{"id":"https://openalex.org/W3144314767","doi":"https://doi.org/10.1109/tnnls.2021.3062062","title":"A Segment-Based Drift Adaptation Method for Data Streams","display_name":"A Segment-Based Drift Adaptation Method for Data Streams","publication_year":2021,"publication_date":"2021-04-09","ids":{"openalex":"https://openalex.org/W3144314767","doi":"https://doi.org/10.1109/tnnls.2021.3062062","mag":"3144314767","pmid":"https://pubmed.ncbi.nlm.nih.gov/33835922"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3062062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3062062","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5056243323","display_name":"Yiliao Song","orcid":"https://orcid.org/0000-0002-6633-2695"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Yiliao Song","raw_affiliation_strings":["Decision Systems and e-Service Intelligence Laboratory, Australian Artificial Intelligence Institute (AAII), Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Decision Systems and e-Service Intelligence Laboratory, Australian Artificial Intelligence Institute (AAII), Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675577","display_name":"Jie L\u00fc","orcid":"https://orcid.org/0000-0003-0690-4732"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jie Lu","raw_affiliation_strings":["Decision Systems and e-Service Intelligence Laboratory, Australian Artificial Intelligence Institute (AAII), Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Decision Systems and e-Service Intelligence Laboratory, Australian Artificial Intelligence Institute (AAII), Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106578879","display_name":"Anjin Liu","orcid":"https://orcid.org/0000-0002-0733-7138"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Anjin Liu","raw_affiliation_strings":["Decision Systems and e-Service Intelligence Laboratory, Australian Artificial Intelligence Institute (AAII), Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Decision Systems and e-Service Intelligence Laboratory, Australian Artificial Intelligence Institute (AAII), Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618432","display_name":"Haiyan Lu","orcid":"https://orcid.org/0000-0001-5655-0237"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Haiyan Lu","raw_affiliation_strings":["Decision Systems and e-Service Intelligence Laboratory, Australian Artificial Intelligence Institute (AAII), Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Decision Systems and e-Service Intelligence Laboratory, Australian Artificial Intelligence Institute (AAII), Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062192039","display_name":"Guangquan Zhang","orcid":"https://orcid.org/0000-0003-3960-0583"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Guangquan Zhang","raw_affiliation_strings":["Decision Systems and e-Service Intelligence Laboratory, Australian Artificial Intelligence Institute (AAII), Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Decision Systems and e-Service Intelligence Laboratory, Australian Artificial Intelligence Institute (AAII), Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5056243323"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":3.6398,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.93949484,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"33","issue":"9","first_page":"4876","last_page":"4889"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9872000217437744,"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":0.9807999730110168,"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/streams","display_name":"STREAMS","score":0.8524545431137085},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6732726097106934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5704752802848816},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.44150063395500183},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.38907676935195923},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35679876804351807},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12399253249168396},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.08856606483459473},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.0833497941493988}],"concepts":[{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.8524545431137085},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6732726097106934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5704752802848816},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.44150063395500183},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.38907676935195923},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35679876804351807},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12399253249168396