{"id":"https://openalex.org/W2885382054","doi":"https://doi.org/10.1109/tsmc.2018.2858778","title":"Distributed Nonlinear Semiparametric Support Vector Machine for Big Data Applications on Spark Frameworks","display_name":"Distributed Nonlinear Semiparametric Support Vector Machine for Big Data Applications on Spark Frameworks","publication_year":2018,"publication_date":"2018-08-09","ids":{"openalex":"https://openalex.org/W2885382054","doi":"https://doi.org/10.1109/tsmc.2018.2858778","mag":"2885382054"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2018.2858778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2018.2858778","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: 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/A5053896876","display_name":"Roberto D\u00edaz-Morales","orcid":"https://orcid.org/0000-0002-6203-3655"},"institutions":[{"id":"https://openalex.org/I4210117643","display_name":"Treelogic (Spain)","ror":"https://ror.org/02p8pw781","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210117643"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Roberto Diaz-Morales","raw_affiliation_strings":["Department of Research and Development at Treelogic, Parque Tecnologico de Asturias, Llanera, Spain"],"raw_orcid":"https://orcid.org/0000-0002-6203-3655","affiliations":[{"raw_affiliation_string":"Department of Research and Development at Treelogic, Parque Tecnologico de Asturias, Llanera, Spain","institution_ids":["https://openalex.org/I4210117643"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026002355","display_name":"A. Navia-V\u00e1zquez","orcid":"https://orcid.org/0000-0002-6453-2378"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Angel Navia-Vazquez","raw_affiliation_strings":["Signal Theory and Communications, University Carlos III de Madrid, Legan\u00e9s, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Theory and Communications, University Carlos III de Madrid, Legan\u00e9s, Spain","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4914,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.72915463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"50","issue":"11","first_page":"4664","last_page":"4675"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9983999729156494,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9983999729156494,"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":0.9983000159263611,"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":0.998199999332428,"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/spark","display_name":"SPARK (programming language)","score":0.797966718673706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7874813079833984},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.7242481112480164},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7160557508468628},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6582008004188538},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5648913979530334},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4668614864349365},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4621489942073822},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.44640421867370605},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4350675940513611},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36612993478775024},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33138972520828247},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2973151206970215},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.13734784722328186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10126453638076782}],"concepts":[{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.797966718673706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7874813079833984},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.7242481112480164},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7160557508468628},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6582008004188538},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5648913979530334},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4668614864349365},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4621489942073822},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.44640421867370605},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4350675940513611},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36612993478775024},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33138972520828247},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2973151206970215},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13734784722328186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10126453638076782},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2018.2858778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2018.2858778","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G5546327680","display_name":"Scalable online machine learning for predictive analytics and real-time interactive visualization","funder_award_id":"687691","funder_id":"https://openalex.org/F4320338475","funder_display_name":"H2020 LEIT Information and Communication Technologies"}],"funders":[{"id":"https://openalex.org/F4320338475","display_name":"H2020 LEIT Information and Communication Technologies","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W410850256","https://openalex.org/W1560724230","https://openalex.org/W1598064945","https://openalex.org/W1604938182","https://openalex.org/W1977038502","https://openalex.org/W1977163372","https://openalex.org/W1982861695","https://openalex.org/W1996730219","https://openalex.org/W2019055402","https://openalex.org/W2043060682","https://openalex.org/W2050424193","https://openalex.org/W2051886754","https://openalex.org/W2086742208","https://openalex.org/W2089855386","https://openalex.org/W2095895508","https://openalex.org/W2096544401","https://openalex.org/W2099262739","https://openalex.org/W2104867159","https://openalex.org/W2108399535","https://openalex.org/W2118009585","https://openalex.org/W2119821739","https://openalex.org/W2125789198","https://openalex.org/W2131975293","https://openalex.org/W2133396101","https://openalex.org/W2139224857","https://openalex.org/W2141642784","https://openalex.org/W2141915722","https://openalex.org/W2142623206","https://openalex.org/W2150593711","https://openalex.org/W2151911322","https://openalex.org/W2156909104","https://openalex.org/W2159128662","https://openalex.org/W2163608767","https://openalex.org/W2189465200","https://openalex.org/W2253843133","https://openalex.org/W2277129084","https://openalex.org/W2548608220","https://openalex.org/W2593507041","https://openalex.org/W2963288913","https://openalex.org/W2995564009","https://openalex.org/W4239510810","https://openalex.org/W6614148910","https://openalex.org/W6637055845","https://openalex.org/W6674478206","https://openalex.org/W6675791501","https://openalex.org/W6679815717","https://openalex.org/W6680614108","https://openalex.org/W6687322159"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4405901645","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W2766461310","https://openalex.org/W4247566972","https://openalex.org/W3202731209","https://openalex.org/W3211874991"],"abstract_inverted_index":{"In":[0,62],"recent":[1],"years":[2],"there":[3],"has":[4,19],"been":[5],"a":[6,67,74,102],"noticeable":[7],"increase":[8],"in":[9,36,125,171],"the":[10,21,56,95,98,108,114,117,122,152,160,163,189],"number":[11,190],"of":[12,23,31,58,73,97,107,116,162,173,191],"available":[13],"Big":[14],"Data":[15],"infrastructures.":[16],"This":[17,89],"fact":[18],"promoted":[20],"adaptation":[22],"traditional":[24],"machine":[25],"learning":[26],"techniques":[27],"to":[28,51,93,112],"be":[29],"capable":[30],"addressing":[32],"large":[33,181],"scale":[34],"problems":[35,49],"distributed":[37,71,83,104],"environments.":[38],"Kernel":[39],"methods":[40],"like":[41],"support":[42],"vector":[43],"machines":[44],"(SVMs)":[45],"suffer":[46],"from":[47],"scalability":[48],"due":[50],"their":[52,59],"nonparametric":[53],"nature":[54],"and":[55,69,101,128,166,176],"complexity":[57],"training":[60,75,192],"procedures.":[61],"this":[63],"paper,":[64],"we":[65,129],"propose":[66],"new":[68,103],"efficient":[70],"implementation":[72,106],"procedure":[76,111],"for":[77],"nonlinear":[78],"semiparametric":[79,99],"(budgeted)":[80],"SVMs":[81],"called":[82],"iterative":[84],"reweighted":[85],"least":[86],"squares":[87],"(IRWLS).":[88],"algorithm":[90,124,154],"uses":[91],"k-means":[92],"select":[94],"centroids":[96],"model":[100],"algorithmic":[105],"IRWLS":[109],"optimization":[110],"find":[113],"weights":[115],"model.":[118],"We":[119],"have":[120,130],"implemented":[121],"proposed":[123,153],"Apache":[126],"Spark":[127],"benchmarked":[131],"it":[132],"against":[133],"other":[134],"state-of-the-art":[135],"methods,":[136],"either":[137],"full":[138],"SVM":[139],"(p-pack":[140],"SVM)":[141],"or":[142],"budgeted":[143],"(budgeted":[144],"stochastic":[145],"gradient":[146],"descent).":[147],"Experimental":[148],"results":[149],"show":[150],"that":[151],"achieves":[155],"higher":[156],"accuracy":[157],"while":[158],"controlling":[159],"size":[161],"final":[164],"model,":[165],"also":[167],"offers":[168],"high":[169],"performance":[170],"terms":[172],"run":[174],"time":[175,185],"efficiency,":[177],"when":[178],"processing":[179],"very":[180],"datasets":[182],"(the":[183],"computation":[184],"grows":[186],"linear":[187],"with":[188],"patterns).":[193]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
