{"id":"https://openalex.org/W3193978175","doi":"https://doi.org/10.1109/tsmc.2021.3096065","title":"A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature Selection","display_name":"A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature Selection","publication_year":2021,"publication_date":"2021-08-04","ids":{"openalex":"https://openalex.org/W3193978175","doi":"https://doi.org/10.1109/tsmc.2021.3096065","mag":"3193978175"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2021.3096065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2021.3096065","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/A5100602151","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-7788-9202"},"institutions":[{"id":"https://openalex.org/I4210123021","display_name":"Chongqing Institute of Green and Intelligent Technology","ror":"https://ror.org/031npqv35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210123021"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Di Wu","raw_affiliation_strings":["Chongqing Engineering Research Center of Big Data Application for Smart Cities, Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Engineering Research Center of Big Data Application for Smart Cities, Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I4210123021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100702364","display_name":"Yi He","orcid":"https://orcid.org/0000-0002-5357-6623"},"institutions":[{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi He","raw_affiliation_strings":["Department of Computer Science, Old Dominion University, Norfolk, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Old Dominion University, Norfolk, VA, USA","institution_ids":["https://openalex.org/I81365321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088955392","display_name":"Xin Luo","orcid":"https://orcid.org/0000-0002-1348-5305"},"institutions":[{"id":"https://openalex.org/I4210123021","display_name":"Chongqing Institute of Green and Intelligent Technology","ror":"https://ror.org/031npqv35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210123021"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Luo","raw_affiliation_strings":["Chongqing Engineering Research Center of Big Data Application for Smart Cities, Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","Department of Big Data Analyses Techniques, Hengrui (Chongqing) Artificial Intelligence Research Center, Cloudwalk, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Engineering Research Center of Big Data Application for Smart Cities, Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I4210123021"]},{"raw_affiliation_string":"Department of Big Data Analyses Techniques, Hengrui (Chongqing) Artificial Intelligence Research Center, Cloudwalk, Chongqing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081318069","display_name":"MengChu Zhou","orcid":"https://orcid.org/0000-0002-5408-8752"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]},{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["MO","US"],"is_corresponding":false,"raw_author_name":"MengChu Zhou","raw_affiliation_strings":["Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA","Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems, Macau University of Science and Technology, Macau, China"],"affiliations":[{"raw_affiliation_string":"Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":"Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems, Macau University of Science and Technology, Macau, China","institution_ids":["https://openalex.org/I111950717"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100602151"],"corresponding_institution_ids":["https://openalex.org/I4210123021"],"apc_list":null,"apc_paid":null,"fwci":34.1396,"has_fulltext":false,"cited_by_count":153,"citation_normalized_percentile":{"value":0.99796856,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"52","issue":"11","first_page":"6744","last_page":"6758"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9896000027656555,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9876000285148621,"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/feature-selection","display_name":"Feature selection","score":0.7567366361618042},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7553394436836243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7090519666671753},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6409525871276855},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.560200035572052},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5550817251205444},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.511539101600647},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.437100887298584},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4189659655094147},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.41310322284698486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4046335816383362},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4024854898452759}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7567366361618042},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7553394436836243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7090519666671753},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6409525871276855},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.560200035572052},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5550817251205444},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.511539101600647},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.437100887298584},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4189659655094147},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.41310322284698486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4046335816383362},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4024854898452759},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2021.3096065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2021.3096065","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":[],"awards":[{"id":"https://openalex.org/G2647679713","display_name":null,"funder_award_id":"62002337","