":[191],"generate":[193],"13":[194],"different":[202],"imbalance":[203,236],"ratios.":[204,237],"Third,":[205],"analyze":[207],"concept":[208,232],"drift":[209],"two":[211],"simulated":[212],"scenes,":[213],"stream":[219],"mining,":[220],"verify":[222],"adaption":[224],"repeated":[231],"drifts":[233],"variable":[235],"The":[238],"results":[239],"demonstrate":[240],"that":[241],"achieves":[246],"significantly":[248],"better":[249],"performance":[250],"than":[251],"its":[252],"rivals.":[253],"Besides,":[254],"real-world":[256],"case":[257],"study":[258],"movie":[260],"review":[261],"classification":[262],"is":[263,276],"conducted":[264],"elaborate":[266],"our":[268],"algorithm's":[273],"effectiveness.":[274],"Code":[275],"released":[277],"at":[278],"<uri>https://github.com/youdianlong/OLI2DS</uri>":[279],".":[280]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-21T08:13:44.787528","created_date":"2025-10-10T00:00:00"}