{"id":"https://openalex.org/W2808027476","doi":"https://doi.org/10.1109/access.2018.2847037","title":"TUMK-ELM: A Fast Unsupervised Heterogeneous Data Learning Approach","display_name":"TUMK-ELM: A Fast Unsupervised Heterogeneous Data Learning Approach","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2808027476","doi":"https://doi.org/10.1109/access.2018.2847037","mag":"2808027476"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2847037","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2847037","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2847037","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069543374","display_name":"Lingyun Xiang","orcid":"https://orcid.org/0000-0001-7396-0908"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingyun Xiang","raw_affiliation_strings":["School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061475178","display_name":"Guohan Zhao","orcid":"https://orcid.org/0000-0003-1793-9519"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guohan Zhao","raw_affiliation_strings":["School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340627","display_name":"Qian Li","orcid":"https://orcid.org/0000-0002-8308-9551"},"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":"Qian Li","raw_affiliation_strings":["Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"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/A5043011100","display_name":"Wei Hao","orcid":"https://orcid.org/0000-0002-9301-8765"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Hao","raw_affiliation_strings":["School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-9301-8765","affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100376073","display_name":"Feng Li","orcid":"https://orcid.org/0000-0003-2718-9918"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Li","raw_affiliation_strings":["School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5069543374"],"corresponding_institution_ids":["https://openalex.org/I56934997"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":7.6216,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.97767967,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"6","issue":null,"first_page":"35305","last_page":"35315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","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/T12676","display_name":"Machine Learning and ELM","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9984999895095825,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9918000102043152,"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":0.8360283970832825},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.7060990333557129},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.6682885885238647},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.634428083896637},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5909242033958435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.58817458152771},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5347238183021545},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3231322765350342},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.26379233598709106}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8360283970832825},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.7060990333557129},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.6682885885238647},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.634428083896637},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5909242033958435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.58817458152771},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5347238183021545},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3231322765350342},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26379233598709106},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2018.2847037","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2847037","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b03dde02e29940979b5a6c67461201d0","is_oa":true,"landing_page_url":"https://doaj.org/article/b03dde02e29940979b5a6c67461201d0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 35305-35315 (2018)","raw_type":"article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/128693","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/128693","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":{"id":"doi:10.1109/access.2018.2847037","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2847037","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6627171594","display_name":null,"funder_award_id":"61202439","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W87822204","https://openalex.org/W303668437","https://openalex.org/W1536302525","https://openalex.org/W1670132599","https://openalex.org/W1740618102","https://openalex.org/W1915165978","https://openalex.org/W1986007546","https://openalex.org/W2035979693","https://openalex.org/W2039361386","https://openalex.org/W2040153696","https://openalex.org/W2067752346","https://openalex.org/W2099471712","https://openalex.org/W2107789863","https://openalex.org/W2109743529","https://openalex.org/W2113207826","https://openalex.org/W2120480077","https://openalex.org/W2132205911","https://openalex.org/W2150341604","https://openalex.org/W2158199200","https://openalex.org/W2163463863","https://openalex.org/W2163922914","https://openalex.org/W2168013545","https://openalex.org/W2173520492","https://openalex.org/W2221409856","https://openalex.org/W2234634182","https://openalex.org/W2462901929","https://openalex.org/W2527569769","https://openalex.org/W2533545350","https://openalex.org/W2575920881","https://openalex.org/W2607510315","https://openalex.org/W2739748921","https://openalex.org/W2753541526","https://openalex.org/W2783777501","https://openalex.org/W2919115771","https://openalex.org/W2951326654","https://openalex.org/W2964074409","https://openalex.org/W3099839986","https://openalex.org/W3100711350","https://openalex.org/W3104048630","https://openalex.org/W4205947740","https://openalex.org/W4320013936","https://openalex.org/W6610672689","https://openalex.org/W6637692013","https://openalex.org/W6640143274","https://openalex.org/W6676071220","https://openalex.org/W6684683940","https://openalex.org/W6685380521","https://openalex.org/W6727654133","https://openalex.org/W6728550200","https://openalex.org/W6731814672","https://openalex.org/W6741832134"],"related_works":["https://openalex.org/W2067443264","https://openalex.org/W2969890106","https://openalex.org/W3196155444","https://openalex.org/W4321844043","https://openalex.org/W3210156800","https://openalex.org/W4390062853","https://openalex.org/W4297883248","https://openalex.org/W4255830763","https://openalex.org/W1583266947","https://openalex.org/W4286799911"],"abstract_inverted_index":{"Advanced":[0],"unsupervised":[1,33,91,98,171],"learning":[2,34,76,94,102,174],"techniques":[3],"are":[4,49,72,77],"an":[5,66],"emerging":[6],"challenge":[7],"in":[8,59,187],"the":[9,15,60,114,141],"big":[10,61],"data":[11,62,71,93,116,159,173],"era":[12],"due":[13],"to":[14,38,177],"increasing":[16],"requirements":[17],"of":[18,25,32,47,69,143,189],"extracting":[19],"knowledge":[20],"from":[21,42,109],"a":[22,89,163,184],"large":[23,164],"amount":[24,68],"unlabeled":[26],"heterogeneous":[27,43,70,92,115,172],"data.":[28,44],"Recently,":[29],"many":[30],"efforts":[31],"have":[35],"been":[36],"done":[37],"effectively":[39],"capture":[40],"information":[41,108],"However,":[45],"most":[46],"them":[48],"with":[50,118,168],"huge":[51],"time":[52],"consumption,":[53],"which":[54,121],"obstructs":[55],"their":[56],"further":[57],"application":[58],"analytics":[63],"scenarios,":[64],"where":[65],"enormous":[67],"provided":[73],"but":[74],"real-time":[75],"strongly":[78],"demanded.":[79],"In":[80],"this":[81,85],"paper,":[82],"we":[83],"address":[84],"problem":[86],"by":[87,129],"proposing":[88],"fast":[90,125],"algorithm,":[95],"namely":[96],"two-stage":[97],"multiple":[99,110],"kernel":[100],"extreme":[101],"machine":[103],"(TUMK-ELM).":[104],"TUMK-ELM":[105,132,161],"alternatively":[106],"extracts":[107],"sources":[111],"and":[112,140],"learns":[113],"representation":[117],"closed-form":[119],"solutions,":[120],"enables":[122],"its":[123,144],"extremely":[124],"speed.":[126],"As":[127,153],"justified":[128],"theoretical":[130],"evidence,":[131],"has":[133],"low":[134],"computational":[135],"complexity":[136],"at":[137],"each":[138],"stage,":[139],"iteration":[142],"two":[145],"stages":[146],"can":[147],"be":[148],"converged":[149],"within":[150],"finite":[151],"steps.":[152],"experimentally":[154],"demonstrated":[155],"on":[156],"13":[157],"real-life":[158],"sets,":[160],"gains":[162],"efficiency":[165],"improvement":[166],"compared":[167],"three":[169],"state-of-the-art":[170],"methods":[175],"(up":[176],"140":[178],"000":[179],"times)":[180],"while":[181],"it":[182],"achieves":[183],"comparable":[185],"performance":[186],"terms":[188],"effectiveness.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
