{"id":"https://openalex.org/W4315777734","doi":"https://doi.org/10.1109/icnsc55942.2022.10004194","title":"Online Sparse Streaming Feature Selection with Uncertainty","display_name":"Online Sparse Streaming Feature Selection with Uncertainty","publication_year":2022,"publication_date":"2022-12-15","ids":{"openalex":"https://openalex.org/W4315777734","doi":"https://doi.org/10.1109/icnsc55942.2022.10004194"},"language":"en","primary_location":{"id":"doi:10.1109/icnsc55942.2022.10004194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc55942.2022.10004194","pdf_url":null,"source":{"id":"https://openalex.org/S4363608241","display_name":"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101667541","display_name":"Feilong Chen","orcid":"https://orcid.org/0000-0002-4860-8483"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]},{"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"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feilong Chen","raw_affiliation_strings":["School of Computer Science and Technology, Chongqing University of Posts and Telecommunications Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences Chongqing School, University of Chinese Academy of Sciences,Chongqing,China,400714"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Chongqing University of Posts and Telecommunications Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences Chongqing School, University of Chinese Academy of Sciences,Chongqing,China,400714","institution_ids":["https://openalex.org/I10535382","https://openalex.org/I4210123021","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100602151","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-7788-9202"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["College of Computer and Information Science, Southwest University,Chongqing,China,400715"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University,Chongqing,China,400715","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051567462","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0002-6580-9287"},"institutions":[{"id":"https://openalex.org/I4210091787","display_name":"Zunyi Normal College","ror":"https://ror.org/00g2pnp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091787"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["School of Physics and Electronic Science, Zunyi Normal University,Zunyi,China,563002"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Science, Zunyi Normal University,Zunyi,China,563002","institution_ids":["https://openalex.org/I4210091787"]}]},{"author_position":"last","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":["Old Dominion University,Department of Computer Science,Norfolk,VA,USA,23529"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Old Dominion University,Department of Computer Science,Norfolk,VA,USA,23529","institution_ids":["https://openalex.org/I81365321"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7537,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73275724,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9962999820709229,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9962999820709229,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.986299991607666,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7471200823783875},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6406143307685852},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6324770450592041},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5794589519500732},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4990501403808594},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4799799621105194},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42050665616989136},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39778125286102295},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3917933404445648},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07252365350723267}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7471200823783875},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6406143307685852},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6324770450592041},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5794589519500732},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4990501403808594},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4799799621105194},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42050665616989136},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39778125286102295},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3917933404445648},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07252365350723267},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnsc55942.2022.10004194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc55942.2022.10004194","pdf_url":null,"source":{"id":"https://openalex.org/S4363608241","display_name":"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2333429615","display_name":null,"funder_award_id":"62176070","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W2153338628","https://openalex.org/W2257550357","https://openalex.org/W2583908852","https://openalex.org/W2765820394","https://openalex.org/W2806781084","https://openalex.org/W2890693049","https://openalex.org/W2890838230","https://openalex.org/W2907868678","https://openalex.org/W2913856343","https://openalex.org/W2928382658","https://openalex.org/W2944017292","https://openalex.org/W2966515423","https://openalex.org/W2967005398","https://openalex.org/W2969519120","https://openalex.org/W2996967608","https://openalex.org/W3006625545","https://openalex.org/W3019042437","https://openalex.org/W3019396605","https://openalex.org/W3020067472","https://openalex.org/W3023050749","https://openalex.org/W3024536663","https://openalex.org/W3047753861","https://openalex.org/W3092051759","https://openalex.org/W3094071795","https://openalex.org/W3095729346","https://openalex.org/W3110116780","https://openalex.org/W3114536428","https://openalex.org/W3117495151","https://openalex.org/W3123160711","https://openalex.org/W3125064526","https://openalex.org/W3127476452","https://openalex.org/W3139450561","https://openalex.org/W3147042192","https://openalex.org/W3151089061","https://openalex.org/W3153539640","https://openalex.org/W3162882181","https://openalex.org/W3193978175","https://openalex.org/W3213920736","https://openalex.org/W4285166467","https://openalex.org/W4293107381","https://openalex.org/W6794989883"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W3147584709","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W2322875716","https://openalex.org/W2961085424","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Online":[0],"streaming":[1,31,55,80,106,128],"feature":[2,7,32,81,110,134],"selection":[3,8,82],"(OSFS),":[4],"which":[5,38],"conducts":[6],"in":[9,17,43,73,104,164],"an":[10,14,77],"online":[11,78],"manner,":[12],"plays":[13],"important":[15],"role":[16],"dealing":[18],"with":[19,83,142],"high-dimensional":[20],"data.":[21],"In":[22,136],"many":[23],"real":[24,149],"applications":[25],"such":[26,65],"as":[27],"intelligent":[28],"healthcare":[29],"platform,":[30],"always":[33],"has":[34],"some":[35],"missing":[36,102,160],"data,":[37],"raises":[39],"a":[40],"crucial":[41],"challenge":[42],"conducting":[44,109,133],"OSFS,":[45],"i.e.,":[46],"how":[47],"to":[48,99,122],"establish":[49],"the":[50,101,124,137],"uncertain":[51],"relationship":[52],"between":[53,126],"sparse":[54,79,105],"features":[56,107,129],"and":[57,112,116,130],"labels.":[58],"Unfortunately,":[59],"existing":[60],"OSFS":[61,145],"algorithms":[62,146],"never":[63],"consider":[64],"uncer-tain":[66],"relationship.":[67],"To":[68],"fill":[69],"this":[70,74],"gap,":[71],"we":[72],"paper":[75],"propose":[76],"uncertainty":[84,125],"(OS2FSU)":[85],"algorithm.":[86],"OS2FSU":[87,139,155],"consists":[88],"of":[89],"two":[90],"main":[91],"parts:":[92],"1)":[93],"latent":[94],"factor":[95],"analysis":[96],"is":[97,140],"utilized":[98],"pre-estimate":[100],"data":[103,161],"before":[108],"selection,":[111],"2)":[113],"fuzzy":[114],"logic":[115],"neighborhood":[117],"rough":[118],"set":[119],"are":[120,162],"employed":[121],"alleviate":[123],"estimated":[127],"labels":[131],"during":[132],"selection.":[135],"experi-ments,":[138],"compared":[141],"five":[143],"state-of-the-art":[144],"on":[147],"six":[148],"datasets.":[150],"The":[151],"results":[152],"demonstrate":[153],"that":[154],"outperforms":[156],"its":[157],"competitors":[158],"when":[159],"en-countered":[163],"OSFS.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}