{"id":"https://openalex.org/W2574867284","doi":"https://doi.org/10.1109/tfuzz.2017.2654504","title":"Online Active Learning in Data Stream Regression Using Uncertainty Sampling Based on Evolving Generalized Fuzzy Models","display_name":"Online Active Learning in Data Stream Regression Using Uncertainty Sampling Based on Evolving Generalized Fuzzy Models","publication_year":2017,"publication_date":"2017-01-17","ids":{"openalex":"https://openalex.org/W2574867284","doi":"https://doi.org/10.1109/tfuzz.2017.2654504","mag":"2574867284"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2017.2654504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2017.2654504","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy Systems","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/A5010578654","display_name":"Edwin Lughofer","orcid":"https://orcid.org/0000-0003-1560-5136"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Edwin Lughofer","raw_affiliation_strings":["Department of Knowledge-Based Mathematical Systems, Johannes Kepler University, Linz, Austria"],"raw_orcid":"https://orcid.org/0000-0003-1560-5136","affiliations":[{"raw_affiliation_string":"Department of Knowledge-Based Mathematical Systems, Johannes Kepler University, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036928886","display_name":"Mahardhika Pratama","orcid":"https://orcid.org/0000-0001-6531-5087"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mahardhika Pratama","raw_affiliation_strings":["School of Engineering and Mathematical Sciences, La Trobe University, Melbourne, Vic., Australia"],"raw_orcid":"https://orcid.org/0000-0001-6531-5087","affiliations":[{"raw_affiliation_string":"School of Engineering and Mathematical Sciences, La Trobe University, Melbourne, Vic., Australia","institution_ids":["https://openalex.org/I196829312"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.3678,"has_fulltext":false,"cited_by_count":102,"citation_normalized_percentile":{"value":0.98505719,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"26","issue":"1","first_page":"292","last_page":"309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5952267050743103},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5874649882316589},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.47693127393722534},{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.46014416217803955},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.45311439037323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4363316297531128},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.43632814288139343},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4321305751800537},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4210919141769409},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4060939848423004},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3856566250324249},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17911145091056824}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5952267050743103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5874649882316589},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.47693127393722534},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.46014416217803955},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.45311439037323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4363316297531128},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.43632814288139343},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4321305751800537},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4210919141769409},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4060939848423004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3856566250324249},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17911145091056824},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2017.2654504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2017.2654504","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":105,"referenced_works":["https://openalex.org/W28972411","https://openalex.org/W43637044","https://openalex.org/W178056938","https://openalex.org/W301800434","https://openalex.org/W322952782","https://openalex.org/W626833182","https://openalex.org/W648613739","https://openalex.org/W1542883383","https://openalex.org/W1554944419","https://openalex.org/W1568139284","https://openalex.org/W1604156518","https://openalex.org/W1921662942","https://openalex.org/W1965324089","https://openalex.org/W1966526758","https://openalex.org/W1972084022","https://openalex.org/W1978598092","https://openalex.org/W1987927386","https://openalex.org/W1999649259","https://openalex.org/W1999727996","https://openalex.org/W1999860347","https://openalex.org/W2003516238","https://openalex.org/W2009345066","https://openalex.org/W2013845289","https://openalex.org/W2015630349","https://openalex.org/W2016319797","https://openalex.org/W2017369124","https://openalex.org/W2026386069","https://openalex.org/W2028549589","https://openalex.org/W2029174532","https://openalex.org/W2030950474","https://openalex.org/W2036407535","https://openalex.org/W2038420319","https://openalex.org/W2040263621","https://openalex.org/W2044239833","https://openalex.org/W2045544997","https://openalex.org/W2049628044","https://openalex.org/W2052201135","https://openalex.org/W2052345845","https://openalex.org/W2054607175","https://openalex.org/W2056901498","https://openalex.org/W2057974719","https://openalex.org/W2058063871","https://openalex.org/W2059207720","https://openalex.org/W2060277733","https://openalex.org/W2073102330","https://openalex.org/W2073703998","https://openalex.org/W2076101196","https://openalex.org/W2076665520","https://openalex.org/W2079325629","https://openalex.org/W2091136951","https://openalex.org/W2091370820","https://openalex.org/W2093584883","https://openalex.org/W2093768254","https://openalex.org/W2098263691","https://openalex.org/W2100157781","https://openalex.org/W2102614781","https://openalex.org/W2108740451","https://openalex.org/W2116119284","https://openalex.org/W2118211060","https://openalex.org/W2128718601","https://openalex.org/W2135106139","https://openalex.org/W2135335717","https://openalex.org/W2143386621","https://openalex.org/W2149846618","https://openalex.org/W2151863350","https://openalex.org/W2152161790","https://openalex.org/W2153196467","https://openalex.org/W2154339456","https://openalex.org/W2154504007","https://openalex.org/W2158054309","https://openalex.org/W2162635690","https://openalex.org/W2165781007","https://openalex.org/W2166777045","https://openalex.org/W2167828456","https://openalex.org/W2172425529","https://openalex.org/W2181744257","https://openalex.org/W2278864798","https://openalex.org/W2431330580","https://openalex.org/W2432138738","https://openalex.org/W2469497343","https://openalex.org/W2480422823","https://openalex.org/W2500228126","https://openalex.org/W2544863478","https://openalex.org/W2569164271","https://openalex.org/W2570764145","https://openalex.org/W2777507371","https://openalex.org/W2903158431","https://openalex.org/W2913399920","https://openalex.org/W2949071206","https://openalex.org/W3003253354","https://openalex.org/W3081877640","https://openalex.org/W3110683067","https://openalex.org/W3152500676","https://openalex.org/W4230030242","https://openalex.org/W4234672050","https://openalex.org/W4244017338","https://openalex.org/W4245439180","https://openalex.org/W4246685972","https://openalex.org/W4250364582","https://openalex.org/W4250859275","https://openalex.org/W6680192438","https://openalex.org/W6680272842","https://openalex.org/W6684348943","https://openalex.org/W6756615331","https://openalex.org/W6786768871"],"related_works":["https://openalex.org/W1968270095","https://openalex.org/W2220129715","https://openalex.org/W4296478327","https://openalex.org/W2042397106","https://openalex.org/W4361730764","https://openalex.org/W1965029248","https://openalex.org/W2333625343","https://openalex.org/W1960072520","https://openalex.org/W2023776155","https://openalex.org/W4381571012"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,160],"propose":[4,172],"three":[5,110,244],"criteria":[6,107,204],"for":[7,174,335],"efficient":[8],"sample":[9,318],"selection":[10,25,106,203,319],"in":[11,54,100,126,141,148,184,207,218,227,316],"case":[12,55,271],"of":[13,36,83,128,150,165,177,292,304],"data":[14],"stream":[15,66],"regression":[16],"problems":[17,248],"within":[18],"an":[19,166,323],"online":[20,175],"active":[21,294],"learning":[22,295],"context.":[23],"The":[24,202,240],"becomes":[26],"important":[27],"whenever":[28],"the":[29,34,37,42,71,80,84,113,118,139,182,191,198,270,290,293,301,314],"target":[30],"values,":[31],"which":[32,123,144,187,195],"guide":[33],"update":[35,253,277],"regressors":[38],"as":[39,41,74,76,222,331],"well":[40,332],"implicit":[43],"model":[44,142,185,252,265,276,327,336],"structures,":[45],"are":[46,61,205],"costly":[47],"or":[48],"time-consuming":[49],"to":[50,63,269,322],"measure":[51],"and":[52,102,171,329],"also":[53],"when":[56,272],"very":[57],"fast":[58],"models":[59,85,215,236],"updates":[60],"required":[62],"cope":[64],"with":[65,117,209,285,300],"mining":[67],"real-time":[68],"demands.":[69],"Reducing":[70],"selected":[72,258],"samples":[73,259,305],"much":[75,309],"possible":[77],"while":[78],"keeping":[79],"predictive":[81],"accuracy":[82,328],"on":[86,109,197,243,255,278,289],"a":[87,92,129,162,251,274,286],"high":[88],"level":[89,169],"is,":[90],"thus,":[91],"central":[93],"challenge.":[94],"This":[95,281],"should":[96],"be":[97,146,225,283],"ideally":[98],"achieved":[99,284,308],"unsupervised":[101],"single-pass":[103],"manner.":[104],"Our":[105],"rely":[108],"aspects:":[111],"1)":[112],"extrapolation":[114],"degree":[115,121],"combined":[116],"model's":[119],"nonlinearity":[120],",":[122],"is":[124,188],"measured":[125,147],"terms":[127,149],"new":[130],"specific":[131],"homogeneity":[132],"criterion":[133],"among":[134],"adjacent":[135],"local":[136,156,178],"approximators;":[137],"2)":[138],"uncertainty":[140,183],"outputs,":[143],"can":[145,260,282],"confidence":[151],"intervals":[152],"using":[153],"so-called":[154,192],"adaptive":[155],"error":[157,179,311],"bars":[158],"-":[159],"integrate":[161],"weighted":[163],"localization":[164],"incremental":[167],"noise":[168],"estimator":[170],"formulas":[173],"merging":[176],"bars;":[180],"3)":[181],"parameters,":[186],"estimated":[189],"by":[190],"A-optimality":[193],"criterion,":[194],"relies":[196],"Fisher":[199],"information":[200],"matrix.":[201],"developed":[206],"combination":[208],"evolving":[210,234],"generalized":[211],"Takagi-Sugeno":[212],"(TS)":[213],"fuzzy":[214],"(containing":[216,237],"rules":[217],"arbitrarily":[219],"rotated":[220],"position),":[221],"it":[223],"could":[224],"shown":[226],"previous":[228],"publications":[229],"that":[230,250],"these":[231],"outperform":[232],"conventional":[233],"TS":[235],"axis-parallel":[238],"rules).":[239],"results":[241],"based":[242,254],"high-dimensional":[245],"real-world":[246],"streaming":[247],"show":[249],"only":[256],"10%-20%":[257],"still":[261],"achieve":[262],"similar":[263],"accumulated":[264],"errors":[266],"over":[267],"time":[268],"performing":[273],"full":[275],"all":[279],"samples.":[280],"negligible":[287],"sensitivity":[288],"size":[291],"latency":[296],"buffer.":[297],"Random":[298],"sampling":[299],"same":[302],"percentages":[303],"selected,":[306],"however,":[307],"higher":[310],"rates.":[312],"Hence,":[313],"intelligence":[315],"our":[317],"concept":[320],"leads":[321],"economic":[324],"balance":[325],"between":[326],"measurement":[330],"computational":[333],"costs":[334],"updates.":[337]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
