{"id":"https://openalex.org/W3011573100","doi":"https://doi.org/10.1109/tkde.2020.2979967","title":"An Online Robust Support Vector Regression for Data Streams","display_name":"An Online Robust Support Vector Regression for Data Streams","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3011573100","doi":"https://doi.org/10.1109/tkde.2020.2979967","mag":"3011573100"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2020.2979967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.2979967","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/A5062917240","display_name":"Hang Yu","orcid":"https://orcid.org/0000-0003-3444-9992"},"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":"Hang Yu","raw_affiliation_strings":["Decision Systems & e-Service Intelligence Lab, Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Decision Systems & e-Service Intelligence Lab, Centre for Artificial Intelligence, 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 & e-Service Intelligence Lab, Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Decision Systems & e-Service Intelligence Lab, Centre for Artificial Intelligence, 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 & e-Service Intelligence Lab, Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Decision Systems & e-Service Intelligence Lab, Centre for Artificial Intelligence, 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":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":4.1231,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.94847165,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T12676","display_name":"Machine Learning and ELM","score":0.9944000244140625,"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/T10057","display_name":"Face and Expression Recognition","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7619509696960449},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7158204913139343},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.6672097444534302},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6013221740722656},{"id":"https://openalex.org/keywords/quadratic-programming","display_name":"Quadratic programming","score":0.5092607736587524},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4974861443042755},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4837906062602997},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4619721472263336},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.45801061391830444},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4325319528579712},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4203195571899414},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37693238258361816},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3559185266494751},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3441603183746338},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32979971170425415},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1512044370174408}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7619509696960449},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7158204913139343},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.6672097444534302},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6013221740722656},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.5092607736587524},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4974861443042755},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4837906062602997},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4619721472263336},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.45801061391830444},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4325319528579712},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4203195571899414},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37693238258361816},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3559185266494751},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3441603183746338},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32979971170425415},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1512044370174408},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2020.2979967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.2979967","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:opus.lib.uts.edu.au:10453/144387","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/144387","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7559557985","display_name":"Drift learning for decision-making in dynamic multi-stream environments","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W753105317","https://openalex.org/W1871505182","https://openalex.org/W1964357740","https://openalex.org/W1964546829","https://openalex.org/W1970576786","https://openalex.org/W1973560868","https://openalex.org/W2029171653","https://openalex.org/W2036785686","https://openalex.org/W2038529478","https://openalex.org/W2039935421","https://openalex.org/W2042230250","https://openalex.org/W2045970963","https://openalex.org/W2046134594","https://openalex.org/W2066995518","https://openalex.org/W2070076962","https://openalex.org/W2073427650","https://openalex.org/W2079968572","https://openalex.org/W2098263691","https://openalex.org/W2108807072","https://openalex.org/W2115076892","https://openalex.org/W2119939946","https://openalex.org/W2123706197","https://openalex.org/W2139212933","https://openalex.org/W2139410361","https://openalex.org/W2143750468","https://openalex.org/W2150291692","https://openalex.org/W2153635508","https://openalex.org/W2172064003","https://openalex.org/W2270330859","https://openalex.org/W2327109287","https://openalex.org/W2342464723","https://openalex.org/W2468259461","https://openalex.org/W2511274580","https://openalex.org/W2574867284","https://openalex.org/W2602516395","https://openalex.org/W2729833276","https://openalex.org/W2740334263","https://openalex.org/W2765762244","https://openalex.org/W2767528836","https://openalex.org/W2768015769","https://openalex.org/W2809044420","https://openalex.org/W2894982503","https://openalex.org/W2898017895","https://openalex.org/W2986767631","https://openalex.org/W4250589301","https://openalex.org/W6631400791","https://openalex.org/W6676485797","https://openalex.org/W6719252775","https://openalex.org/W6742450674"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W2561617217","https://openalex.org/W2025378473","https://openalex.org/W2355801475","https://openalex.org/W4206659427","https://openalex.org/W2170062176","https://openalex.org/W2148135840","https://openalex.org/W106004901","https://openalex.org/W1995239016","https://openalex.org/W96694040"],"abstract_inverted_index":{"Since":[0],"support":[1,93],"vector":[2,94],"regression":[3,8,88,95,143],"(SVR)":[4],"is":[5,35,41],"a":[6,30,64,85,131],"flexible":[7],"algorithm,":[9,89],"its":[10,68],"computational":[11],"complexity":[12],"does":[13],"not":[14],"depend":[15],"on":[16],"the":[17,20,38,44,104,138,155],"dimensionality":[18],"of":[19,46,130,133],"input":[21],"space,":[22],"and":[23,73,152],"it":[24],"has":[25,60],"excellent":[26],"generalization":[27],"capability.":[28],"However,":[29],"central":[31],"assumption":[32],"with":[33,55,71,148],"SVRs":[34],"that":[36,137],"all":[37],"required":[39],"data":[40,56,146],"available":[42],"at":[43],"time":[45],"construction,":[47],"which":[48],"means":[49],"these":[50,80],"algorithms":[51],"cannot":[52],"be":[53],"used":[54],"streams.":[57],"Incremental":[58],"SVR":[59],"been":[61],"offered":[62],"as":[63],"potential":[65],"solution,":[66],"but":[67],"accuracy":[69],"suffers":[70],"noise":[72],"learning":[74,121,156],"speeds":[75,153],"are":[76,113],"slow.":[77],"To":[78],"overcome":[79],"two":[81,116],"limitations,":[82],"we":[83],"propose":[84],"novel":[86],"incremental":[87,120],"called":[90],"online":[91],"robust":[92],"(ORSVR).":[96],"ORSVR":[97,139],"solves":[98,124,142],"nonparallel":[99],"bound":[100],"functions":[101],"simultaneously.":[102],"Hence,":[103],"large":[105],"quadratic":[106],"programming":[107],"problem":[108],"(QPP)":[109],"in":[110,145],"classical":[111],"v-SVR":[112],"decomposed":[114],"into":[115],"smaller":[117],"QPPs.":[118],"An":[119],"algorithm":[122,140],"then":[123],"each":[125],"QPP":[126],"step-by-step.":[127],"The":[128],"results":[129],"series":[132],"comparative":[134],"experiments":[135],"demonstrate":[136],"efficiently":[141],"problems":[144],"streams,":[147],"or":[149],"without":[150],"noise,":[151],"up":[154],"process.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