},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.08856606483459473},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0833497941493988}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2021.3062062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3062062","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:33835922","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33835922","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7559557985","display_name":null,"funder_award_id":"DP190101733","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W334908881","https://openalex.org/W1577823635","https://openalex.org/W1904826605","https://openalex.org/W1965306119","https://openalex.org/W1982039810","https://openalex.org/W2000454347","https://openalex.org/W2016315690","https://openalex.org/W2037187889","https://openalex.org/W2049151032","https://openalex.org/W2073518255","https://openalex.org/W2093323445","https://openalex.org/W2099302642","https://openalex.org/W2099419573","https://openalex.org/W2123003172","https://openalex.org/W2134125037","https://openalex.org/W2160512933","https://openalex.org/W2212076521","https://openalex.org/W2221794486","https://openalex.org/W2266593536","https://openalex.org/W2310485631","https://openalex.org/W2345132057","https://openalex.org/W2434851943","https://openalex.org/W2470412537","https://openalex.org/W2500228126","https://openalex.org/W2509304078","https://openalex.org/W2511274580","https://openalex.org/W2528421823","https://openalex.org/W2552178666","https://openalex.org/W2558355913","https://openalex.org/W2585508806","https://openalex.org/W2585528949","https://openalex.org/W2591909298","https://openalex.org/W2602516395","https://openalex.org/W2604756720","https://openalex.org/W2613426128","https://openalex.org/W2626498001","https://openalex.org/W2734921177","https://openalex.org/W2739567232","https://openalex.org/W2740428142","https://openalex.org/W2742642850","https://openalex.org/W2767528836","https://openalex.org/W2791425844","https://openalex.org/W2808665150","https://openalex.org/W2898017895","https://openalex.org/W3003253354","https://openalex.org/W3009266144","https://openalex.org/W3102008626","https://openalex.org/W6607615792","https://openalex.org/W6680192438","https://openalex.org/W6684485356","https://openalex.org/W6689350091","https://openalex.org/W6730431379"],"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/W2060628068","https://openalex.org/W3112950814","https://openalex.org/W3208495060","https://openalex.org/W2161835057"],"abstract_inverted_index":{"In":[0],"concept":[1],"drift":[2,29,43,50,87,213],"adaptation,":[3],"we":[4,62],"aim":[5],"to":[6,14,33,41,70,93,156],"design":[7],"a":[8,64,85,103],"blind":[9,210],"or":[10],"an":[11,36],"informed":[12,28,212],"strategy":[13],"update":[15,46,95],"our":[16,96,169],"best":[17,97,170],"predictor":[18,48],"for":[19,35],"future":[20],"data":[21,40,200],"at":[22,133],"each":[23,134],"time":[24,135],"point.":[25,136],"However,":[26],"existing":[27],"adaptation":[30,55,60,88,214],"methods":[31],"need":[32],"wait":[34],"entire":[37],"batch":[38],"of":[39,74,115,140,150,159],"detect":[42],"and":[44,122,195,198,211],"then":[45],"the":[47,59,72,106,113,119,123,143,148,151,157,160,165,173,177],"(if":[49],"is":[51,91,100,131,154],"detected),":[52],"which":[53],"causes":[54],"delay.":[56],"To":[57],"overcome":[58],"delay,":[61],"propose":[63],"sequentially":[65],"updated":[66],"statistic,":[67],"called":[68],"drift-gradient":[69,141,179],"quantify":[71,112],"increase":[73,114],"distributional":[75,116],"discrepancy":[76,117],"when":[77,126,180],"every":[78,181],"new":[79,129,152,182],"instance":[80,130,153,183],"arrives.":[81,184],"Based":[82,163],"on":[83,102,142,164,192],"drift-gradient,":[84,166],"segment-based":[86],"(SEGA)":[89],"method":[90],"developed":[92],"online":[94],"predictor.":[98],"Drift-gradient":[99],"defined":[101],"segment":[104,121,125,145],"in":[105],"training":[107],"set.":[108],"It":[109],"can":[110],"precisely":[111],"between":[118],"old":[120,144,161],"newest":[124],"only":[127],"one":[128],"available":[132],"A":[137],"lower":[138],"value":[139],"represents":[146],"that":[147,175,206],"distribution":[149,158],"closer":[155],"segment.":[162],"SEGA":[167,185,207],"retrains":[168],"predictors":[171],"with":[172],"segments":[174],"have":[176],"minimum":[178],"has":[186],"been":[187],"validated":[188],"by":[189],"extensive":[190],"experiments":[191],"both":[193],"synthetic":[194],"real-world,":[196],"classification":[197],"regression":[199],"streams.":[201],"The":[202],"experimental":[203],"results":[204],"show":[205],"outperforms":[208],"competitive":[209],"methods.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