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G488829769","display_name":null,"funder_award_id":"cstc2019jcyjmsxmX0578","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G7141752101","display_name":null,"funder_award_id":"cstc2019jcyjjqX0013","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G7777850861","display_name":null,"funder_award_id":"61772493","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7908663725","display_name":null,"funder_award_id":"61702475","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8548568345","display_name":null,"funder_award_id":"61902370","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"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":97,"referenced_works":["https://openalex.org/W151604921","https://openalex.org/W167624753","https://openalex.org/W572368116","https://openalex.org/W1479807131","https://openalex.org/W1501531539","https://openalex.org/W1565746575","https://openalex.org/W1612277053","https://openalex.org/W1636375694","https://openalex.org/W1847716059","https://openalex.org/W1887132526","https://openalex.org/W1973714356","https://openalex.org/W1976564639","https://openalex.org/W1981972832","https://openalex.org/W1983320747","https://openalex.org/W1992208280","https://openalex.org/W2000157792","https://openalex.org/W2008886893","https://openalex.org/W2017337590","https://openalex.org/W2018786844","https://openalex.org/W2051832123","https://openalex.org/W2054141820","https://openalex.org/W2106005123","https://openalex.org/W2112269233","https://openalex.org/W2119869458","https://openalex.org/W2124732843","https://openalex.org/W2144730813","https://openalex.org/W2150000644","https://openalex.org/W2152799677","https://openalex.org/W2153338628","https://openalex.org/W2153635508","https://openalex.org/W2155648952","https://openalex.org/W2167101736","https://openalex.org/W2170112109","https://openalex.org/W2200988052","https://openalex.org/W2257550357","https://openalex.org/W2296319761","https://openalex.org/W2398336627","https://openalex.org/W2481439837","https://openalex.org/W2525018552","https://openalex.org/W2537734429","https://openalex.org/W2584924584","https://openalex.org/W2588336250","https://openalex.org/W2595697910","https://openalex.org/W2611328865","https://openalex.org/W2642043218","https://openalex.org/W2740920897","https://openalex.org/W2743703549","https://openalex.org/W2749896022","https://openalex.org/W2752190933","https://openalex.org/W2767547957","https://openalex.org/W2768229290","https://openalex.org/W2770987547","https://openalex.org/W2772094226","https://openalex.org/W2787680366","https://openalex.org/W2788172561","https://openalex.org/W2788728386","https://openalex.org/W2788893025","https://openalex.org/W2790843050","https://openalex.org/W2799152959","https://openalex.org/W2805046565","https://openalex.org/W2829536470","https://openalex.org/W2888805505","https://openalex.org/W2890693049","https://openalex.org/W2901144993","https://openalex.org/W2907868678","https://openalex.org/W2913856343","https://openalex.org/W2917746835","https://openalex.org/W2921483425","https://openalex.org/W2928048063","https://openalex.org/W2948271276","https://openalex.org/W2965718579","https://openalex.org/W2966515423","https://openalex.org/W2967005398","https://openalex.org/W2980249749","https://openalex.org/W2996967608","https://openalex.org/W3023496898","https://openalex.org/W3038828093","https://openalex.org/W3047753861","https://openalex.org/W3092051759","https://openalex.org/W3094277857","https://openalex.org/W3097993951","https://openalex.org/W3100535899","https://openalex.org/W3120740533","https://openalex.org/W3122507327","https://openalex.org/W3124675547","https://openalex.org/W3161175575","https://openalex.org/W4242773347","https://openalex.org/W4250589301","https://openalex.org/W4289236186","https://openalex.org/W6606895137","https://openalex.org/W6639167513","https://openalex.org/W6676963778","https://openalex.org/W6677877763","https://openalex.org/W6678321527","https://openalex.org/W6682557032","https://openalex.org/W6682926446","https://openalex.org/W6758972637"],"related_works":["https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W2085630472","https://openalex.org/W4285201053","https://openalex.org/W2753779043","https://openalex.org/W4388820554"],"abstract_inverted_index":{"Online":[0],"streaming":[1,56,101],"feature":[2,19,52,105],"selection":[3,53,83],"(OSFS)":[4],"has":[5],"attracted":[6],"extensive":[7],"attention":[8],"during":[9],"the":[10,18,109,126],"past":[11],"decades.":[12],"Current":[13],"approaches":[14],"commonly":[15],"assume":[16],"that":[17,121],"space":[20],"of":[21,128],"fixed":[22],"data":[23,67,98,111,132],"instances":[24],"dynamically":[25],"increases":[26],"without":[27],"any":[28],"missing":[29,66,97,110,131],"data.":[30],"However,":[31],"this":[32,44,46,76],"assumption":[33],"does":[34],"not":[35],"always":[36],"hold":[37],"in":[38,61,99,135],"many":[39],"real":[40],"applications.":[41],"Motivated":[42],"by":[43,63],"observation,":[45],"study":[47,77],"aims":[48],"to":[49,90,95],"implement":[50],"online":[51,81],"from":[54],"sparse":[55,100],"features,":[57],"i.e.,":[58],"features":[59,102],"flow":[60],"one":[62,64],"with":[65],"as":[68],"instance":[69],"count":[70],"remains":[71],"fixed.":[72],"To":[73],"do":[74],"so,":[75],"proposes":[78],"a":[79],"latent-factor-analysis-based":[80],"sparse-streaming-feature":[82],"algorithm":[84],"(LOSSA).":[85],"Its":[86],"main":[87],"idea":[88],"is":[89],"apply":[91],"latent":[92],"factor":[93],"analysis":[94],"pre-estimate":[96],"before":[103],"conducting":[104],"selection,":[106],"thereby":[107],"addressing":[108],"issue":[112],"effectively":[113],"and":[114,117],"efficiently.":[115],"Theoretical":[116],"empirical":[118],"studies":[119],"indicate":[120],"LOSSA":[122],"can":[123],"significantly":[124],"improve":[125],"quality":[127],"OSFS":[129],"when":[130],"are":[133],"encountered":[134],"target":[136],"instances.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":34},{"year":2022,"cited_by_count":56},{"year":2021,"cited_by_count":5}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}